mirror of
https://github.com/vladmandic/automatic
synced 2026-09-19 09:14:35 +02:00
Vladimir Mandic
1735 lines
265 KiB
JSON
1735 lines
265 KiB
JSON
{
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"0": [
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{"id":"","label":"1st Stage","localized":"","hint":"","ui":"script_freescale"},
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{"id":"","label":"2nd Stage","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"2nd Scale","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"2nd Restart step","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"3rd Stage","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"3rd Scale","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"3rd Restart step","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"4th Stage","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"4th Scale","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"4th Restart step","localized":"","hint":"","ui":"script_freescale"}
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||
],
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"_": [
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||
{"id":"txt2img_styles_refresh","label":"⟲","localized":"","hint":"Refresh","ui":"txt2img"},
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||
{"id":"txt2img_styles_apply","label":"↶","localized":"","hint":"Apply selected style to prompt","ui":"txt2img"},
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||
{"id":"txt2img_styles_save","label":"↷","localized":"","hint":"Save current prompt to style","ui":"txt2img"},
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||
{"id":"txt2img_res_btn_swap","label":"⇅","localized":"","hint":"Swap values","ui":"txt2img"},
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||
{"id":"txt2img_seed_random","label":"🎲️","localized":"","hint":"Use random seed","ui":"txt2img"},
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||
{"id":"txt2img_seed_reuse","label":"⬅️","localized":"","hint":"Reuse seed from last known generated image","ui":"txt2img"},
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{"id":"txt2img_guider_docs","label":"🕮","localized":"","hint":"Save parameters from last generated image as style template","ui":"txt2img"},
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||
{"id":"txt2img_resize_detect_size","label":"📐","localized":"","hint":"Measure size from existing image","ui":"txt2img"},
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||
{"id":"txt2img_yolo_models_list","label":"☲","localized":"","hint":"Change view type","ui":"txt2img"},
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||
{"id":"xyz_grid_x_list","label":"⊜","localized":"","hint":"Fill","ui":"script_xyz_grid_script"},
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{"id":"txt2img_caption_output","label":"","localized":"","hint":"Caption image","ui":"txt2img"},
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{"id":"txt2img_image_fit","label":"⁜","localized":"","hint":"Cycle image fit method","ui":"txt2img"},
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{"id":"","label":"➠ Control","localized":"","hint":"Transfer image to the <b><i>Images</i></b> tab.<br><br>Right-click this button to transfer only the prompt or all generation parameters without sending the image itself.","ui":"txt2img"},
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{"id":"","label":"➠ Text","localized":"","hint":"Transfer image to text interface","ui":"txt2img"},
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{"id":"","label":"➠ Image","localized":"","hint":"Transfer image to image interface","ui":"txt2img"},
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{"id":"","label":"➠ Process","localized":"","hint":"Transfer image to process interface","ui":"txt2img"},
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{"id":"","label":"➠ Caption","localized":"","hint":"Transfer image to caption interface","ui":"txt2img"},
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{"id":"","label":"➠ Sketch","localized":"","hint":"Transfer image to sketch interface","ui":"img2img"},
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{"id":"","label":"➠ Inpaint","localized":"","hint":"Transfer image to inpaint interface","ui":"img2img"},
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{"id":"","label":"➠ Composite","localized":"","hint":"Transfer image to inpaint sketch interface","ui":"img2img"},
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{"id":"controlnet_unit-0-upload","label":"⬆️","localized":"","hint":"Upload image","ui":"control"},
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{"id":"controlnet_unit-0-reset","label":"🔄","localized":"","hint":"Reset values","ui":"control"},
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{"id":"controlnet_unit-0-preview","label":"🖼️","localized":"","hint":"Show preview","ui":"control"},
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{"id":"video_model_load","label":"↺","localized":"","hint":"Immediately apply selection","ui":"video"},
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{"id":"component-5878","label":"","localized":"","hint":"Sort by name, ascending","ui":"gallery"},
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{"id":"component-5879","label":"","localized":"","hint":"Sort by name, descending","ui":"gallery"},
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{"id":"component-5880","label":"","localized":"","hint":"Sort by size, ascending","ui":"gallery"},
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||
{"id":"component-5881","label":"","localized":"","hint":"Sort by size, descending","ui":"gallery"},
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{"id":"component-5882","label":"","localized":"","hint":"Sort by resolution, ascending","ui":"gallery"},
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||
{"id":"component-5883","label":"","localized":"","hint":"Sort by resolution, descending","ui":"gallery"},
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{"id":"component-5884","label":"","localized":"","hint":"Sort by time, ascending","ui":"gallery"},
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{"id":"component-5885","label":"","localized":"","hint":"Sort by time, descending","ui":"gallery"},
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{"id":"quicksettings_clear","label":"⊗","localized":"","hint":"Reset values"},
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{"id":"docs_btn_search","label":"🔍","localized":"","hint":"Search","ui":"system_tab_docs"},
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{"id":"component-5667","label":"⇨","localized":"","hint":"Apply preset","ui":"component-5660"},
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{"id":"txt2img_extra_model","label":"※","localized":"","hint":"Load model as secondary model when selected, otherwise load as base model"},
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{"id":"txt2img_extra_scan","label":"🔎︎","localized":"","hint":"Scan CivitAI for missing metadata and previews"},
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{"id":"txt2img_extra_sort","label":"⇕","localized":"","hint":"Sort by: Name asc/desc, Size largest/smallest, Time newest/oldest"},
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{"id":"txt2img_extra_close","label":"✕","localized":"","hint":"Close"},
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{"id":"","label":"_Guidance scale","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"_Guidance rescale","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"_Guidance start","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"_Guidance stop","localized":"","hint":"","ui":"txt2img"},
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{"id":"tag_autocomplete_refresh","label":"⟲","localized":"","hint":"Fetch list of available tag dictionaries from the remote repository","ui":"script_autocomplete"},
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{"id":"tag_autocomplete_update","label":"⇩","localized":"","hint":"Re-download enabled dictionaries if a newer version is available","ui":"script_autocomplete"}
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],
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"a": [
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{"id":"","label":"Active dictionaries","localized":"","hint":"Select which tag dictionaries are used for prompt autocompletion.<br>Dictionaries not yet downloaded locally will be fetched automatically when the autocomplete engine loads them.","ui":"script_autocomplete"},
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{"id":"video_audio","label":"Audio","localized":"","hint":"Generate synchronized audio for video models with audio support<br>When disabled, audio decode and muxing are skipped and the audio component stays off the device","ui":"video"},
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{"id":"ltx_audio_accordion","label":"Audio","localized":"","hint":"Audio track settings for video models with audio support","ui":"video"},
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{"id":"txt2img_advanced","label":"Advanced","localized":"","hint":"Advanced settings used to run image generation","ui":"txt2img"},
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{"id":"txt2img_adapters","label":"Adapters","localized":"","hint":"Settings related to IP Adapters","ui":"txt2img"},
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{"id":"component-981","label":"Apply to model","localized":"","hint":"","ui":"script_layerdiffuse"},
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{"id":"btn_clip_analyze_img","label":"Analyze","localized":"","hint":"","ui":"caption"},
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{"id":"component-8740","label":"Apply changes","localized":"","hint":"Apply all changes and restart server","ui":"component-8724"},
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{"id":"settings_submit","label":"Apply settings","localized":"","hint":"Save current settings, server restart is recommended"},
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{"id":"component-5578","label":"Analyze model","localized":"","hint":"","ui":"models_current_tab"},
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{"id":"","label":"All","localized":"","hint":"","ui":"component-98"},
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{"id":"","label":"Alpha","localized":"","hint":"","ui":"component-5674"},
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{"id":"","label":"Advanced Options","localized":"","hint":"","ui":"settings_sd"},
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{"id":"","label":"Appearance","localized":"","hint":"","ui":"settings_ui"},
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{"id":"","label":"Answer","localized":"","hint":"","ui":"caption"},
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{"id":"","label":"Adjust start","localized":"","hint":"Lower bound of the denoising window where Sigma adjust is active, as a fraction of the noise schedule (1.0 = pure noise, 0.0 = clean image).<br>The adjustment stops once denoising progresses past this point, so higher values end the effect earlier.<br><br>Default 0.2 leaves the final ~20% of the schedule unmodified.","ui":"txt2img"},
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{"id":"","label":"Adjust end","localized":"","hint":"Upper bound of the denoising window where Sigma adjust is active, as a fraction of the noise schedule (1.0 = pure noise, 0.0 = clean image).<br>The adjustment only begins once denoising has progressed past this point, so lower values delay the effect further into the run.<br><br>Default 0.8 leaves the first ~20% of the schedule unmodified.","ui":"txt2img"},
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{"id":"","label":"Autocomplete","localized":"","hint":"Enable or disable Tag Autocomplete. Choose which dictionaries are used for prompt autocompletion in Extras","ui":"control"},
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{"id":"","label":"AutoGuidance dropout","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"AutoGuidance layers","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"AutoGuidance config","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"APG momentum","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"APG rescale","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"Attention guidance","localized":"","hint":"Dual-purpose slider that activates one of two guidance mechanisms depending on the loaded model.<br>- <b>SD 1.5 and SDXL</b>: enables Perturbed Attention Guidance (PAG). Sdnext silently swaps the pipeline to a PAG-aware variant and steers generation away from a self-attention-perturbed prediction, improving structure and detail. Used in addition to the regular <b><i>Guidance scale</i></b>.<br>- <b>Flux, QwenImage, HiDream, Hunyuan Video, Sana, and other flow-matching models</b>: routes to true_cfg_scale, enabling classifier-free guidance with negative prompts on models that don't natively use CFG.<br>On other models the slider has no effect.<br><br>Set to 0 to disable.<br>Disabled by default.","ui":"txt2img"},
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{"id":"","label":"Adaptive scaling","localized":"","hint":"Decay rate for the Perturbed Attention Guidance (PAG) component of <b><i>Attention guidance</i></b>. Higher values cause PAG strength to decay faster across the denoising steps.<br><br>Only takes effect on <i>SD 1.5</i> and <i>SDXL</i> when <b><i>Attention guidance</i></b> is non-zero (the only path that actually enables PAG). Has no effect on <i>Flux</i>, <i>QwenImage</i>, <i>HiDream</i>, or other flow-matching models that route <b><i>Attention guidance</i></b> to true_cfg_scale instead.<br><br>Default 0.5 applies moderate decay. Set to 0 to keep PAG at full strength for the entire process.","ui":"txt2img"},
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{"id":"","label":"Apply to hires","localized":"","hint":"","ui":"txt2img"},
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{"id":"","label":"Active IP adapters","localized":"","hint":"Number of active IP adapter","ui":"txt2img"},
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{"id":"","label":"Adapter","localized":"","hint":"IP adapter model","ui":"txt2img"},
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{"id":"","label":"Anchor settings","localized":"","hint":"","ui":"script_consistory"},
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{"id":"","label":"Alpha preset","localized":"","hint":"","ui":"script_consistory"},
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{"id":"","label":"Append heatmaps to results","localized":"","hint":"","ui":"script_daam"},
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{"id":"","label":"Auto apply","localized":"","hint":"","ui":"script_flux_prompt_enhance_(legacy)"},
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{"id":"","label":"Add time info","localized":"","hint":"","ui":"script_xyz_grid_script"},
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{"id":"","label":"Add text info","localized":"","hint":"","ui":"script_xyz_grid_script"},
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{"id":"","label":"Add metadata","localized":"","hint":"","ui":"script_nudenet"},
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{"id":"","label":"Allowed languages","localized":"","hint":"","ui":"script_nudenet"},
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{"id":"","label":"Allowed alphabets","localized":"","hint":"","ui":"script_nudenet"},
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{"id":"","label":"Apply to prompt","localized":"","hint":"Automatically copy enhanced result to the prompt input box","ui":"script_prompt_enhance"},
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{"id":"","label":"Auto enhance","localized":"","hint":"Automatically enhance prompt before every image generation","ui":"script_prompt_enhance"},
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{"id":"","label":"ACI: Color to Mask","localized":"","hint":"Pick the color you want to mask and inpaint. Click on the color in the image to automatically select it.<br> Advised to use images like green screens to get precise results.","ui":"script_automatic_color_inpaint"},
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{"id":"","label":"ACI: Color tolerance","localized":"","hint":"Adjust the tolerance to include similar colors in the mask. Lower values = mask only very similar colors. Higher = values mask a wider range of similar colors.","ui":"script_automatic_color_inpaint"},
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{"id":"","label":"ACI: Denoising strength","localized":"","hint":"Change Denoising Strength to achieve desired inpaint amount.","ui":"script_automatic_color_inpaint"},
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{"id":"","label":"ACI: Mask dilate","localized":"","hint":"","ui":"script_automatic_color_inpaint"},
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{"id":"","label":"ACI: Mask erode","localized":"","hint":"Adjust padding to apply a inside offset to the mask. (Recommended value = 2 to remove leftovers at edges)","ui":"script_automatic_color_inpaint"},
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{"id":"","label":"ACI: Mask blur","localized":"","hint":"Adjust blur to apply a smooth transition between image and inpainted area. (Recommended value = 0 for sharpness)","ui":"script_automatic_color_inpaint"},
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{"id":"","label":"Adaptive restore","localized":"","hint":"","ui":"script_instantir"},
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{"id":"","label":"Apply noise","localized":"","hint":"","ui":"script_softfill"},
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{"id":"","label":"Auto min score","localized":"","hint":"Minimum stability score for masks produced by <b>Auto-segment</b> (Facebook SAM and SlimSAM models).<br>Higher values keep only the most confident masks; lower values include more candidates including noisier ones. Has no effect on Rembg models or on the <b>Auto-mask</b> threshold/edge methods.<br><br>Default 0.8.","ui":"control"},
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{"id":"","label":"Auto-segment","localized":"","hint":"Automatic foreground segmentation model. Runs on the input image to generate a mask without manual painting.<br><b>None</b>: no auto-segmentation; the manually painted mask is used instead.<br><b>Facebook SAM ViT (Base/Large/Huge)</b>: Meta's Segment Anything Model. Quality scales with size, Huge is the most accurate but slowest and largest in VRAM.<br><b>SlimSAM Uniform / Uniform Tiny</b>: pruned, faster SAM variants with a good speed/quality tradeoff for repetitive workflows.<br><b>Rembg BEN2 / Silueta / U2Net / U2Net human / ISNet general / ISNet anime</b>: lightweight background-removal models. Pick by content: <b>U2Net human</b> or <b>BEN2</b> for people, <b>ISNet anime</b> for illustrations, <b>U2Net</b> or <b>Silueta</b> for general subjects.<br><br>Models are downloaded on first use.<br>Default None.","ui":"control"},
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{"id":"","label":"Auto-mask","localized":"","hint":"Automatic mask generation from the input image using simple computer-vision methods (no neural model). Runs only when no manual mask is painted and <b>Auto-segment</b> is set to None.<br><b>None</b>: disabled.<br><b>Threshold</b>: Otsu binary threshold; everything brighter than the auto-computed threshold becomes the mask. Works for high-contrast subjects on plain backgrounds.<br><b>Edge</b>: detects contours and keeps the largest ones; useful for masking distinct objects with clear outlines.<br><b>Grayscale</b>: uses the image's luminance as the mask intensity, producing a soft, gradient-style mask.<br><br>Default None.","ui":"control"},
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||
{"id":"","label":"Active","localized":"","hint":"","ui":"control"},
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||
{"id":"","label":"Attention","localized":"","hint":"","ui":"control"},
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||
{"id":"","label":"Adain","localized":"","hint":"","ui":"control"},
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||
{"id":"","label":"Attention Adain","localized":"","hint":"","ui":"control"},
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||
{"id":"","label":"Apply filter","localized":"","hint":"","ui":"control"},
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||
{"id":"","label":"Alpha matting","localized":"","hint":"","ui":"extras"},
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||
{"id":"","label":"Append Caption Files","localized":"","hint":"Append to existing caption files instead of overwriting them.<br>Useful for adding additional descriptions or tags to images that already have captions.","ui":"caption"},
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||
{"id":"","label":"a1111","localized":"","hint":"","ui":"settings_text_encoder"},
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||
{"id":"","label":"Autocast","localized":"","hint":"Automatically determine precision during runtime","ui":"settings_cuda"},
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||
{"id":"","label":"Auto","localized":"","hint":"","ui":"settings_cuda"},
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||
{"id":"","label":"Automatic server status monitor rate","localized":"","hint":"","ui":"settings_server"},
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||
{"id":"","label":"Automatic server memory monitor rate","localized":"","hint":"","ui":"settings_server"},
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||
{"id":"","label":"API base rate limit rate","localized":"","hint":"","ui":"settings_server"},
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||
{"id":"","label":"accuracy","localized":"","hint":"","ui":"settings_backends"},
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||
{"id":"","label":"atiadlxx (AMD only)","localized":"","hint":"","ui":"settings_backends"},
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||
{"id":"","label":"aot_ts_nvfuser","localized":"","hint":"","ui":"settings_compile"},
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||
{"id":"","label":"Additional image browser folders","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Add system information to metadata","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"Autolaunch browser upon startup","localized":"","hint":"","ui":"settings_ui"},
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||
{"id":"","label":"Allowed aspect ratios","localized":"","hint":"","ui":"settings_ui"},
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||
{"id":"","label":"Approximate","localized":"","hint":"Cheap neural network approximation. Very fast compared to VAE, but produces pictures with 4 times smaller horizontal/vertical resolution and lower quality","ui":"settings_live-preview"},
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||
{"id":"","label":"Additional postprocessing operations","localized":"","hint":"","ui":"settings_postprocessing"},
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||
{"id":"","label":"Apply color correction","localized":"","hint":"","ui":"settings_postprocessing"},
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||
{"id":"","label":"Apply mask as overlay","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Apply sRGB linearization","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Available networks","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Auto-convert SD15 embeddings to SDXL","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"alias","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Attention query chunk size","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Attention kv chunk size","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Attention chunking threshold","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Attempt VAE roll back for NaN values","localized":"","hint":"Requires Torch 2.1 and NaN check enabled","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Add extended info to filename when saving grid","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Add LoRA to prompt","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Alpha Ratio","localized":"","hint":"","ui":"component-5655"},
|
||
{"id":"","label":"ALPHA Block Weight Preset","localized":"","hint":"","ui":"component-5660"},
|
||
{"id":"","label":"Automatically determine rank","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Autorank ratio","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Advanced guidance params","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Adapter 1","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Adapter 2","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Adapter 3","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Adapter 4","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Audio","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Attention method","localized":"","hint":"Attention processor the pipeline is loaded with.<br><br><b>Scaled-Dot-Product</b> uses torch attention and is the path the rest of this section builds on; <b><i>SDP kernels</i></b> and <b><i>SDP overrides</i></b> apply to it and to nothing else.<br><b>xFormers</b> uses the xFormers library on the modules that accept it.<br><b>Disabled</b> leaves whatever the pipeline was built with.<br><br>Default Scaled-Dot-Product.","ui":"settings_cuda"},
|
||
{"id":"","label":"Attention slicing","localized":"","hint":"Computes attention in slices instead of one pass, trading speed for a lower memory peak. Applied by the pipeline rather than by the kernel, so it stacks on whichever <b><i>Attention method</i></b> is active.<br><br><b>Default</b> leaves the pipeline's own choice untouched, which for most models means off.<br><b>Enabled</b> and <b>Disabled</b> override that choice.<br><br>Unrelated to <b>Dynamic attention</b>, which slices by a memory estimate; this one is diffusers' fixed slicing.<br><br>Default <b>Default</b>.","ui":"settings_cuda"},
|
||
{"id":"","label":"Attention Dispatcher","localized":"","hint":"Diffusers keeps its own attention backend registry, separate from the torch level settings above. A backend chosen here is installed on the model itself and changes what diffusers dispatches to inside its transformer blocks.<br><br>Applies to diffusion transformer models that expose the call. UNet models and pipelines without it are left alone.","ui":"settings_cuda"},
|
||
{"id":"","label":"Attention dispatcher kernel","localized":"","hint":"Name of the diffusers attention backend to install on the model. Empty leaves the diffusers default in place.<br><br>Accepted names come from the diffusers build in use and currently include <b>native</b>, <b>flash</b>, <b>flash_varlen</b>, <b>flex</b>, <b>sage</b>, <b>sage_varlen</b> and <b>xformers</b>, alongside underscore-prefixed variants that pin one specific kernel.<br>A name is checked against that list, and an unrecognized one is logged as a warning with the full list while the model keeps its current backend. A recognized name whose package is missing is logged as an error at the same point, with the same result.<br>Names ending in <b>_hub</b> fetch the kernel from the Hugging Face Hub on first use, which needs a download and the kernels package.<br><br>Empty by default.","ui":"settings_cuda"}
|
||
],
|
||
"b": [
|
||
{"id":"","label":"Batch","localized":"","hint":"Batch processing settings","ui":"img2img"},
|
||
{"id":"btn_vlm_caption_batch","label":"Batch Caption","localized":"","hint":"","ui":"caption"},
|
||
{"id":"btn_wd_tag_batch","label":"Batch Tag","localized":"","hint":"","ui":"caption"},
|
||
{"id":"","label":"Benchmark","localized":"","hint":"Run benchmarks"},
|
||
{"id":"","label":"Backend Settings","localized":"","hint":"Settings related to compute backends: torch, onnx and olive"},
|
||
{"id":"","label":"Beta","localized":"","hint":"","ui":"component-5674"},
|
||
{"id":"","label":"Balanced Offload","localized":"","hint":"Moves whole components between VRAM and system memory as each one is needed, keeping as much on the GPU as the watermarks below allow.<br>Suited to models whose individual components fit in VRAM; a single component larger than the card still will not fit.<br><br>Applies only when <b><i>Model offload mode</i></b> is <b>balanced</b>.","ui":"settings_offload"},
|
||
{"id":"","label":"BitsAndBytes","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Batch count","localized":"","hint":"How many batches of images to create (has no impact on generation performance or VRAM usage)","ui":"txt2img"},
|
||
{"id":"","label":"Batch size","localized":"","hint":"How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)","ui":"txt2img"},
|
||
{"id":"","label":"Beta schedule","localized":"","hint":"Defines how beta (noise strength per step) grows. Options:<br>- <b>default</b>: the model default<br>- <b>linear</b>: evenly decays noise per step<br>- <b>scaled</b>: squared version of linear, used only by Stable Diffusion<br>- <b>cosine</b>: smoother decay, often better results with fewer steps<br>- <b>sigmoid</b>: sharp transition, experimental","ui":"txt2img"},
|
||
{"id":"","label":"Base shift","localized":"","hint":"Minimum shift value for low resolutions when using dynamic shifting.","ui":"txt2img"},
|
||
{"id":"","label":"Brightness","localized":"","hint":"Adjusts overall image brightness.<br>Positive values lighten the image, negative values darken it.<br><br>Applied uniformly across all pixels in linear space.","ui":"txt2img"},
|
||
{"id":"","label":"Block","localized":"","hint":"","ui":"script_kohya_hires_fix"},
|
||
{"id":"","label":"Block size","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Banned words","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Blur","localized":"","hint":"Softens the mask edge with a Gaussian blur so the boundary between masked and unmasked regions blends gradually instead of cutting hard.<br>Reduces visible seams at the mask edge after generation. Combine with a small <b><i>Dilate</i></b> to push the soft transition just outside the original mask.<br>Sigma scales with image size: at value 0.05 on a 1024px image the blur radius is roughly 13 pixels.<br><br>Set to 0 to disable.<br>Default 0.","ui":"img2img"},
|
||
{"id":"","label":"Batch input directory","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"","label":"Batch output directory","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"","label":"Batch mask directory","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"","label":"Background threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Body","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Boost","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Blend strength","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Base model","localized":"","hint":"Main model used for all operations"},
|
||
{"id":"","label":"Backend","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Benchmark steps","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"Benchmark level","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"Benchmark Image width","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"Benchmark Image height","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"balanced","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"block_level","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Backend storage","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"BF16","localized":"","hint":"Use modified 16-bit floating point precision for calculations","ui":"settings_cuda"},
|
||
{"id":"","label":"BCFHW","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"BFCHW","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"BCHW","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Batch mode uses sequential seeds","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Batch uses original name","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Base images folder","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Base grids folder","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Build info on first access","localized":"","hint":"Prevents server from building EN page on server startup and instead build it when requested","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Beta Ratio","localized":"","hint":"","ui":"component-5655"},
|
||
{"id":"","label":"BETA Block Weight Preset","localized":"","hint":"","ui":"component-5660"},
|
||
{"id":"","label":"Base model type","localized":"","hint":"","ui":"models_replace_tab"}
|
||
],
|
||
"c": [
|
||
{"id":"caption_nav","label":"Caption","localized":"","hint":"Analyze existing images and create text descriptions"},
|
||
{"id":"contributors","label":"Contributors","localized":"","hint":""},
|
||
{"id":"txt2img_corrections","label":"Corrections","localized":"","hint":"Control image color/sharpen/brighness corrections during generate process","ui":"txt2img"},
|
||
{"id":"txt2img_clear_prompt_btn","label":"Clear","localized":"","hint":"Clear prompts","ui":"txt2img"},
|
||
{"id":"component-980","label":"Check status","localized":"","hint":"","ui":"script_layerdiffuse"},
|
||
{"id":"","label":"Copy","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Composite","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"control_params_elements","label":"Control","localized":"","hint":"Create image with full guidance","ui":"control"},
|
||
{"id":"","label":"ControlNet","localized":"","hint":"<i>ControlNet</i> is an advanced guidance model","ui":"control"},
|
||
{"id":"caption_tab_controls","label":"Controls","localized":"","hint":"","ui":"caption"},
|
||
{"id":"","label":"CaptionCaption","localized":"","hint":"","ui":"caption"},
|
||
{"id":"btn_console","label":"Console","localized":"","hint":""},
|
||
{"id":"ui_update_check","label":"Check for updates","localized":"","hint":"","ui":"tab_update"},
|
||
{"id":"","label":"Change log","localized":"","hint":""},
|
||
{"id":"","label":"Compute Settings","localized":"","hint":"Settings related to compute precision, cross attention, and optimizations for computing platforms"},
|
||
{"id":"","label":"Current","localized":"","hint":"Analyze modules inside currently loaded model"},
|
||
{"id":"","label":"CivitAI","localized":"","hint":"Search and download models from CitivAI"},
|
||
{"id":"component-5603","label":"Calculate missing hashes","localized":"","hint":"","ui":"models_list_tab"},
|
||
{"id":"","label":"Community","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"","label":"Cloud","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"txt2img_extra_details_close_desc","label":"Close","localized":"","hint":"","ui":"component-59"},
|
||
{"id":"change_checkpoint","label":"Change model","localized":"","hint":""},
|
||
{"id":"change_refiner","label":"Change refiner","localized":"","hint":""},
|
||
{"id":"change_vae","label":"Change VAE","localized":"","hint":""},
|
||
{"id":"change_unet","label":"Change UNet","localized":"","hint":""},
|
||
{"id":"change_reference","label":"Change reference","localized":"","hint":""},
|
||
{"id":"","label":"Color Grading","localized":"","hint":"Post-generation color adjustments, applied per-image after generation and before mask overlay.","ui":"txt2img"},
|
||
{"id":"","label":"Control Methods","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control Media","localized":"","hint":"Add input image as separate initialization image for control processing","ui":"control"},
|
||
{"id":"","label":"Create Video","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"ChronoEdit","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Cross Attention","localized":"","hint":"Selects how attention is computed during generation. Attention is where a diffusion model spends most of its time and most of its peak memory, so these settings move both.<br><br>Three layers apply in order. <b><i>Attention method</i></b> picks the attention processor the pipeline is loaded with. <b><i>SDP kernels</i></b> limits which kernels torch may choose from inside its own attention. <b><i>SDP overrides</i></b> replaces torch attention with a different implementation for the calls that implementation accepts.<br>Overrides are tried in priority order and each one declines the calls it cannot serve, so several can be enabled at once and whatever is left over falls back to torch.","ui":"settings_cuda"},
|
||
{"id":"","label":"CLiP Skip","localized":"","hint":"Early stopping parameter for the CLiP text encoder; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache-DiT","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"CFG-Zero","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache folders","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Custom model loader","localized":"","hint":"","ui":"models_loader_tab"},
|
||
{"id":"","label":"Client log","localized":"","hint":""},
|
||
{"id":"","label":"CLiP Analysis","localized":"","hint":"Detailed analysis output from OpenCLiP, listing the matched medium, artist, movement, trending, and flavor terms.<br>Populated when you click the Analyze button next to the OpenCLiP Caption button.","ui":"caption"},
|
||
{"id":"","label":"Context","localized":"","hint":"Behavior of the Context aware resize Mode (no effect with any other Mode).<br><b>Add</b>: extend the image by inserting new pixels along smooth, featureless paths (like sky or plain backgrounds), avoiding detailed regions.<br><b>Remove</b>: shrink the image by removing pixels along the same low-detail paths.<br><b>Forward</b>: examine what the image will look like after each seam is added or removed, picking the paths that minimize visible damage. Slower but higher quality.<br><b>Backward</b>: pick paths based on existing pixel contrast in the image. Faster, classic seam-carving.","ui":"resize"},
|
||
{"id":"","label":"Contrast","localized":"","hint":"Adjusts the difference between light and dark areas.<br>Positive values increase contrast, making darks darker and lights brighter.<br>Negative values flatten the tonal range toward a more uniform appearance.","ui":"txt2img"},
|
||
{"id":"","label":"Color temp","localized":"","hint":"Shifts color temperature in Kelvin.<br>Lower values (e.g., 2000K) produce a warm, amber tone. Higher values (e.g., 12000K) produce a cool, bluish tone.<br><br>Default 6500K is neutral daylight. Works by scaling R/G/B channels to simulate the target white point.","ui":"txt2img"},
|
||
{"id":"","label":"CLAHE clip","localized":"","hint":"Clip limit for Contrast Limited Adaptive Histogram Equalization.<br>Higher values allow more local contrast enhancement, which brings out detail in flat regions.<br><br>Set to 0 to disable. Typical values are 1.0–3.0. Very high values can introduce noise amplification.","ui":"txt2img"},
|
||
{"id":"","label":"CLAHE grid","localized":"","hint":"Grid size for CLAHE tile regions.<br>Smaller grids (e.g., 2–4) produce coarser, more global equalization.<br>Larger grids (e.g., 12–16) enhance finer local detail but may amplify noise.<br><br>Default is 8. Only active when CLAHE clip is above 0.","ui":"txt2img"},
|
||
{"id":"","label":"Correction mode","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Crop to portrait","localized":"","hint":"Crop input image to portrait-only before using it as IP adapter input","ui":"txt2img"},
|
||
{"id":"","label":"Concept Tokens","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Colormap","localized":"","hint":"OpenCV color palette used to visualize the mask or heatmap overlay.<br>For control masks, this is the palette applied when <b>Preview</b> is set to Color or Composite. Pick one that contrasts well with the input image so the overlay stays readable.<br><br>Default pink (control mask), jet (DAAM script).","ui":"script_daam"},
|
||
{"id":"","label":"Cosine scale 1","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"Cosine scale 2","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"Cosine scale 3","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"Cache model","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Cosine scale","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"Cosine Background","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"Control guidance","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"comma","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"Columns","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"Censor","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Check language","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Check policy violations","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Check banned words","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Control preprocess input images","localized":"","hint":"","ui":"script_flux_tools"},
|
||
{"id":"","label":"Control override denoise strength","localized":"","hint":"","ui":"script_flux_tools"},
|
||
{"id":"","label":"Color variation","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Change rate","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Context after","localized":"","hint":"Behavior of the Context aware resize Mode applied to the <b>output</b> image after the model finishes generating (Post sub-tab in the Size accordion; no effect with any other Mode).<br><b>Add</b>: extend the image by inserting new pixels along smooth, featureless paths (like sky or plain backgrounds), avoiding detailed regions.<br><b>Remove</b>: shrink the image by removing pixels along the same low-detail paths.<br><b>Forward</b>: examine what the image will look like after each seam is added or removed, picking the paths that minimize visible damage. Slower but higher quality.<br><b>Backward</b>: pick paths based on existing pixel contrast in the image. Faster, classic seam-carving.","ui":"control"},
|
||
{"id":"","label":"Context mask","localized":"","hint":"Behavior of the Context aware resize Mode applied to the input <b>mask</b> image (used for inpainting, outpainting, or control masks; Mask sub-tab in the Size accordion; no effect with any other Mode).<br><b>Add</b>: extend the image by inserting new pixels along smooth, featureless paths (like sky or plain backgrounds), avoiding detailed regions.<br><b>Remove</b>: shrink the image by removing pixels along the same low-detail paths.<br><b>Forward</b>: examine what the image will look like after each seam is added or removed, picking the paths that minimize visible damage. Slower but higher quality.<br><b>Backward</b>: pick paths based on existing pixel contrast in the image. Faster, classic seam-carving.","ui":"control"},
|
||
{"id":"","label":"Control only","localized":"","hint":"This uses only the <b><i>Control input</i></b> below as the source for any <i>ControlNet</i> or <i>IP Adapter</i> type tasks based on any of our various options.","ui":"control"},
|
||
{"id":"","label":"CN Mode","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"CN Strength","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"CN Start","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"CN End","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"CN Tiles","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control factor","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet-XS","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Coarse","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Color map","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Crop to fit","localized":"","hint":"If the dimensions of your source image (e.g. 512x510) deviate from your target dimensions (e.g. 1024x768) this function will fit your upscaled image into your target size image. Excess will be cropped","ui":"extras"},
|
||
{"id":"","label":"CLiP Model","localized":"","hint":"CLiP model used for image-text similarity matching.<br>Larger models (ViT-L, ViT-H) are more accurate but slower and use more VRAM.","ui":"caption"},
|
||
{"id":"","label":"Caption Model","localized":"","hint":"BLIP model used to generate the initial image caption.<br>The caption model describes the image content which CLiP then enriches with style and flavor terms.","ui":"caption"},
|
||
{"id":"","label":"clip: max length","localized":"Max Length","hint":"Maximum number of tokens in the generated caption.<br>Higher values allow longer, more descriptive captions; lower values produce shorter ones.","ui":"caption"},
|
||
{"id":"","label":"clip: chunk size","localized":"Chunk Size","hint":"Batch size for processing description candidates (flavors).<br>Higher values speed up interrogation but increase VRAM usage.","ui":"caption"},
|
||
{"id":"","label":"clip: min flavors","localized":"Min Flavors","hint":"Minimum number of descriptive tags (flavors) to keep in the final prompt.","ui":"caption"},
|
||
{"id":"","label":"clip: max flavors","localized":"Max Flavors","hint":"Maximum number of descriptive tags (flavors) to keep in the final prompt.","ui":"caption"},
|
||
{"id":"","label":"clip: intermediates","localized":"Intermediates","hint":"Size of the intermediate candidate pool when matching image features to descriptive tags (flavors).<br>From this pool, the final tags are selected based on Min/Max Flavors. Higher values may improve quality but are slower.","ui":"caption"},
|
||
{"id":"","label":"clip: num beams","localized":"CLiP Num Beams","hint":"Number of beams for beam search during caption generation.<br>Higher values search more possibilities but are slower.<br><br>Set to 1 to disable beam search.","ui":"caption"},
|
||
{"id":"","label":"Character threshold","localized":"","hint":"Confidence threshold for character-specific tags (e.g., character names, specific traits).<br>Only tags with confidence above this threshold are included.<br>Higher values are more selective, lower values include more potential matches.<br>Not supported by DeepBooru models.","ui":"caption"},
|
||
{"id":"","label":"Cross-attention","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"cpu","localized":"","hint":"Uses cpu and RAM only: slowest but least likely to OOM","ui":"settings_sd"},
|
||
{"id":"","label":"Cached models","localized":"","hint":"The number of models to store in RAM for quick access","ui":"settings_sd"},
|
||
{"id":"","label":"combined","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Compress ratio","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"compel","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Channels last","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"cuDNN full-depth benchmark","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"cuDNN benchmark limit","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"cudaMallocAsync","localized":"","hint":"Uses CUDA async memory allocator. Improves performance and VRAM fragmentation, but may cause instability on some GPUs.","ui":"settings_backends"},
|
||
{"id":"","label":"CLiP skip enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache-DiT enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache-DiT F-compute blocks","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache-DiT B-compute blocks","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache-DiT residual diff threshold","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Cache-DiT warmup steps","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"CFG-Zero enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"CFG-Zero star","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"CFG-Zero steps","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"cudagraphs","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Cleanup temporary folder on startup","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Create ZIP archive for multiple images","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"cover","localized":"","hint":"cover full area","ui":"settings_ui"},
|
||
{"id":"","label":"Compact view","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"CivitAI token","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"CivitAI save to subfolders","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"CivitAI subfolder template","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"CivitAI discard downloads with hash mismatch","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"Cache text encoder results","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"contain","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Comma separator","localized":"","hint":"Automatically insert a comma between tags when accepting an autocomplete suggestion.<br>Disable for natural-language prompts where commas are not used as delimiters.","ui":"script_autocomplete"},
|
||
{"id":"","label":"Ctrl+up/down word delimiters","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Ctrl+up/down precision when editing (attention:1.1)","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Ctrl+up/down precision when editing <extra networks:0.9>","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Cached VAEs","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"ckpt","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Comma separated list with optional strength per LoRA","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Custom pipeline","localized":"","hint":"","ui":"models_huggingface_tab"},
|
||
{"id":"","label":"Custom model","localized":"","hint":"","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"ControlNet unit 1","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet unit 2","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet unit 3","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet unit 4","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet-XS unit 1","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet-XS unit 2","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet-XS unit 3","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"ControlNet-XS unit 4","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control-LLLite unit 1","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control-LLLite unit 2","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control-LLLite unit 3","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control-LLLite unit 4","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Control settings","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Canny","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Condition","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Caption: Advanced Options","localized":"","hint":"Advanced configuration options for caption generation.<br>Sampling parameters, length limits, and decoding behavior for the active backend (VLM, CLiP, or Tagger).","ui":"caption"},
|
||
{"id":"","label":"Caption: Batch","localized":"","hint":"Process multiple images in a batch using the active caption backend.<br>Captions are saved alongside the source images as .txt sidecar files when Save Caption Files is enabled.","ui":"caption"},
|
||
{"id":"","label":"Control elements","localized":"","hint":"Control elements are advanced models that can guide generation towards desired outcome","ui":"tab_control"}
|
||
],
|
||
"d": [
|
||
{"id":"","label":"Docs","localized":"","hint":""},
|
||
{"id":"","label":"Discord","localized":"","hint":""},
|
||
{"id":"txt2img_detail","label":"Detail","localized":"","hint":"Detailer runs additional generate at higher resolution for a detected objects","ui":"txt2img"},
|
||
{"id":"","label":"Delete","localized":"","hint":"Delete image","ui":"txt2img"},
|
||
{"id":"","label":"Default","localized":"","hint":"","ui":"caption"},
|
||
{"id":"ui_update_apply","label":"Download updates","localized":"","hint":"","ui":"tab_update"},
|
||
{"id":"civitai_download_btn","label":"Download model","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"Diffusers","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"","label":"Distilled","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"","label":"Description","localized":"","hint":""},
|
||
{"id":"txt2img_extra_details_btn","label":"Details","localized":"","hint":"","ui":"tab_txt2img"},
|
||
{"id":"","label":"Detailer","localized":"","hint":"Detailer runs additional generate at higher resolution for a detected objects","ui":"txt2img"},
|
||
{"id":"","label":"Denoise","localized":"","hint":"Denoising settings. Higher denoise means that more of existing image content is allowed to change during generate","ui":"img2img"},
|
||
{"id":"","label":"DirectML","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"Download model from huggingface","localized":"","hint":"","ui":"models_huggingface_tab"},
|
||
{"id":"","label":"Dropdown","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"dynamic","localized":"","hint":"Dynamic shifting automatically adjusts the denoising schedule based on your image resolution.<br><br>The scheduler interpolates between base_shift and max_shift based on actual image resolution.<br><br>Enabling disables static Flow shift.","ui":"txt2img"},
|
||
{"id":"","label":"Detailer models","localized":"","hint":"<i>YOLO</i> detection models used to find regions to re-render. Multiple models can be selected and they run in sequence.<br>Models live in <code>models/yolo</code>. Filename hints at target: face-* detects faces, eyes-* detects eyes, hand-* detects hands, person-* detects whole subjects, and so on.<br>Models with <code>-seg</code> in the name produce a precise segmentation outline (used when <b><i>Use segmentation</i></b> is on); the rest produce only bounding boxes.<br><br>Per-model overrides can be appended with colon syntax, for example <code>face-yolo8n:conf=0.5:strength=0.4</code>.","ui":"txt2img"},
|
||
{"id":"","label":"Detailer list","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Detailer classes or instructions","localized":"","hint":"When using standard single-mode model, this field is ignored<br>When using multi-class model such as YOLO, this field should include comma-separated list of class names to keep or leave blank to detect all known classes<br>When using VL model such as Qwen, this field should contain human readable instructions on what to detect","ui":"txt2img"},
|
||
{"id":"","label":"Detailer prompt","localized":"","hint":"Optional dedicated prompt for the detailer pass.<br>Leave empty to inherit the main prompt. Useful for steering the inpaint differently from the rest of the image: a face detailer can use just <code>portrait, sharp eyes, detailed skin</code> while the main prompt covers the full scene.<br><br>The placeholder <code>[PROMPT]</code> (or <code>[prompt]</code>) is replaced with the original main prompt, so you can append to it: <code>[PROMPT], detailed face</code>.","ui":"txt2img"},
|
||
{"id":"","label":"Detailer negative prompt","localized":"","hint":"Optional dedicated negative prompt for the detailer pass.<br>Leave empty to inherit the main negative prompt. Same <code>[PROMPT]</code> / <code>[prompt]</code> placeholder behavior as the positive detailer prompt: it expands to the original main negative prompt.","ui":"txt2img"},
|
||
{"id":"","label":"Detailer steps","localized":"","hint":"Number of sampling steps used for each detailer inpaint pass.<br>Independent of the main generation steps. Higher values give cleaner detail but cost more time per detected region.<br><br>Set to <b>0</b> to inherit the main generation step count.<br>Default 10.","ui":"txt2img"},
|
||
{"id":"","label":"Detailer strength","localized":"","hint":"Denoising strength of the detailer inpaint pass.<br>Higher values regenerate more aggressively (more change to the detected region, more reliance on the prompt). Lower values stay closer to the original detection, only refining detail.<br>Typical range 0.2 to 0.5: enough to fix distortions without losing identity. Above 0.7 the face/object can drift noticeably from the original.<br><br>Set to <b>0</b> to skip the detailer pass entirely.<br>Default 0.30.","ui":"txt2img"},
|
||
{"id":"","label":"Detailer resolution","localized":"","hint":"Working resolution for the detailer inpaint pass. Each detected region is cropped (with <b><i>Edge padding</i></b>) and resized to this resolution before inpainting.<br>Higher values give finer detail in the regenerated region but use more VRAM and time per detection. Match the model's native resolution for best results: 1024 for <i>SDXL</i>/<i>SD3</i>/<i>Flux</i>, 512 for <i>SD 1.5</i>.<br><br>Default 1024.","ui":"txt2img"},
|
||
{"id":"","label":"Denoising batch size","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"Dilate tau","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"Draw legend","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Denoising strength","localized":"","hint":"Strength of img2img modification when an init image is supplied.<br>Higher values move further from the init image and rely more on the prompt; lower values stay closer to the original.<br><br>At <b>0.0</b> the init image passes through unchanged.<br>At <b>1.0</b> the model builds a fresh image from scratch and effectively ignores the init image.<br><br>Effect on step count is model-dependent:<br>- <b>SD 1.5 and SDXL</b>: the configured Steps value is honored as the actual loop count; strength only controls how much noise is added to the init latent.<br>- <b>Flux, SD3, Hunyuan, Sana, Qwen and other DiT models</b>: loop count is reduced proportionally; with strength 0.5 and 30 steps, only ~15 actually run.<br><br>In the <b><i>Images</i></b> tab this only takes effect when <b><i>Use init image</i></b> is set to one of the init modes; with <b>No: Control only</b> it is ignored.<br>Default 0.30.","ui":"img2img"},
|
||
{"id":"","label":"Denoise start","localized":"","hint":"Override denoise strength by stating how early base model should finish and when refiner should start. Only applicable to refiner usage. If set to 0 or 1, denoising strength will be used","ui":"img2img"},
|
||
{"id":"","label":"down","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Decode chunks","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Dilate","localized":"","hint":"Expands the masked area outward by growing each masked pixel into its neighborhood.<br>Useful for catching the edges around an object that the mask missed, or for giving the model more breathing room around the region being modified so the new content can blend with surrounding context.<br>Kernel size scales with image size: at value 0.05 on a 1024px image the dilation reaches roughly 13 pixels in each direction.<br><br>Set to 0 to disable.<br>Default 0.","ui":"control"},
|
||
{"id":"","label":"Depth and normal","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Distance threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Depth threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Denoising steps","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Depth map","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Dynamic shift","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Duration","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Device Info","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Diffusers load using Run:ai streamer","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Disable accelerate","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Disable T5 text encoder","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Dynamic loss threshold","localized":"","hint":"Target per-layer quantization error (normalized MSE) for dynamic quantization. Each layer starts at the base <b><i>Quantization type</i></b> and steps up to higher precision until its error falls at or below this value.<br>Lower values keep more layers at higher precision for a larger, more accurate model; higher values let more layers stay at the base type for a smaller one.<br><br>Only takes effect when <b><i>Use Dynamic quantization</i></b> is enabled.<br><br><b>-1</b> auto-selects a threshold from the base type, about <b>1e-4</b> for 8-bit or <b>1e-2</b> for 4-bit.<br><b>0</b> accepts only layers that quantize losslessly, which on a normal model leaves almost everything at full precision.<br><br>Default is <b>-1</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Dequantize using torch.compile","localized":"","hint":"Compiles the dequantization step with <i>torch.compile</i> for faster inference. Requires <i>Triton</i>.<br><br>Changing this needs a full restart to take effect.<br><br>Enabled by default when Triton is available.","reload":"server","ui":"settings_quantization"},
|
||
{"id":"","label":"Dequantize using full precision","localized":"","hint":"Uses <b>FP32</b> for the dequantization step for better numerical accuracy, at a small speed cost.<br><br>Enabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Disabled","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Dynamic attention","localized":"","hint":"Adjusts attention computation dynamically per step. Saves VRAM but slows generation.","ui":"settings_cuda"},
|
||
{"id":"","label":"Dynamic Attention slicing rate","localized":"","hint":"Target size in GB for each attention slice once <b>Dynamic attention</b> starts slicing. Smaller slices hold the peak lower and add more per-slice overhead.<br>Slicing is applied across the batch first, then across attention heads, then across query tokens, going a level deeper whenever the level above is still over target.<br><br>Applies while <b>Dynamic attention</b> is enabled in <b><i>SDP overrides</i></b>.<br>Default 0.5.","ui":"settings_cuda"},
|
||
{"id":"","label":"Dynamic Attention trigger rate","localized":"","hint":"Estimated attention matrix size in GB above which <b>Dynamic attention</b> begins slicing. Below it the call runs in one pass.<br>The estimate is batch x heads x query length x key length x bytes per element, so it grows with the square of the sequence length and crosses the threshold at high resolution or on video long before it does anywhere else.<br><br>Applies while <b>Dynamic attention</b> is enabled in <b><i>SDP overrides</i></b>.<br>Default 1.","ui":"settings_cuda"},
|
||
{"id":"","label":"Deterministic mode","localized":"","hint":"Forces deterministic output across runs. Useful for reproducibility, but may disable some optimizations.","ui":"settings_backends"},
|
||
{"id":"","label":"DirectML retry ops for NaN","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"deep-cache","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"DeepCache cache interval","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Directory for temporary images; leave empty for default","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Do not display video output in UI","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Directory name pattern","localized":"","hint":"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg],[prompt_hash], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Dark","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Disabled UI tabs","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Disable variable aspect ratio","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Desktop","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Downscale high resolution live previews","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"Detailer use model augment","localized":"","hint":"Run detailer detection models at extra precision","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Default strength","localized":"","hint":"When adding extra network such as Lora to prompt, use this multiplier for it","ui":"settings_lora"},
|
||
{"id":"","label":"Do not change selected model when reading generation parameters","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Do conditional and unconditional denoising in one batch","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Disable NaN check","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Disallow models in ckpt format","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Default upscaler for image resize operations","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Debug info","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Download folder","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"DWPose","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Depth Anything","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Depth Pro","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Decode","localized":"","hint":"","ui":"video"}
|
||
],
|
||
"e": [
|
||
{"id":"component-883","label":"Enhance prompt","localized":"","hint":"","ui":"script_flux_prompt_enhance_(legacy)"},
|
||
{"id":"prompt_enhance_apply","label":"Enhance now","localized":"","hint":"Run prompt enhancement using the selected LLM model","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Extras","localized":"","hint":"Additional functionality that can be enabled during generate"},
|
||
{"id":"btn_extensions","label":"Extensions","localized":"","hint":"Application extensions"},
|
||
{"id":"","label":"Extract LoRA","localized":"","hint":""},
|
||
{"id":"","label":"Embedded metadata","localized":"","hint":""},
|
||
{"id":"","label":"Extension list","localized":"","hint":"","ui":"component-8724"},
|
||
{"id":"","label":"Execution Precision","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Embeddings","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Extract currently loaded LoRA(s)","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Effects","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Enable LayerSkipConfig","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Enable refine pass","localized":"","hint":"Use a similar process as image to image to upscale and/or add detail to the final image. Optionally uses refiner model to enhance image details.","ui":"txt2img"},
|
||
{"id":"","label":"Enable detailer pass","localized":"","hint":"Runs an automatic touch-up pass: a <i>YOLO</i> detector finds target regions (faces, eyes, hands, persons, etc.) and each detected region is re-rendered with inpaint at the configured detailer resolution, using the selected <b>Base model</b>.<br>Runs after generation in the image tabs, or standalone on the input image in the <b>Process</b> tab.<br>Useful for fixing distorted faces or hands at low base resolutions, sharpening eye detail, or adding a second-pass refinement to specific subjects.<br><br>Default off.","ui":"txt2img"},
|
||
{"id":"","label":"Edge padding","localized":"","hint":"Pixels added around each detection's bounding box when cropping the region for inpaint.<br>Padding gives the inpaint pass surrounding context so the regenerated content can blend smoothly with the rest of the image. Too little causes hard seams; too much wastes resolution on areas that won't change.<br><br>Default 20.","ui":"txt2img"},
|
||
{"id":"","label":"Edge blur","localized":"","hint":"Pixel radius of the Gaussian blur applied to the inpaint mask edge.<br>Softens the boundary between the regenerated region and the rest of the image so the paste-back blends instead of cutting hard.<br><br>Set to 0 to disable.<br>Default 10.","ui":"txt2img"},
|
||
{"id":"","label":"End","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"ETA","localized":"","hint":"","ui":"script_apg"},
|
||
{"id":"","label":"Enable FreeU","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Enable tonemap","localized":"","hint":"","ui":"script_hdr"},
|
||
{"id":"","label":"Enabled","localized":"","hint":"","ui":"script_kohya_hires_fix"},
|
||
{"id":"","label":"Encoder","localized":"","hint":"","ui":"script_mulan"},
|
||
{"id":"","label":"Enhanced prompt","localized":"","hint":"The enhanced prompt output from the LLM","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Edit start","localized":"","hint":"","ui":"script_ledits"},
|
||
{"id":"","label":"Edit stop","localized":"","hint":"","ui":"script_ledits"},
|
||
{"id":"","label":"Erode","localized":"","hint":"Shrinks the masked area inward by removing pixels along the edge.<br>Useful for cleaning up speckle noise from auto-segmentation, or for pulling the mask back from object boundaries to avoid the model bleeding outside the intended region.<br>Kernel size scales with image size: at value 0.05 on a 1024px image the erosion reaches roughly 13 pixels in each direction.<br><br>Set to 0 to disable.<br>Default 0.","ui":"control"},
|
||
{"id":"","label":"edge","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Ensemble size","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Enable","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Erode size","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Enable PixelArt","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Enable edge detection","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Edge block size","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Edge image weight","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Escape brackets","localized":"","hint":"Escape parentheses and brackets in tags with backslashes.<br>Required when tags contain characters that have special meaning in prompt syntax, such as ( ) [ ].<br>Enable this when using the output directly in prompts.","ui":"caption"},
|
||
{"id":"","label":"Exclude tags","localized":"","hint":"Comma-separated list of tags to exclude from the output.<br>Useful for filtering out unwanted or redundant tags that appear frequently.","ui":"caption"},
|
||
{"id":"","label":"Extension GIT repository URL","localized":"","hint":"Specify extension repository URL on GitHub","ui":"component-8746"},
|
||
{"id":"","label":"ExecutionProvider.CPU","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"","label":"ExecutionProvider.DirectML","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"","label":"ExecutionProvider.CUDA","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"","label":"ExecutionProvider.ROCm","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"","label":"ExecutionProvider.MIGraphX","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"","label":"ExecutionProvider.OpenVINO","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"","label":"Enable modular pipelines (experimental)","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Expandable segments","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"Enable use of reference models","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Enable embeddings support","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Enable file wildcards support","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Extra noise multiplier for img2img","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Embeddings train templates directory","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Enable Hypernetwork support","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Embedding similarity","localized":"","hint":"When words to process are present, the model will search for words with similar meaning and match them as well. Higher values make the filter more strict, requiring a closer match between words. Lower values allow more leniency. Default is disabled.","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Enable embedding similarity","localized":"","hint":"When enabled, the model will attempt to match the style and content of the input image by comparing its embeddings to those of the generated image. This can help maintain consistency in style and content across generations.","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Enable tensorboard logging","localized":"","hint":"","ui":"settings_legacy_options"}
|
||
],
|
||
"f": [
|
||
{"id":"","label":"Fixed","localized":"","hint":"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio","ui":"txt2img"},
|
||
{"id":"","label":"Folder","localized":"","hint":"","ui":"control"},
|
||
{"id":"video_params_framepack","label":"FramePack","localized":"","hint":"","ui":"video"},
|
||
{"id":"video_frames","label":"Frames","localized":"","hint":"Number of frames to generate<br>Values are aligned to the frame grid of the selected model<br>On MiniMax H3, a value of 1 generates a single still image (experimental)","ui":"video"},
|
||
{"id":"","label":"Fallback guidance","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"FreeU","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Faster Cache","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Folders","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Fetch model preview metadata","localized":"","hint":"","ui":"models_metadata_tab"},
|
||
{"id":"","label":"Flow shift","localized":"","hint":"Shift value for flowmatching models. Controls the distribution of denoising steps.<br><br>Values:<br>- <b>>1.0</b>: allocate more steps to early denoising (better structure)<br>- <b><1.0</b>: allocate more steps to late denoising (better fine details)<br>- <b>1.0</b>: balanced schedule<br><br>Most flowmatching models use the value of 3 as default. Effectively inactive if dynamic shift is enabled.","ui":"txt2img"},
|
||
{"id":"","label":"FDG scales","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"FDG weights","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"FDG rescale space","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Force HiRes","localized":"","hint":"Hires runs automatically when Latent upscale is selected, but its skipped when using non-latent upscalers. Enable force hires to run hires with non-latent upscalers","ui":"txt2img"},
|
||
{"id":"","label":"FreeU preset","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"FaceID Model","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Final strength","localized":"","hint":"","ui":"script_loopback"},
|
||
{"id":"","label":"full","localized":"","hint":"Always use full precision","ui":"img2img"},
|
||
{"id":"","label":"Fall-off exponent (lower=higher detail)","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Fill strength","localized":"","hint":"","ui":"script_softfill"},
|
||
{"id":"","label":"Face","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Face confidence","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"FP model variant","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP resolution","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP duration","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP target FPS","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP interpolation","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP init strength","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP end strength","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP vision strength","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP section prompts","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP latent window size","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP steps","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP sampler shift","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP CFG scale","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP distilled CFG scale","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP CFG re-scale","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP system prompt","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP model receipe","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP enable TeaCache","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP use optimized system prompt","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP enable CFGZero","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP enable Preview","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP attention","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FP VAE","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"FPS","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Foreground threshold","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Foreign-term translations","localized":"","hint":"Resolve foreign-language tag names to canonical English tags in the autocomplete dropdown.<br>Currently shipped for <i>danbooru</i> (Japanese) and <i>sankaku</i> (Japanese, Korean, Chinese, German, French, Italian, Portuguese, Russian, Spanish).<br><br>Enable if you prompt in non-English languages or want to look up tags by their foreign equivalent.<br>Disabled by default.","ui":"script_autocomplete"},
|
||
{"id":"","label":"Frame change sensitivity","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Filename","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Force model eval","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"false","localized":"","hint":"","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"Full precision (--no-half-vae)","localized":"","hint":"Uses FP32 for the VAE. May produce better results while using more VRAM and slower generation","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"FP32","localized":"","hint":"Use 32-bit floating point precision for calculations","ui":"settings_cuda"},
|
||
{"id":"","label":"FP16","localized":"","hint":"Use 16-bit floating point precision for calculations","ui":"settings_cuda"},
|
||
{"id":"","label":"Force full precision (--no-half)","localized":"","hint":"Uses FP32 for the model. May produce better results while using more VRAM and slower generation","ui":"settings_cuda"},
|
||
{"id":"","label":"Flash","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Flex attention","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Flash attention","localized":"","hint":"Highly optimized attention algorithm. Greatly reduces VRAM use and speeds up inference, but can be non-deterministic.","ui":"settings_cuda"},
|
||
{"id":"","label":"Fused projections","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"FreeU enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FreeU 1st stage backbone","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FreeU 2nd stage backbone","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FreeU 1st stage skip","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FreeU 2nd stage skip","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FoCa","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache cache enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache spacial skip range","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache spacial skip start","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache spacial skip end","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache uncond skip range","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache uncond skip start","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache uncond skip end","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"FasterCache guidance distilled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"fullgraph","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Folder with stable diffusion models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with Huggingface models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder for Huggingface cache","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder for Tunable ops cache","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with VAE files","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with UNET files","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with Text encoder files","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with LoRA network(s)","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"File or Folder with user-defined styles","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with user-defined wildcards","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with textual inversion embeddings","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with Control models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with Yolo models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with ESRGAN models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with BSRGAN models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with RealESRGAN models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with SCUNet models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with SwinIR models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with CLIP models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder for disk offload","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder for OpenVINO cache","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder for ONNX cached models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder for ONNX conversion","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Folder with chaiNNer models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"File format","localized":"","hint":"Select file format for images","ui":"settings_saving-images"},
|
||
{"id":"","label":"Font file","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Font color","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Folder for text generate","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for image generate","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for control generate","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for processed images","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for manually saved images","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for videos","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for init images","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for txt2img grids","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for img2img grids","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Folder for control grids","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Font size","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Full VAE","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"Force offline mode","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"Fixed UNet precision","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Filename join string","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Filename word regex","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Force zeros for prompts when empty","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"fill","localized":"","hint":"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors","ui":"settings_legacy_options"},
|
||
{"id":"","label":"For image processing do exact number of steps as specified","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Folder with LyCORIS network(s)","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Fuse strength","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"FreeInit","localized":"","hint":"","ui":"script_video"}
|
||
],
|
||
"g": [
|
||
{"id":"gallery_nav","label":"Gallery","localized":"","hint":"Image gallery"},
|
||
{"id":"","label":"GitHub","localized":"","hint":""},
|
||
{"id":"txt2img_guidance","label":"Guidance","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"GenerateGenerate","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"control_loop","label":"Generate forever","localized":"","hint":"Start processing and continue until cancelled","ui":"control"},
|
||
{"id":"video_generate_btn","label":"Generate","localized":"","hint":"Start processing","ui":"video"},
|
||
{"id":"framepack_btn_get_model","label":"Get receipe","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"GPU Monitor","localized":"","hint":""},
|
||
{"id":"get_changelog","label":"Get Changelog","localized":"","hint":"","ui":"system_tab_changelog"},
|
||
{"id":"","label":"Generic","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Google GenAI","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Group Offload","localized":"","hint":"Offloads components in groups of layers rather than as a whole, so only the layers in use occupy VRAM.<br>Lets a single component larger than the card run, at the cost of transferring weights throughout every step.<br><br>Applies only when <b><i>Model offload mode</i></b> is <b>group</b>.","ui":"settings_offload"},
|
||
{"id":"","label":"Group offload type","localized":"","hint":"Granularity used by <b>group</b> offload.<br>- <b>leaf_level</b>: offloads at the smallest module level; maximum memory savings, slower<br>- <b>block_level</b>: offloads groups of transformer blocks (size set by <b><i>Group offload blocks</i></b>, one block when <b><i>Prefetch with streams</i></b> is enabled); faster with less savings<br>This setting applies to the parts of the model that run at every step. Components used once per generation, such as text encoders, always offload at <b>leaf_level</b>. The VAE is handled separately: it waits in system memory and loads as a whole when encoding or decoding.<br>Anything named in <b><i>Modules to never offload</i></b> or <b><i>Model types not to offload</i></b> stays in VRAM instead.<br><br>Applies only when <b><i>Model offload mode</i></b> is <b>group</b>.<br><br>Default is <b>leaf_level</b>.","ui":"settings_offload"},
|
||
{"id":"","label":"Group offload blocks","localized":"","hint":"Number of transformer blocks moved together as one group on <b>block_level</b> group offload. Larger groups mean fewer, larger transfers and more weights resident in VRAM at once.<br>Ignored when <b><i>Prefetch with streams</i></b> is enabled, which runs one block per group, and on <b>leaf_level</b>, which has no blocks. Components used once per generation always offload at <b>leaf_level</b> and never read this value.<br><br>Applies only when <b><i>Model offload mode</i></b> is <b>group</b>.<br><br>Default is <b>1</b>.","ui":"settings_offload"},
|
||
{"id":"","label":"Grid Options","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Grids","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Guider","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Guidance scale","localized":"","hint":"Classifier-Free Guidance scale. How strongly the image should conform to the prompt. Lower values produce more creative, loosely-prompted results; higher values follow the prompt more strictly but can oversaturate or burn out at very high values.<br><br>Recommended values vary by architecture: 5-10 for <i>SDXL</i>/<i>SD1.x</i>, 3-5 for <i>Flux</i> and <i>SD3</i>, 7-10 for video models. Check the model card if unsure.<br><br>Set to 1 (the slider's minimum) to disable guidance entirely. The model then runs only the conditional prediction with no negative-prompt steering.","ui":"txt2img"},
|
||
{"id":"","label":"Guidance end","localized":"","hint":"Ends guidance early. The remaining denoising steps run unguided, which can speed up inference and produce slightly softer, less prompt-locked results. Applied independently to each pipeline pass (base, HiRes, refiner) against that pass's own step count.<br>Example: 0.5 stops guidance at 50% of steps; 0.8 stops at 80%.<br><br>Affects <b><i>Guidance scale</i></b> and <b><i>Refine guidance</i></b> on all models, and <b><i>Attention guidance</i></b> on the PAG path only (<i>SD 1.5</i> and <i>SDXL</i>). Has no effect on the true_cfg_scale path that <b><i>Attention guidance</i></b> uses for <i>Flux</i>, <i>QwenImage</i>, <i>HiDream</i>, <i>Hunyuan Video</i>, and other flow-matching models.<br><br>Set to 1 to keep guidance active for the entire denoising process.<br>1 (no early end) by default.","ui":"txt2img"},
|
||
{"id":"","label":"Guidance rescale","localized":"","hint":"Rescales the guided noise prediction to avoid the oversaturated, washed-out colors that high Guidance scale values can produce.<br>Useful when running with Guidance scale above 10 or when colors look blown out. Mild values (0.5-0.7) usually fix the issue without affecting prompt adherence.<br><br>Set to 0 to disable rescaling.<br>Disabled by default.","ui":"txt2img"},
|
||
{"id":"","label":"Gamma","localized":"","hint":"Non-linear brightness curve adjustment.<br>Values below 1.0 brighten midtones and shadows while preserving highlights.<br>Values above 1.0 darken midtones and shadows.<br><br>Default is 1.0 (no change). Unlike brightness, gamma reshapes the tonal curve rather than shifting it uniformly.","ui":"txt2img"},
|
||
{"id":"","label":"Grain","localized":"","hint":"Adds film-like noise to the image.<br>Higher values produce more visible grain, simulating analog film texture.<br><br>Applied as random noise blended into the final image. Set to 0 to disable.","ui":"txt2img"},
|
||
{"id":"","label":"Grid margins","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"Grid sections","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"Guidance strength","localized":"","hint":"","ui":"script_slg"},
|
||
{"id":"","label":"Guidance start","localized":"","hint":"","ui":"script_slg"},
|
||
{"id":"","label":"Guidance stop","localized":"","hint":"","ui":"script_slg"},
|
||
{"id":"","label":"Gate step","localized":"","hint":"","ui":"script_t-gate"},
|
||
{"id":"","label":"Guess mode","localized":"","hint":"Removes the requirement to supply a prompt to a <i>ControlNet</i>. It forces <i>ControlNet</i> encoder to do its 'best guess' based on the contents of the input control map.","ui":"control"},
|
||
{"id":"","label":"gradient","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Gamma corrected","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"General threshold","localized":"","hint":"Confidence threshold for general tags (e.g., objects, actions, settings).<br>Only tags with confidence above this threshold are included in the output.<br>Higher values are more selective (fewer tags), lower values include more tags.","ui":"caption"},
|
||
{"id":"","label":"GPU","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Google cloud use VertexAI endpoints","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Google cloud API key","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Google Cloud project ID","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Google Cloud location ID","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"group","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Group size","localized":"","hint":"Number of weight elements that share one quantization scale. Smaller groups improve accuracy at a small size and speed cost; larger groups are leaner but coarser.<br><br><b>0</b> auto-selects a group size from the <b><i>Quantization type</i></b>; when <b><i>Quantized MatMul type</i></b> is not <b>disabled</b> and weights are 6-bit or wider, it falls back to one scale per row. <b>-1</b> uses one scale per row (no grouping).<br><br>Default is <b>0</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"GC threshold","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"Grid max rows count","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Grid max columns count","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Grid background color","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Gallery auto-update on tab change","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"GPU monitor interval","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Gallery view columns","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Grid image size","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Global","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"h": [
|
||
{"id":"btn_history","label":"History","localized":"","hint":"List of previous generations that can be further reprocessed"},
|
||
{"id":"docs_md_btn","label":"html2md","localized":"","hint":"","ui":"system_tab_docs"},
|
||
{"id":"","label":"Huggingface","localized":"","hint":"Settings related huggingface access"},
|
||
{"id":"","label":"HiDream","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"HyperTile","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hadamard group size","localized":"","hint":"Number of elements that share one Hadamard rotation group when <b><i>Use Hadamard rotations</i></b> is enabled.<br><br>Applies only when <b><i>Use Hadamard rotations</i></b> is enabled.<br><br>Default is <b>128</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"HiDiffusion","localized":"","hint":"HiDiffusion allows creation of high-resolution images using your standard models without duplicates/distortions and improved performance","ui":"settings_advanced"},
|
||
{"id":"","label":"Height","localized":"","hint":"Target height of the output image in pixels.<br>For generation, this sets the resolution the model produces. For resize and upscale operations, this is the height the input is fitted to.<br><br>Should be a multiple of 8 for <i>SD1.x</i> and <i>SDXL</i> latents; newer architectures (<i>Flux</i>, <i>SD3</i>, video models) may require higher multiples (16, 32, or 64). Values that don't match are automatically floored to the nearest valid multiple for the loaded model.","ui":"txt2img"},
|
||
{"id":"","label":"HiRes steps","localized":"","hint":"Number of sampling steps for upscaled picture. If 0, uses same as for original","ui":"txt2img"},
|
||
{"id":"","label":"Hue","localized":"","hint":"Rotates all colors around the color wheel.<br>Small values produce subtle color shifts, while higher values cycle through the full spectrum.<br><br>Useful for creative color effects or correcting unwanted color casts.","ui":"txt2img"},
|
||
{"id":"","label":"Highlights","localized":"","hint":"Adjusts the brightness of highlight (bright) regions.<br>Positive values brighten highlights, negative values pull them down.<br><br>Operates on the L channel in Lab color space using a luminance-weighted mask, leaving shadows and midtones largely unaffected.","ui":"txt2img"},
|
||
{"id":"","label":"Highlights tint","localized":"","hint":"Color to blend into highlight regions for split toning.<br>Works together with Shadows tint and Split tone balance to create cinematic color grading looks.<br><br>Default white (#ffffff) applies no tint.","ui":"txt2img"},
|
||
{"id":"","label":"HDR range","localized":"","hint":"","ui":"script_hdr"},
|
||
{"id":"","label":"HQ init latents","localized":"","hint":"","ui":"script_instantir"},
|
||
{"id":"","label":"Height after","localized":"","hint":"Target height of the <b>output</b> image in pixels, applied <b>after</b> the model finishes generating (Post sub-tab in the Size accordion). Use this to upscale or downscale the final image before saving.<br><br>Should be a multiple of 8 for <i>SD1.x</i> and <i>SDXL</i> latents; newer architectures (<i>Flux</i>, <i>SD3</i>, video models) may require higher multiples (16, 32, or 64). Values that don't match are automatically floored to the nearest valid multiple for the loaded model.","ui":"control"},
|
||
{"id":"","label":"Height mask","localized":"","hint":"Target height of the input <b>mask</b> image in pixels (Mask sub-tab in the Size accordion). The mask is used for inpainting, outpainting, or as a control mask, and is resized so it aligns with the processing resolution.<br><br>Should be a multiple of 8 for <i>SD1.x</i> and <i>SDXL</i> latents; newer architectures (<i>Flux</i>, <i>SD3</i>, video models) may require higher multiples (16, 32, or 64). Values that don't match are automatically floored to the nearest valid multiple for the loaded model.","ui":"control"},
|
||
{"id":"","label":"Hires use control","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Hands","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"High threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"high noise","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Hypertile UNet Enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile HiRes pass only","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile UNet max tile size","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile UNet min tile size","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile UNet swap size","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile UNet depth","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile VAE Enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile VAE tile size","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Hypertile VAE swap size","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"HiDiffusion apply RAU-Net","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"HiDiffusion apply MSW-MSA","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"HiDiffusion aggressive at step","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"HiDiffusion override T1 ratio","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"HiDiffusion override T2 ratio","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"hidet","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Hide legacy tabs","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Hide input range sliders","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Hide params headers","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"histogram","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"HuggingFace token","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"HuggingFace mirror","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"HED","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"i": [
|
||
{"id":"control_nav","label":"Images","localized":"","hint":"Create images<br>Unified interface<br>Supports T2I and I2I<br>With optional control guidance"},
|
||
{"id":"img2img_nav","label":"I2I","localized":"","hint":"Create image from image<br>Legacy interface that mimics original image-to-image interface and behavior"},
|
||
{"id":"","label":"Image","localized":"","hint":"Create image from image","ui":"img2img"},
|
||
{"id":"","label":"Inpaint","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"control_params_mask","label":"Inputs","localized":"","hint":"Settings related to Input images","ui":"control"},
|
||
{"id":"","label":"Initial","localized":"","hint":"How the input image is sized before generation. The size set here is the resolution the model generates at, so this is the main size control for the <b><i>Control</i></b> tab.<br>The <b><i>Mode before</i></b> dropdown picks the fit method; the <b>Fixed</b> and <b>Scale</b> tabs set an exact size or a multiplier of the source.<br><br>Larger sizes add detail at higher memory and time cost, and work best at the resolution the model was trained for.","ui":"control"},
|
||
{"id":"btn_info","label":"Info","localized":"","hint":""},
|
||
{"id":"","label":"install","localized":"","hint":"","ui":"component-8724"},
|
||
{"id":"","label":"Image Options","localized":"","hint":"Settings related to image format, metadata, and image grids"},
|
||
{"id":"","label":"Image Paths","localized":"","hint":"Settings related to image filenames, and output directories"},
|
||
{"id":"","label":"Image Metadata","localized":"","hint":"Settings related to handling of metadata that is created with generated images"},
|
||
{"id":"","label":"IP Adapters","localized":"","hint":"IP adapters are plugin models that can guide generation towards desired outcome","ui":"txt2img"},
|
||
{"id":"","label":"Input","localized":"","hint":"Add input image to be used for image-to-image, inpaint or control processing<br>Click to minimize/maximize","ui":"control"},
|
||
{"id":"","label":"Input Image","localized":"","hint":"","ui":"caption"},
|
||
{"id":"","label":"IPEX","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"Image Gallery","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Intermediate Image Saving","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Initial seed","localized":"","hint":"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result","ui":"txt2img"},
|
||
{"id":"","label":"Include detections","localized":"","hint":"Adds an annotated debug image to the output gallery showing each detected region's bounding box, label, and confidence score, plus a translucent mask overlay.<br>Useful for tuning <b><i>Min confidence</i></b>, <b><i>Min size</i></b>/<b><i>Max size</i></b>, and class filters: you can see exactly what was detected before the inpaint pass touched the image.<br><br>Default off.","ui":"txt2img"},
|
||
{"id":"","label":"IY model","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"IY scale","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"IY start","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"IY end","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"Identity guidance","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"Iterate seed per line","localized":"","hint":"","ui":"script_prompts_from_file"},
|
||
{"id":"","label":"Iterations","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Interpolate frames","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Include main grid","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Include sub grids","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Include images","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"invert","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"","label":"Init image same as control","localized":"","hint":"Will additionally treat any image placed into the Control input window as a source for img2img type tasks, an image to modify for example.","ui":"control"},
|
||
{"id":"","label":"Focus mask","localized":"","hint":"Crop the masked region, denoise it at full resolution, then paste the result back into the original image.<br>Best for small detail edits where you want maximum quality on the masked area without spending compute denoising the rest of the image. Detail in unmasked regions stays untouched.<br><br>Tradeoff: the model only sees the cropped region, so it loses global context. The inpainted content may not match the surrounding scene's lighting, perspective, or style, and visible seams can appear at the crop boundary. Mitigate with <b><i>Dilate</i></b> + <b><i>Blur</i></b> on the mask, or disable this option to denoise the full image together.<br>When off, the whole image is denoised at the generation resolution and the unmasked area is restored from the original via the mask blend, which preserves global coherence at the cost of detail in the masked region.<br><br>Default off.","ui":"control"},
|
||
{"id":"","label":"Invert mask","localized":"","hint":"Swaps which area is treated as masked.<br>Useful when you have painted the region to <b>preserve</b> instead of the region to <b>modify</b>: enable this to flip the interpretation without redoing the mask.<br><br>Default off.","ui":"control"},
|
||
{"id":"","label":"IOU","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Init strength","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Input directory","localized":"","hint":"Folder where the images are that you want to process","ui":"extras"},
|
||
{"id":"","label":"Include rating","localized":"","hint":"Include content rating tags in the output (e.g., safe, questionable, explicit).<br>Useful for filtering or categorizing images by their content rating.","ui":"caption"},
|
||
{"id":"","label":"inference-mode","localized":"","hint":"Like no-grad but stricter. Ensures model runs only in inference mode for safety and speed.","ui":"settings_backends"},
|
||
{"id":"","label":"inductor","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Image quality","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Include mask in outputs","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Include invisible watermark","localized":"","hint":"Add invisible watermark to image by altering some pixel values","ui":"settings_saving-images"},
|
||
{"id":"","label":"Invisible watermark string","localized":"","hint":"Watermark string to add to image. Keep very short to avoid image corruption.","ui":"settings_saving-images"},
|
||
{"id":"","label":"Image watermark position","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Image watermark file","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Images filename pattern","localized":"","hint":"Use following tags to define how filenames for images are chosen:<br><pre>seq, uuid<br>date, datetime, job_timestamp<br>generation_number, batch_number<br>model, model_shortname<br>model_hash, model_name<br>sampler, seed, steps, cfg<br>clip_skip, denoising<br>hasprompt, prompt, styles<br>prompt_hash, prompt_no_styles<br>prompt_spaces, prompt_words<br>height, width, image_hash<br></pre>","ui":"settings_saving-paths"},
|
||
{"id":"","label":"inline","localized":"","hint":"inline with all additional elements (scrollable)","ui":"settings_ui"},
|
||
{"id":"","label":"Inpainting include greyscale mask in results","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Inpainting include masked composite in results","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Image transparent color fill","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Inpainting conditioning mask strength","localized":"","hint":"Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked (default). 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Image resize algorithm","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Image repeats per epoch","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Interpolation Method","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"In Blocks","localized":"","hint":"Downsampling Blocks of the UNet (12 values for <i>SD1.5</i>, 9 values for <i>SDXL</i>)","ui":"component-5674"},
|
||
{"id":"","label":"Input model","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Info object","localized":"","hint":"","ui":"component-8779"}
|
||
],
|
||
"k": [
|
||
{"id":"kanvas-change-button","label":"Kanvas change","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Kolors","localized":"","hint":"","ui":"component-106"},
|
||
{"id":"","label":"Kanvas Settings","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Keep Thinking Trace","localized":"","hint":"Include the model's reasoning process in the final output.<br>Useful for understanding how the model arrived at its answer.<br>Only works with models that support thinking mode.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Keep Prefill","localized":"","hint":"Include the prefill text at the beginning of the final output.<br>If disabled, the prefill text used to guide the model is removed from the result.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Keep aspect ratio","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Keep @ on artist insert","localized":"","hint":"Type <code>@</code> in the prompt to filter autocomplete to artist tags only.<br>This setting controls only what gets inserted on accept; the <code>@</code> filter works for every model. Underscore handling is controlled by <b><i>Keep underscores</i></b>.<br><br><b>Enable</b> for models that require the <code>@</code> prefix in the prompt itself, e.g. <i>Anima</i>. Inserts as <code>@artist name</code>.<br><b>Disable</b> for booru-trained models that take plain artist tags, e.g. <i>SDXL</i>, <i>Pony</i>, <i>Illustrious</i>, <i>NoobAI</i>. The typed <code>@</code> is consumed and the artist name is inserted as a normal tag.","ui":"script_autocomplete"},
|
||
{"id":"","label":"Keep underscores","localized":"","hint":"Keep underscore characters when inserting tags from autocomplete. Applies to both ordinary tags and artist insertions (the <code>@</code> trigger).<br>Embedding names always preserve their underscores regardless of this setting.<br><br><b>Enable</b> when your model is sensitive to the underscored form of booru tags. The tag <code>long_hair</code> displays and inserts as <code>long_hair</code>.<br><b>Disable</b> (default) to convert underscores to spaces, matching the prompting style of most modern checkpoints. The tag <code>long_hair</code> displays and inserts as <code>long hair</code>.","ui":"script_autocomplete"}
|
||
],
|
||
"l": [
|
||
{"id":"prompt_enhance_load","label":"Load model","localized":"","hint":"","ui":"script_prompt_enhance"},
|
||
{"id":"prompt_enhance_custom_load","label":"Load custom model","localized":"","hint":"Load a custom model with the specified configuration","ui":"script_prompt_enhance"},
|
||
{"id":"control_mask_remove","label":"LaMa Remove","localized":"","hint":"Removes the masked region using LaMa, a lightweight inpainting model that fills the area with content extrapolated from the surroundings.<br>Useful for cleanup tasks like erasing watermarks, removing unwanted objects, or generating a clean plate before running a full diffusion pass.<br>Runs the configured mask pipeline (auto-segment, dilate, erode, blur, invert) first, then passes the resulting mask to LaMa. Result is written to the output panel.<br><br>Model is downloaded on first use.","ui":"control"},
|
||
{"id":"","label":"Lite","localized":"","hint":"","ui":"control"},
|
||
{"id":"video_params_ltx","label":"LTXVideo","localized":"","hint":"","ui":"video"},
|
||
{"id":"vlm_load","label":"Load","localized":"","hint":"","ui":"caption"},
|
||
{"id":"","label":"Live Previews","localized":"","hint":"Settings related to live previews, audio notification"},
|
||
{"id":"","label":"Legacy options","localized":"","hint":"Settings related to legacy options - should not be used"},
|
||
{"id":"","label":"Legacy","localized":"","hint":"This is a legacy interface that is no longer maintained and will be removed in the future"},
|
||
{"id":"","label":"List","localized":"","hint":"List all available models"},
|
||
{"id":"","label":"Loader","localized":"","hint":"Allows to manually assemble a diffusion model from individual modules"},
|
||
{"id":"component-5602","label":"List models","localized":"","hint":"","ui":"models_list_tab"},
|
||
{"id":"component-5628","label":"Load receipe","localized":"","hint":"","ui":"models_loader_tab"},
|
||
{"id":"","label":"Lora","localized":"","hint":"LoRA: Low-Rank Adaptation. Fine-tuned model that is applied on top of a loaded model"},
|
||
{"id":"","label":"Local","localized":"","hint":"Models that are downlaoded and ready to use","ui":"component-98"},
|
||
{"id":"","label":"LTX","localized":"","hint":"","ui":"tab_video"},
|
||
{"id":"","label":"Latent Corrections","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Layerwise Casting","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"LinFusion","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Log Display","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"List all locally available models","localized":"","hint":"","ui":"models_list_tab"},
|
||
{"id":"","label":"Last Generate","localized":"","hint":""},
|
||
{"id":"","label":"LUT","localized":"","hint":"Look-Up Table color grading section.<br>Upload a .cube LUT file to apply professional color grading presets.<br><br>LUTs remap colors according to a predefined 3D color transform, commonly used in film and photography for consistent color looks.","ui":"txt2img"},
|
||
{"id":"","label":"low order","localized":"","hint":"Forces multistep solvers to fall back to a lower-order step during the last few denoising iterations.<br>Higher-order solvers can become numerically unstable as sigma approaches zero, so the lower-order tail produces a cleaner, more stable final image.<br><br>Applies only to multistep families (<b>DPM++</b>, <b>UniPC</b>, <b>DEIS</b>, <b>SA Solver</b>, <b>DC Solver</b>, <b>ER-SDE</b>). Single-step samplers such as <b>DDIM</b>, <b>Euler</b>, and <b>Euler a</b> ignore this option.<br><br>Recommended to leave on. Disabling can occasionally give slightly sharper output but risks artifacts on the final steps.<br><br>Enabled by default.","ui":"txt2img"},
|
||
{"id":"","label":"LSC layer indices","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LSC fully qualified name","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LSC skip attention blocks","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LSC skip feed-forward blocks","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LSC skip attention scores","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LSC dropout rate","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LUT strength","localized":"","hint":"Controls the intensity of the applied LUT.<br>1.0 applies the LUT at full strength. Values below 1.0 blend toward the original colors, values above 1.0 amplify the effect.<br><br>Only active when a .cube LUT file is loaded.","ui":"txt2img"},
|
||
{"id":"","label":"Latent brightness","localized":"","hint":"Increase or deacrease brightness directly in latent space during generation","ui":"txt2img"},
|
||
{"id":"","label":"Latent sharpen","localized":"","hint":"Increase or decrease sharpness directly in latent space during generation","ui":"txt2img"},
|
||
{"id":"","label":"Latent color","localized":"","hint":"Adjust the color balance directly in latent space during generation","ui":"txt2img"},
|
||
{"id":"","label":"Latent clamp","localized":"","hint":"Adjusts the level of nonsensical details by pruning values that deviate significantly from the distribution mean. It is particularly useful for enhancing generation at higher guidance scales, identifying outliers early in the process and applying mathematical adjustments based on the Range (Boundary) and Threshold settings. Think of it as setting the range within which you want your image values to be, and adjusting the threshold determines which values should be brought back into that range","ui":"txt2img"},
|
||
{"id":"","label":"Latent range","localized":"","hint":"Set the range for latent values during generation","ui":"txt2img"},
|
||
{"id":"","label":"Latent threshold","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Latent maximize","localized":"","hint":"Calculates a 'normalization factor' by dividing the maximum tensor value by the specified range multiplied by 4. This factor is then used to shift the channels within the given boundary, ensuring maximum dynamic range for subsequent processing. The objective is to optimize dynamic range for external applications like Photoshop, particularly for adjusting levels, contrast, and brightness","ui":"txt2img"},
|
||
{"id":"","label":"Latent center","localized":"","hint":"Adjust the center of the latent space during generation","ui":"txt2img"},
|
||
{"id":"","label":"Latent max range","localized":"","hint":"Set the maximum range for latent values during generation","ui":"txt2img"},
|
||
{"id":"","label":"Latent tint","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Layer options","localized":"","hint":"Manually specify IP adapter advanced layer options","ui":"txt2img"},
|
||
{"id":"","label":"Layer scales","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Length","localized":"","hint":"","ui":"script_flux_prompt_enhance_(legacy)"},
|
||
{"id":"","label":"Loops","localized":"","hint":"How many times to process an image. Each output is used as the input of the next loop. If set to 1, behavior will be as if this script were not used","ui":"script_loopback"},
|
||
{"id":"","label":"Level","localized":"","hint":"","ui":"script_style_aligned_image_generation"},
|
||
{"id":"","label":"Latent mode","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Loop video","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"LLM model","localized":"","hint":"Select the language model to use for prompt enhancement.<br><br>Models supporting vision are marked with icon.<br>Models supporting thinking mode are marked with icon.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"LBM Method","localized":"","hint":"","ui":"script_lbm"},
|
||
{"id":"","label":"LBM Composite","localized":"","hint":"","ui":"script_lbm"},
|
||
{"id":"","label":"LBM Steps","localized":"","hint":"","ui":"script_lbm"},
|
||
{"id":"","label":"left","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Live update","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Low threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Large","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"LTX model","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX frames number","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX frames skip","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX auto duration","localized":"","hint":"Clip length is predicted from the prompt and the frames setting is ignored","ui":"video"},
|
||
{"id":"","label":"LTX upscale","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX scale","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX refine","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX strength","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX decode timestep","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX save audio","localized":"","hint":"LTX-2 audio-capable models always generate audio from the same prompt as video; this toggle controls whether the audio track is included in the saved video file","ui":"video"},
|
||
{"id":"","label":"Loop","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Local directory name","localized":"","hint":"Directory where to install extension, leave blank for default","ui":"component-8746"},
|
||
{"id":"","label":"Libs","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Latent history size","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"LLama repo","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"low noise","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Load caption models direct to GPU","localized":"","hint":"Loads captioning and interrogation models straight onto the GPU instead of loading into RAM first.<br>Faster to start captioning, but uses VRAM while the caption model is loaded.<br><br>Enabled by default.","ui":"settings_offload"},
|
||
{"id":"","label":"leaf_level","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"LLM","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Layerwise casting storage","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Layerwise non-blocking operations","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Lumina: Use mask in transformers","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Listen on all interfaces","localized":"","hint":"","ui":"settings_server"},
|
||
{"id":"","label":"LinFusion apply distillation on load","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Light","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Log view update period","localized":"","hint":"Log view update period, in milliseconds","ui":"settings_ui"},
|
||
{"id":"","label":"Live preview display period","localized":"","hint":"Request preview image every n steps, set to 0 to disable","ui":"settings_live-preview"},
|
||
{"id":"","label":"Load custom Diffusers pipeline","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"LoRA force reload always","localized":"","hint":"Forces LoRA networks to reload from storage on every generation, even if already cached.<br>Useful for debugging or when LoRA files are being modified externally.<br>Disable for normal use to benefit from caching.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA load using Diffusers method","localized":"","hint":"Alternative method uses diffusers built-in LoRA capabilities instead of native SD.Next implementation (may reduce LoRA compatibility)","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA native fuse with model","localized":"","hint":"Merge LoRA into the model for lower memory usage.<br><br><b style=\"color: #ef4444\">Warning:</b> After removing or switching a LoRA, you may still see its style in generated images. To get a clean model, reload it from the model selector.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA diffusers fuse with model","localized":"","hint":"Merge LoRA into the model for lower memory usage and torch.compile compatibility.<br><br><b style=\"color: #ef4444\">Warning:</b> After removing or switching a LoRA, you may still see its style in generated images. To get a clean model, reload it from the model selector.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA quantized apply method","localized":"","hint":"How networks are applied to SDNQ-quantized model weights:<br>- <b>exact</b>: adapters are carried alongside the quantized weights at full precision; apply and removal are exact and the quantized weights are never modified. The carried factors take additional VRAM, growing with adapter rank, size and count<br>- <b>requantize</b>: adapters are merged into the quantized weights, matching the behavior of earlier releases. Uses no additional VRAM (a weight backup for network removal is held in system RAM); on models quantized below 8 bits rounding typically loses much of the adapter effect, with strong adapters retaining more<br><br>With <b>requantize</b> selected, the host rank, calibration and cache options below have no effect.<br><br>Default is <b>exact</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA quantized host rank","localized":"","hint":"Maximum rank used to carry adapter types that are not natively low-rank (LoKR, LoHA, OFT, DoRA) alongside the quantized weights instead of merging them in.<br>Higher values retain more of the adapter at proportionally more memory. Plain LoRA files are carried exactly at their own rank.<br><br>Applies only to SDNQ models quantized below 8 bits, where merging erases most of the adapter; at 8 bits and above merging retains it and hosting is skipped.<br><br><b>0</b> disables hosting and merges every adapter into the quantized weights.<br><br>Default is <b>256</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA quantized host calibration","localized":"","hint":"Collects per-channel activation statistics from the model's own generations and uses them to focus hosted-adapter truncation on the channels with the strongest activations.<br>Statistics accumulate in the background on models quantized below 8 bits, persist per checkpoint, and raise delivered adapter fidelity at the same <b><i>LoRA quantized host rank</i></b>, most at low ranks.<br><br>Capture is skipped while the model is compiled; previously cached statistics still apply.<br><br>Enabled by default.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA quantized host cache","localized":"","hint":"Disk space in GB for caching computed hosting factors.<br>A cached set skips the truncation math on the next load; least recently used entries are evicted once the budget is exceeded.<br><br><b>0</b> disables the cache.<br><br>Default is <b>10</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA stack mode","localized":"","hint":"How multiple networks targeting the same layer are combined:<br>- <b>sum</b>: adds all contributions<br>- <b>ties</b>: keeps each network's strongest elements and merges only where signs agree<br>- <b>dare_ties</b>: randomly drops elements, rescales the survivors, then merges where signs agree<br>- <b>dare_linear</b>: randomly drops elements, rescales the survivors and sums<br>- <b>magnitude_prune</b>: keeps each network's strongest elements and sums<br>- <b>klora</b> / <b>estlora</b>: assign each layer to one of exactly two networks, the first in the prompt as subject and the second as style; <b><i>LoRA stack ramp</i></b> optionally shifts layers toward style over the sampling steps<br><br>Each layer is given to a single network at a time, so a subject and a style that both need sustained strength can end up under-applied. For reliable blending of two strong networks, <b>sum</b>, <b>ties</b> and <b>dare_ties</b> apply every network throughout and combine more fully.<br><br>Kept fractions are set by <b><i>LoRA stack density</i></b>; the subject-to-style shift by <b><i>LoRA stack ramp</i></b> and <b><i>LoRA stack discrepancy</i></b>.<br><br>Applies to the native load path; other load methods and text encoder networks always combine as <b>sum</b>. Selection modes fall back to <b>sum</b> unless exactly two networks are loaded, or when model compile is active.<br><br>Default is <b>sum</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA stack density","localized":"","hint":"Fraction of elements each network keeps under the <b>ties</b>, <b>dare_ties</b>, <b>dare_linear</b> and <b>magnitude_prune</b> stack modes.<br>Lower values keep only the strongest contributions and reduce interference between networks at the cost of per-network detail. The dare variants drop at random and rescale the survivors to preserve expected strength.<br><br>Default is <b>0.5</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA stack ramp","localized":"","hint":"Slope of the subject-to-style shift across the sampling steps in the <b>klora</b> and <b>estlora</b> stack modes.<br><br><b>0</b> keeps the layer assignment fixed for the whole generation: each layer stays with the network that is more salient there, which preserves the subject while the style keeps its own layers. Higher values hand layers to the style network progressively, ending in a style takeover; on few-step models the handover happens early enough to override the subject.<br><br>Default is <b>0</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA stack discrepancy","localized":"","hint":"Stand-in for the measured style separation the <b>estlora</b> stack mode would otherwise derive from data.<br>Higher values keep layers with the subject network longer; lower values let the style network take layers earlier.<br><br>Layer scores are balanced by each network's overall strength, so a louder network does not take layers on magnitude alone.<br><br>Applies only when <b><i>LoRA stack mode</i></b> is <b>estlora</b>.<br><br>Default is <b>0.5</b>.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA auto-apply tags","localized":"","hint":"Automatically add trigger words/tags from LoRA metadata to your prompt.<br>Set to the number of tags to auto-apply, e.g., 3 = add top 3 trigger tags.<br>Set to 0 to disable, -1 to add all available tags.","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA memory cache","localized":"","hint":"How many LoRAs to keep in network for future use before requiring reloading from storage","ui":"settings_lora"},
|
||
{"id":"","label":"LoRA add hash info to metadata","localized":"","hint":"Include LoRA file hashes in generated image metadata.<br>Useful for reproducibility and tracking which exact LoRA versions were used.","ui":"settings_lora"},
|
||
{"id":"","label":"LDSR Path","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"LoRA load using legacy method","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Loaded LoRA","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"LoRA target filename","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Layer skip guidance","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"LineArt","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Leres Depth","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"m": [
|
||
{"id":"","label":"Mask","localized":"","hint":"Options for the mask that marks which part of the image is changed, used for inpainting, outpainting, and control masks. The masked area is regenerated while the rest is preserved.<br><b><i>Dilate</i></b>, <b><i>Erode</i></b>, and <b><i>Blur</i></b> reshape the mask edges; <b><i>Invert mask</i></b> swaps the changed and preserved regions; <b><i>Focus mask</i></b> crops and denoises just the masked region at full resolution.<br><br>Auto-segmentation can build the mask from the image instead of drawing it by hand.<br><br>In the <b><i>Size</i></b> accordion, the separate <b>Mask</b> tab instead sets how the mask is resized to the target resolution (see <b><i>Mode mask</i></b>).","ui":"control"},
|
||
{"id":"video_params_generic","label":"Models","localized":"","hint":"Download, convert or merge your models and manage models metadata","ui":"video"},
|
||
{"id":"","label":"Manage extensions","localized":"","hint":""},
|
||
{"id":"","label":"Manual install","localized":"","hint":"Manually install extension"},
|
||
{"id":"","label":"Models & Networks","localized":"","hint":"View lists of all available models and networks"},
|
||
{"id":"","label":"Model Loading","localized":"","hint":"Settings related to how model is loaded"},
|
||
{"id":"","label":"Model Options","localized":"","hint":"Settings related to behavior of specific models"},
|
||
{"id":"","label":"Model Offloading","localized":"","hint":"Moving model components between VRAM and system memory so that models larger than the GPU can still run, at the cost of transfer time on every generation.<br>The settings directly below apply to every mode. <b><i>Offload Overrides</i></b> holds exceptions honored by <b>balanced</b> and <b>group</b> offload; each of those modes then has its own tuning section.<br><br>Start with <b><i>Model offload mode</i></b>; the rest only take effect once a mode that uses them is selected."},
|
||
{"id":"","label":"Model Quantization","localized":"","hint":"Settings related to model quantization which is used to reduce memory usage"},
|
||
{"id":"","label":"Model Compile","localized":"","hint":"Settings related to different model compilation methods"},
|
||
{"id":"","label":"Metadata","localized":"","hint":"Update metadata for all available models"},
|
||
{"id":"","label":"Merge","localized":"","hint":"Merge two or more models into a new model"},
|
||
{"id":"","label":"Manual Block Merge","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"component-5788","label":"Merge Modules","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Model","localized":"","hint":"Base model"},
|
||
{"id":"","label":"Model metadata","localized":"","hint":""},
|
||
{"id":"","label":"ModernUI","localized":"","hint":""},
|
||
{"id":"","label":"Modular Pipelines","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Models Paths","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Mobile","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Merge multiple models","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Max shift","localized":"","hint":"Maximum shift value for high resolutions when using dynamic shifting.","ui":"txt2img"},
|
||
{"id":"","label":"Merge detailers","localized":"","hint":"Combines all detections from each model into a single mask and runs one inpaint pass per model instead of one per detection.<br>Faster when many regions are detected (e.g., a crowd scene with multiple faces): one larger inpaint pass replaces several small ones. Tradeoff: each region gets less individual attention because the model sees them all together.<br>Best for scenes where the detected regions are similar in size and content.<br><br>Default off.","ui":"txt2img"},
|
||
{"id":"","label":"Max detected","localized":"","hint":"Cap on how many detections per model are processed.<br>Detections beyond this count are dropped (in detection score order, highest first). Use to keep detailer time bounded on busy scenes.<br><br>Default 2.","ui":"txt2img"},
|
||
{"id":"","label":"Min confidence","localized":"","hint":"Minimum <i>YOLO</i> detection score required for a region to be processed.<br>Higher values keep only confident detections (fewer false positives but may miss real subjects in difficult lighting). Lower values include more candidates including weak ones.<br>Tune with <b><i>Include detections</i></b> on so you can see what is being kept and dropped.<br><br>Default 0.6.","ui":"txt2img"},
|
||
{"id":"","label":"Max overlap","localized":"","hint":"IOU threshold for non-maximum suppression: if two detections overlap by more than this fraction, the lower-scoring one is dropped.<br>Lower values are stricter (less overlap allowed; fewer duplicate detections of the same subject). Higher values let near-duplicates through, which is rarely useful.<br><br>Default 0.5.","ui":"txt2img"},
|
||
{"id":"","label":"Min size","localized":"","hint":"Minimum detection size as a fraction of the image's shorter edge. Detections smaller than this are dropped.<br>Use to filter out tiny background objects (e.g., faces in a crowd that aren't worth detailing). At 0.1, a face must occupy at least 10% of the image dimension to qualify.<br><br>Set to 0 to disable the lower bound.<br>Default 0.","ui":"txt2img"},
|
||
{"id":"","label":"Max size","localized":"","hint":"Maximum detection size as a fraction of the image's shorter edge. Detections larger than this are dropped.<br>Use to skip cases where the detector grabs the whole image (e.g., a person detector returning a near full-frame box that the inpaint pass would just regenerate).<br><br>Set to 1.0 to disable the upper bound.<br>Default 0.75.","ui":"txt2img"},
|
||
{"id":"","label":"Midtones","localized":"","hint":"Adjusts the brightness of midtone regions.<br>Positive values brighten midtones, negative values darken them.<br><br>Targets pixels near the middle of the luminance range using a bell-shaped mask in Lab space, leaving shadows and highlights largely untouched.","ui":"txt2img"},
|
||
{"id":"","label":"Momentum","localized":"","hint":"","ui":"script_apg"},
|
||
{"id":"","label":"Mode x-axis","localized":"","hint":"","ui":"script_asymmetric_tiling"},
|
||
{"id":"","label":"Mode y-axis","localized":"","hint":"","ui":"script_asymmetric_tiling"},
|
||
{"id":"","label":"Mask Dropout","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Multi decoder","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"CLiP Mode","localized":"","hint":"OpenCLiP interrogation depth.<br><b>Fast</b>: quick caption with minimal flavor terms.<br><b>Classic</b>: standard interrogation balancing quality and speed.<br><b>Best</b>: most thorough analysis, slowest but highest quality.<br><b>Negative</b>: generate terms suitable for use as a negative prompt.","ui":"caption"},
|
||
{"id":"","label":"Mode","localized":"","hint":"How the input is fitted to the target resolution.<br><b>None</b>: skips resize and passes the image through unchanged.<br><b>Fixed</b>: forces the image to the target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scales to fully cover the target, then center-crops the overflow, preserving aspect ratio.<br><b>Fill</b>: scales to fit inside the target, then pads the remaining space with the background color (set in Settings → Image options).<br><b>Outpaint</b>: like Fill, but the model paints new content into the padded space instead of using a solid color.<br><b>Context aware</b>: uses seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions, governed by the <b><i>Context</i></b> dropdown.","ui":"resize"},
|
||
{"id":"","label":"Method","localized":"","hint":"Algorithm used to perform the resize.<br>Choices range from simple interpolation (Lanczos, Nearest) to upscaler models (ESRGAN, SwinIR, RealESRGAN, etc.) and latent-space methods.<br><br>Upscaler models give better quality at the cost of speed; simple methods are fast but soft.","ui":"resize"},
|
||
{"id":"","label":"Model repo","localized":"","hint":"HuggingFace repository ID for the model","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Model gguf","localized":"","hint":"Optional GGUF quantized model repository on HuggingFace","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Model type","localized":"","hint":"Optional GGUF model quantization type","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Model file","localized":"","hint":"Optional specific GGUF model file inside the repository","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Max tokens","localized":"","hint":"Maximum number of tokens the model can generate in its response.<br>The model is not aware of this limit during generation and it won't make the model try to generate more detailed or more concise responses, it simply sets the hard limit for the length, and will forcefully cut off the response when the limit is reached.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"masked","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"","label":"Mask invert","localized":"","hint":"","ui":"script_differential_diffusion"},
|
||
{"id":"","label":"Mask strength","localized":"","hint":"","ui":"script_differential_diffusion"},
|
||
{"id":"","label":"Multistep restore","localized":"","hint":"","ui":"script_instantir"},
|
||
{"id":"","label":"Mask blur","localized":"","hint":"How much to blur the mask before processing, in pixels","ui":"script_outpainting"},
|
||
{"id":"","label":"Min guidance","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Max guidance","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Motion level","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Mode before","localized":"","hint":"How the <b>input</b> image is fitted to the target resolution before generation; the size set here is the resolution the model generates at (Initial sub-tab in the Size accordion).<br><b>None</b>: skips resize and passes the image through unchanged.<br><b>Fixed</b>: forces the image to the target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scales to fully cover the target, then center-crops the overflow, preserving aspect ratio.<br><b>Fill</b>: scales to fit inside the target, then pads the remaining space with the background color (set in Settings → Image options).<br><b>Outpaint</b>: like Fill, but the model paints new content into the padded space instead of using a solid color.<br><b>Context aware</b>: uses seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions, governed by the <b><i>Context</i></b> dropdown.","ui":"control"},
|
||
{"id":"","label":"Mode after","localized":"","hint":"How the <b>output</b> image is fitted to the target resolution <b>after</b> the model finishes generating (Post sub-tab in the Size accordion).<br><b>None</b>: skips resize and passes the image through unchanged.<br><b>Fixed</b>: forces the image to the target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scales to fully cover the target, then center-crops the overflow, preserving aspect ratio.<br><b>Fill</b>: scales to fit inside the target, then pads the remaining space with the background color (set in Settings → Image options).<br><b>Outpaint</b>: like Fill, but the model paints new content into the padded space instead of using a solid color.<br><b>Context aware</b>: uses seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions, governed by the <b><i>Context</i></b> dropdown.","ui":"control"},
|
||
{"id":"","label":"Method after","localized":"","hint":"Algorithm used to resize the <b>output</b> image after the model finishes generating (Post sub-tab in the Size accordion).<br>Choices range from simple interpolation (Lanczos, Nearest) to upscaler models (ESRGAN, SwinIR, RealESRGAN, etc.) and latent-space methods.<br><br>Upscaler models give better quality at the cost of speed; simple methods are fast but soft.","ui":"control"},
|
||
{"id":"","label":"Mode mask","localized":"","hint":"How the input <b>mask</b> image (used for inpainting, outpainting, or control masks) is fitted to the target resolution (Mask sub-tab in the Size accordion).<br><b>None</b>: skips resize and passes the mask through unchanged.<br><b>Fixed</b>: forces the mask to the target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scales to fully cover the target, then center-crops the overflow, preserving aspect ratio.<br><b>Fill</b>: scales to fit inside the target, then pads the remaining space with the background color (set in Settings → Image options).<br><b>Outpaint</b>: like Fill, but the model paints new content into the padded space instead of using a solid color.<br><b>Context aware</b>: uses seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions, governed by the <b><i>Context</i></b> dropdown.","ui":"control"},
|
||
{"id":"","label":"Method mask","localized":"","hint":"Algorithm used to resize the input <b>mask</b> image (used for inpainting, outpainting, or control masks; Mask sub-tab in the Size accordion).<br>Choices range from simple interpolation (Lanczos, Nearest) to upscaler models (ESRGAN, SwinIR, RealESRGAN, etc.) and latent-space methods.<br><br>Upscaler models give better quality at the cost of speed; simple methods are fast but soft.","ui":"control"},
|
||
{"id":"","label":"Maximum units","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Max faces","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Medium","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Merge alpha","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Mask only","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Max tags","localized":"","hint":"Maximum number of tags to include in the output.<br>Limits the result length when an image has many detected features.<br>Tags are sorted by confidence, so the most relevant ones are kept.","ui":"caption"},
|
||
{"id":"","label":"Memory","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Memory optimization","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"minimax_video_shift","label":"MiniMax video shift","localized":"","hint":"Exponential shift of the video sigma schedule, <code>sigma' = s*sigma / (1 + (s-1)*sigma)</code>. Values above 1 move the step grid toward full noise, values below 1 toward the clean end. The value is absolute and does not scale with the step count.<br><br>Default is <b>12</b>, the value the model ships with. Distilled LoRAs run at the shift they were trained with: <b>12</b> for the 544p <i>lightx2v</i> files, <b>6</b> for their 768p files. Parallel decoding (PDD) LoRAs pin the shipped value.<br><br>Recorded in the output metadata as <b>Video shift</b>.","ui":"video"},
|
||
{"id":"minimax_audio_shift","label":"MiniMax audio shift","localized":"","hint":"Exponential shift of the audio sigma schedule. The audio rows are denoised on this schedule inside the joint pass, so the value applies with audio output disabled too.<br><br>Default is <b>3</b>, the value the model ships with; the published turbo LoRAs keep it. Parallel decoding (PDD) LoRAs pin the shipped value.<br><br>Recorded in the output metadata as <b>Audio shift</b>.","ui":"video"},
|
||
{"id":"","label":"MiniMax Frames","localized":"","hint":"MiniMax is optimized to generate 5-15sec videos at 24 FPS","ui":"video"},
|
||
{"id":"minimax_steps","label":"MiniMax steps","localized":"","hint":"Number of transformer evaluations, counted the same way as on every other model. Distilled LoRAs run at the count in their name: a 4-step file at <b>4</b>, an 8-step file at <b>8</b>. Parallel decoding (PDD) LoRAs pin their own count.<br><br>Default is <b>30</b>.","ui":"video"},
|
||
{"id":"","label":"Model Info","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Model pipeline","localized":"","hint":"If autodetect does not detect model automatically, select model type before loading a model","ui":"settings_sd"},
|
||
{"id":"","label":"Model auto-load on start","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Model load using multiple threads","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Model auto-download on demand","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Model load using streams","localized":"","hint":"When loading models attempt stream loading optimized for slow or network storage","ui":"settings_sd"},
|
||
{"id":"","label":"Model load model direct to GPU","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Model offload mode","localized":"","hint":"Controls how model components move between VRAM and system RAM to fit larger models on less VRAM.<br>- <b>none</b>: keeps everything on the GPU; fastest, but only works if the whole model fits in VRAM<br>- <b>balanced</b>: the recommended default; offloads only when VRAM use crosses a threshold, so it suits almost any GPU (tuned by the watermarks below)<br>- <b>group</b>: offloads groups of layers via diffusers group offloading; an alternative middle ground with optional stream prefetch<br>- <b>model</b>: offloads whole components such as the VAE or text encoder when idle; a more compatible fallback when balanced or group are unsupported, with smaller savings<br>- <b>sequential</b>: offloads layer by layer; the most memory saving but slowest, for when even balanced runs out of memory<br><br>Command-line flags override the automatic choice:<br>- <code>--lowvram</code>: forces <b>sequential</b><br>- <code>--medvram</code>: forces <b>balanced</b> with low watermark <b>0</b><br><br>With no flag, <b>balanced</b> is the automatic default on any GPU, with watermarks set by GPU memory (low / high):<br>- 12 GB or less: <b>0</b> / <b>0.6</b><br>- 12-24 GB: <b>0.2</b> / <b>0.6</b><br>- 24 GB or more: <b>0.2</b> / <b>0.8</b><br>(or <b>none</b> if no GPU is detected)","reload":"model","ui":"settings_offload"},
|
||
{"id":"","label":"Model types not to offload","localized":"","hint":"Model architectures to skip when offloading, separated by spaces or commas.<br>Useful for model types that misbehave when offloaded.<br><br>Applies to <b>balanced</b> and <b>group</b> offload.<br><br>Default is empty.","ui":"settings_offload"},
|
||
{"id":"","label":"Modules to always offload","localized":"","hint":"Modules that are always offloaded in <b>balanced</b> mode, separated by spaces, commas, or semicolons, regardless of the watermarks.<br>Entries match either a class name (<i>T5EncoderModel</i>) or a pipeline component name (<i>text_encoder</i>, <i>text_encoder_2</i>).<br>A component entry covers every model architecture without naming each encoder class.<br><br>Applies only to <b>balanced</b> offload, since <b>group</b> offload returns every component it manages to system memory anyway.<br><br>Default is empty.","ui":"settings_offload"},
|
||
{"id":"","label":"Modules to never offload","localized":"","hint":"Modules that are never offloaded, separated by spaces, commas, or semicolons, keeping them resident in VRAM.<br>Entries match either a class name (<i>CLIPTextModel</i>) or a pipeline component name (<i>vae</i>).<br>This list takes precedence, so a class entry here exempts one model from a component entry in <b><i>Modules to always offload</i></b>.<br><br>Applies to <b>balanced</b> and <b>group</b> offload.<br><br>Default by GPU memory: the CLIP text encoders and the VAE are kept resident at 22 GB or more; empty otherwise.","ui":"settings_offload"},
|
||
{"id":"","label":"Model types not to quantize","localized":"","hint":"Model families that quantization always skips, even when it is otherwise enabled. Space or comma separated list of model type codes; when the loaded model matches, none of its components are quantized.<br><br>Codes are the short family names shown in the load log, such as <code>sd</code>, <code>sdxl</code>, <code>sd3</code>, <code>f1</code>.<br><br>Example: <code>sd sdxl</code> leaves <i>SD</i> and <i>SDXL</i> checkpoints in full precision while other families are still quantized.<br><br>Applies to all quantization backends.<br><br>Default is empty.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Modules to not convert","localized":"","hint":"Names of modules to leave unquantized (kept in original precision), separated by spaces, commas, or semicolons.<br>Useful for layers that are sensitive to quantization, such as gate or projection layers. Example: <code>proj_out, x_embedder</code>.<br><br>Some models already exclude sensitive modules by default; entries here extend that built-in list rather than replacing it.<br><br>Default is empty.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Modules dtype dict","localized":"","hint":"Advanced: JSON mapping a quantization type to a list of module names, to quantize specific modules at a different type than the global <b><i>Quantization type</i></b>. Example: <code>{\"uint4\": [\"proj_out\"]}</code>.<br><br>Some models already assign certain modules a specific type by default; entries here merge with those built-in mappings rather than replacing them.<br><br>Default is empty.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Math","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Memory limit","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"migraphx","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"max-autotune","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"max-autotune-no-cudagraphs","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Maximum image size (MP)","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Max words","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Min characters","localized":"","hint":"Number of characters that must be typed before autocomplete suggestions appear.<br>Lower values show suggestions sooner but may feel noisy; higher values wait for a more specific prefix.","ui":"script_autocomplete"},
|
||
{"id":"","label":"Modern","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Mount URL subpath","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Mobile scale","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Move detailer model to CPU when complete","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Move base model to CPU when using refiner","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Move base model to CPU when using VAE","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Move refiner model to CPU when not in use","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Move VAE and CLIP to RAM when training","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Model name","localized":"","hint":"","ui":"models_current_tab"},
|
||
{"id":"","label":"Model base path","localized":"","hint":"","ui":"models_current_tab"},
|
||
{"id":"","label":"Max shard size","localized":"","hint":"","ui":"models_current_tab"},
|
||
{"id":"","label":"Model class","localized":"","hint":"","ui":"models_loader_tab"},
|
||
{"id":"","label":"Mid Block","localized":"","hint":"Central Block of the UNet (1 value)","ui":"component-5674"},
|
||
{"id":"","label":"Model precision","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Maximum rank","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Midas depth","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"MLSD","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"MediaPipe Face","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Marigold Depth","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"n": [
|
||
{"id":"btn_extra_networks","label":"Networks","localized":"","hint":"Networks user interface"},
|
||
{"id":"","label":"New row","localized":"","hint":"","ui":"models_loader_tab"},
|
||
{"id":"","label":"New column","localized":"","hint":"","ui":"models_loader_tab"},
|
||
{"id":"","label":"Nunchaku","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"","label":"NudeNet","localized":"","hint":"Flexible extension that can detect and obfustate nudity in images","ui":"extras"},
|
||
{"id":"","label":"Nunchaku Engine","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"NNCF: Neural Network Compression Framework","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Noise Options","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Networks panel","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Networks UI","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Networks Scan","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Negative prompt","localized":"","hint":"Describe what you don't want to see in generated image","ui":"txt2img"},
|
||
{"id":"","label":"Number","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"negative","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"None","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"NSFW allowed","localized":"","hint":"Allow the model to generate adult content in enhanced prompts","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Noise strength","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"NMS","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Near threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Noise scale","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Note","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"Non-blocking move operations","localized":"","hint":"Uses non-blocking transfers when moving weights between GPU and RAM, letting copies overlap with other work.<br>Can be faster, but may be unstable on some platforms.<br><br>Disabled by default.","reload":"model","ui":"settings_offload"},
|
||
{"id":"","label":"Nunchaku attention","localized":"","hint":"Replaces default attention with Nunchaku's custom FP16 attention kernel for faster inference on consumer NVIDIA GPUs.<br>Might provide performance improvement on GPUs which have higher FP16 tensor cores throughput than BF16.<br><br>Currently only affects <i>Flux</i>-based models (<i>Dev</i>, <i>Schnell</i>, <i>Kontext</i>, <i>Fill</i>, <i>Depth</i>, etc.). Has no effect on <i>Qwen</i>, <i>SDXL</i>, <i>Sana</i>, or other architectures.<br><br>Disabled by default.","ui":"settings_quantization"},
|
||
{"id":"","label":"Nunchaku offloading","localized":"","hint":"Enables Nunchaku's own per-block CPU offloading with asynchronous CUDA streams to reduce VRAM usage.<br>Uses a ping-pong buffer strategy: while one transformer block computes on GPU, the next block preloads from CPU in the background, hiding most of the transfer latency.<br><br>Can reduce VRAM usage at the cost of slower inference.<br>This replaces SD.Next's pipeline offloading for the transformer component.<br><br>Only useful on low-VRAM GPUs. If your GPU has enough memory to hold the quantized model (16+ GB), keep this disabled for maximum speed.<br>Supports <i>Flux</i> and <i>Qwen</i> models. Not supported for <i>SDXL</i> where this setting is ignored.<br>Disabled by default.","ui":"settings_quantization"},
|
||
{"id":"","label":"native","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"no-grad","localized":"","hint":"Disables gradient tracking with torch.no_grad. Reduces memory usage and speeds up inference.","ui":"settings_backends"},
|
||
{"id":"","label":"Numbered filenames","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Network card size (px)","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Noise multiplier for image processing","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"New model name","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Number of ReBasin Iterations","localized":"","hint":"Number of times to merge and permute the model before saving","ui":"models_merge_tab"},
|
||
{"id":"","label":"Network prompt","localized":"","hint":""},
|
||
{"id":"","label":"Network negative prompt","localized":"","hint":""},
|
||
{"id":"","label":"Network parameters","localized":"","hint":""}
|
||
],
|
||
"o": [
|
||
{"id":"txt2img_results_mobile","label":"Output","localized":"","hint":"Generation resuls and live previews during generation process<br>Click to minimize/maximize","ui":"txt2img"},
|
||
{"id":"","label":"OpenCLiP","localized":"","hint":"Analyze image using CLiP model via OpenCLiP","ui":"caption"},
|
||
{"id":"","label":"ONNX","localized":"","hint":""},
|
||
{"id":"","label":"Override","localized":"","hint":"Override settings that can change server behavior and are typically applied from imported image metadata","ui":"txt2img"},
|
||
{"id":"","label":"Optimum Quanto","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Optimum Quanto: post-load","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Optional","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Olive","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"OpenVINO","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"Other...","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Outputs & Images","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Override settings","localized":"","hint":"If generation parameters deviate from your system settings override settings populated with those settings to override your system configuration for this workflow","ui":"txt2img"},
|
||
{"id":"","label":"Override sampler","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Override steps","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Ortho","localized":"","hint":"","ui":"script_pulid"},
|
||
{"id":"","label":"Offload face module","localized":"","hint":"","ui":"script_pulid"},
|
||
{"id":"","label":"Override scheduler","localized":"","hint":"","ui":"script_style_aligned_image_generation"},
|
||
{"id":"","label":"Optional image description","localized":"","hint":"","ui":"script_style_aligned_image_generation"},
|
||
{"id":"","label":"Order","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Overlay","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Override resolution","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Offload processor","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Output directory","localized":"","hint":"Folder where the processed images should be saved to","ui":"extras"},
|
||
{"id":"","label":"original","localized":"","hint":"Original LDM backend","ui":"settings_sd"},
|
||
{"id":"","label":"Offload caption models","localized":"","hint":"Moves captioning and interrogation models out of VRAM when they are not in use, freeing memory for generation.<br><br>Enabled by default.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload during pre-forward","localized":"","hint":"In <b>balanced</b> offload, rebalances VRAM just before each component runs rather than on demand.<br><br>Applies only to <b>balanced</b> offload.<br><br>Enabled by default.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload using streams","localized":"","hint":"In <b>balanced</b> offload, uses CUDA streams to overlap weight transfers with computation, hiding transfer latency.<br>Faster, but uses more VRAM and needs a compatible GPU.<br><br>Applies only to <b>balanced</b> offload.<br><br>Disabled by default.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload low watermark","localized":"","hint":"Lower VRAM threshold for <b>balanced</b> offload, as a fraction of total GPU memory. While VRAM use stays below this, nothing is offloaded; above it, idle components are moved back to RAM.<br><br>Applies only to <b>balanced</b> offload. <code>--lowvram</code> and <code>--medvram</code> set this to <b>0</b>.<br><br>Default by GPU memory: <b>0</b> at 12 GB or less, <b>0.2</b> above.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload GPU high watermark","localized":"","hint":"Upper VRAM threshold for <b>balanced</b> offload, as a fraction of total GPU memory. Sets the most VRAM a single component may use before it is offloaded.<br><br>Applies only to <b>balanced</b> offload.<br><br>Default by GPU memory: <b>0.6</b>, rising to <b>0.8</b> at 24 GB or more.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload CPU high watermark","localized":"","hint":"Upper system-RAM threshold for offloaded weights in <b>balanced</b> offload, as a fraction of total RAM.<br><br>Applies only to <b>balanced</b> offload.<br><br>Default is <b>0.9</b>.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload Overrides","localized":"","hint":"Exceptions to the behavior chosen by <b><i>Model offload mode</i></b>, matched by model architecture or by pipeline component.<br>Use these to keep a component in VRAM when the mode would offload it, or to offload one the mode would keep.<br>The module lists match either a class name (<i>CLIPTextModel</i>) or a component name (<i>vae</i>); a component name covers every architecture at once.<br><br>Applies to <b>balanced</b> and <b>group</b> offload; <b><i>Modules to always offload</i></b> applies to <b>balanced</b> only.","ui":"settings_offload"},
|
||
{"id":"","label":"Overlap stream transfers","localized":"","hint":"Skips a stream synchronization each time a group offloads, letting transfers and compute overlap more tightly.<br>Slightly faster at the cost of slightly higher VRAM use; correctness is maintained either way.<br>Has no effect unless <b><i>Prefetch with streams</i></b> is enabled.<br><br>Applies only to <b>group</b> offload with streams.<br><br>Disabled by default.","ui":"settings_offload"},
|
||
{"id":"","label":"Offload blocks","localized":"","hint":"Number of transformer blocks per offload group when <b><i>Group offload type</i></b> is <b>block_level</b>. Larger groups offload less often (faster, more VRAM); smaller groups save more memory.<br><br>Applies only to <b>group</b> offload with <b>block_level</b>.<br><br>Default is <b>1</b>.","ui":"settings_offload"},
|
||
{"id":"","label":"OpenVINO activations mode","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"ONNX Execution Provider","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"ONNX allow fallback to CPU","localized":"","hint":"Allow fallback to CPU when selected execution provider failed","ui":"settings_backends"},
|
||
{"id":"","label":"ONNX cache converted models","localized":"","hint":"Save the models that are converted to ONNX format as a cache. You can manage them in ONNX tab","ui":"settings_backends"},
|
||
{"id":"","label":"ONNX unload base model when processing refiner","localized":"","hint":"Unload base model when the refiner is being converted/optimized/processed","ui":"settings_backends"},
|
||
{"id":"","label":"Olive use FP16 on optimization","localized":"","hint":"Use 16-bit floating point precision for the output model of Olive optimization process. Use 32-bit floating point precision if disabled","ui":"settings_backends"},
|
||
{"id":"","label":"Olive force FP32 for VAE Encoder","localized":"","hint":"Use 32-bit floating point precision for VAE Encoder of the output model. This overrides 'use FP16 on optimization' option. If you are getting NaN or black blank images from Img2Img, enable this option and remove cache","ui":"settings_backends"},
|
||
{"id":"","label":"Olive use static dimensions","localized":"","hint":"Make the inference with Olive optimized models much faster. (OrtTransformersOptimization)","ui":"settings_backends"},
|
||
{"id":"","label":"Olive cache optimized models","localized":"","hint":"Save Olive processed models as a cache. You can manage them in ONNX tab","ui":"settings_backends"},
|
||
{"id":"","label":"OpenVINO disable model caching","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"OpenVINO disable memory cleanup after compile","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"onediff","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"olive-ai","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"openvino_fx","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Overwrite existing","localized":"","hint":"","ui":"models_current_tab"},
|
||
{"id":"","label":"Out Block","localized":"","hint":"Upsampling Blocks of the UNet (12 values for <i>SD1.5</i>, 9 values for <i>SDXL</i>)","ui":"component-5674"},
|
||
{"id":"","label":"Overwrite model","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Output model","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Overwrite existing file","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Options","localized":"","hint":"","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"OpenBody","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"p": [
|
||
{"id":"","label":"Prefetch with streams","localized":"","hint":"In <b>group</b> offload, uses CUDA streams to prefetch the next group while the current one runs, hiding transfer latency.<br>Faster, but offloaded weights are then staged in pinned non-pageable host memory: the whole module when <b><i>Pin offload memory</i></b> is enabled, one group at a time otherwise.<br>Components used once per generation, such as text encoders, are exempt and always offload without streams.<br><br>Applies only to <b>group</b> offload.<br><br>Disabled by default.","ui":"settings_offload"},
|
||
{"id":"","label":"Pin offload memory","localized":"","hint":"Keeps the CPU copy of every stream-offloaded weight in pinned non-pageable memory for the fastest transfers, at a host memory cost equal to the full module size.<br>When disabled, memory is pinned one group at a time during transfer: slower, but the weights stay pageable and use no extra memory at rest.<br>A component too large for the system memory free when it loads falls back to <b>block_level</b> without streams; some memory is always left for the rest of the system.<br><br>Applies only to <b>group</b> offload with <b><i>Prefetch with streams</i></b> enabled.<br><br>Enabled by default.","ui":"settings_offload"},
|
||
{"id":"extras_nav","label":"Process","localized":"","hint":"Process existing image<br>Can be used to upscale images, remove backgrounds, obfuscate NSFW content, apply various filters and effects"},
|
||
{"id":"txt2img_prompts","label":"Prompts","localized":"","hint":"Image prompt and negative prompt","ui":"txt2img"},
|
||
{"id":"txt2img_pause","label":"Pause","localized":"","hint":"Pause processing","ui":"txt2img"},
|
||
{"id":"","label":"Post","localized":"","hint":"How the finished image is resized after generation, a final output step independent of the generation size set under <b><i>Initial</i></b>.<br>The <b><i>Mode after</i></b> dropdown picks the fit method; the <b>Fixed</b> and <b>Scale</b> tabs set an exact size or a multiplier.<br><br>With <b>None</b> the generated image passes through at its original size.","ui":"control"},
|
||
{"id":"","label":"Preview","localized":"","hint":"Selects how the mask preview is rendered when you click <b>Run Preview</b>.<br><b>None</b>: skip the preview step.<br><b>Masked</b>: input image with everything outside the mask blacked out.<br><b>Binary</b>: pure black-and-white mask (Otsu thresholded).<br><b>Grayscale</b>: mask intensity values rendered as gray levels.<br><b>Color</b>: mask recolored using the selected <b>Colormap</b>.<br><b>Composite</b>: 50/50 blend of the input image and the colored mask, so you can see exactly where the mask falls relative to the subject.<br><br>Default Composite.","ui":"video"},
|
||
{"id":"","label":"Process Image","localized":"","hint":"Process single image","ui":"extras"},
|
||
{"id":"","label":"Process Batch","localized":"","hint":"Process batch of images","ui":"extras"},
|
||
{"id":"","label":"Process Folder","localized":"","hint":"Process all images in a folder","ui":"extras"},
|
||
{"id":"","label":"Provider","localized":"","hint":"","ui":"tab_onnx"},
|
||
{"id":"","label":"Pipeline Modifiers","localized":"","hint":"Additional functionality that can be enabled during generate"},
|
||
{"id":"","label":"Postprocessing","localized":"","hint":"Settings related to post image generation processing and upscaling"},
|
||
{"id":"","label":"Preset Block Merge","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Preview metadata","localized":"","hint":""},
|
||
{"id":"","label":"Prompt","localized":"","hint":"Describe image you want to generate","ui":"txt2img"},
|
||
{"id":"","label":"PixelArt","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"PAG: Perturbed attention guidance","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"PAB: Pyramid attention broadcast","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Para-attention","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Paths for specific models","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Prediction method","localized":"","hint":"Defines what the model predicts at each step. Options:<br>- <b>default</b>: the model default<br>- <b>epsilon</b>: noise (most common for Stable Diffusion)<br>- <b>sample</b>: direct denoised image prediction, also called as x0 prediction<br>- <b>v_prediction</b>: velocity prediction, used by <i>CosXL</i> and <i>NoobAI</i> VPred models<br>- <b>flow_prediction</b>: used with newer flow-matching models like <i>SD3</i> and <i>Flux</i>","ui":"txt2img"},
|
||
{"id":"","label":"PAG scale","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"PAG start","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"PAG stop","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"PAG layers","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"PAG config","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Perform SDSA","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Perform Injection","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"PhotoMaker Model","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Penalty","localized":"","hint":"","ui":"script_flux_prompt_enhance_(legacy)"},
|
||
{"id":"","label":"positive","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"Prompt EX","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"Power","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"Prompt thresholds","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"Preset","localized":"","hint":"","ui":"script_style_aligned_image_generation"},
|
||
{"id":"","label":"Pad frames","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Prefill text","localized":"","hint":"Pre-fills the start of the model's response to guide its output format or content by forcing it to continue the prefill text.<br>Prefill is filtered out and does not appear in the final response.<br><br>Leave empty to let the model generate its own response from scratch.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Prompt prefix","localized":"","hint":"Text prepended at the beginning of the enhanced prompt result.<br><br>Useful for adding prompt elements which need to be copied to the image prompt unchanged, like quality tags 'masterpiece, best quality' or artist names, which would otherwise be rewritten by the LLM.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Prompt suffix","localized":"","hint":"Text appended to the end of the enhanced prompt result.<br><br>Useful for adding prompt elements which need to be copied to the image prompt unchanged, which would otherwise be rewritten by the LLM.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Padding","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"","label":"Prompt strength","localized":"","hint":"","ui":"script_blip_diffusion"},
|
||
{"id":"","label":"Preview start","localized":"","hint":"","ui":"script_instantir"},
|
||
{"id":"","label":"Preview end","localized":"","hint":"","ui":"script_instantir"},
|
||
{"id":"","label":"Pixels to expand","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Processor","localized":"","hint":"Processor type to use to preprocess image used for <i>ControlNet</i>","ui":"control"},
|
||
{"id":"","label":"Pose confidence","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Parameter free","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Postprocess mask","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"PixelArt block size","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"PixelArt sharpen","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Platform","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Pipeline","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Perform warmup","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"Prompt attention normalization","localized":"","hint":"Balances prompt token weights to avoid overly strong/weak influence. Helps stabilize outputs.","ui":"settings_text_encoder"},
|
||
{"id":"","label":"performance","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"PAG layer names","localized":"","hint":"Space separated list of layers<br>Available: d[0-5], m[0], u[0-8]<br>Default: m0","ui":"settings_advanced"},
|
||
{"id":"","label":"PAB cache enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"PAB spacial skip range","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"PAB spacial skip start","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"PAB spacial skip end","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"ParaAttention first-block cache enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"ParaAttention residual diff threshold","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Parallel process images in batch","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"precompile","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Panel minimum width","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Persist UI layout","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Progress update period","localized":"","hint":"Update period for UI progress bar and preview checks, in milliseconds","ui":"settings_live-preview"},
|
||
{"id":"","label":"Play a notification upon completion","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"Path to notification sound","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"Postprocessing operation order","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Prompt padding","localized":"","hint":"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Pad prompt and negative prompt to be same length","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Pin training dataset to memory","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Primary model","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Preset Interpolation Ratio","localized":"","hint":"If two presets are selected, interpolate between them","ui":"component-5660"},
|
||
{"id":"","label":"Prune","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Prediction type","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Prompt enhance","localized":"","hint":"Extension that can use different LLMs to rewrite prompt for improved results","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"PidiNet","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Parameters","localized":"","hint":"Base parameters used during image generation","ui":"video"},
|
||
{"id":"","label":"Postprocess upscale","localized":"","hint":"","ui":"tab_process"}
|
||
],
|
||
"q": [
|
||
{"id":"btn_quick_settings","label":"Quick Settings","localized":"","hint":"Favorited items from different settings sections for quick access"},
|
||
{"id":"","label":"Quantized","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"","label":"Qwen layered","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Quicksettings","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Qwen layered number of layers","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Quantization enabled","localized":"","hint":"Selects which model components SDNQ quantizes: <b>Model</b> (the diffusion transformer or UNet), <b>TE</b> (pipeline text encoders), <b>LLM</b> (standalone LLM/VLM tools like captioning and prompt enhance), <b>Control</b> (ControlNet), or <b>VAE</b>.<br>Quantization lowers VRAM use and can speed up inference at some accuracy cost.<br><br>An empty selection disables SDNQ.<br><br>Default is empty.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization mode","localized":"","hint":"When SDNQ quantizes the model.<br>- <b>auto</b>: quantizes during load when possible, otherwise after load<br>- <b>pre</b>: quantizes layer by layer as the model loads, lowering peak memory<br>- <b>post</b>: quantizes after the full model is loaded<br><br>Default is <b>auto</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization type","localized":"","hint":"Weight data type SDNQ quantizes to. Lower bit widths (e.g. <b>uint4</b>) shrink the model and can speed up inference; higher bit widths (e.g. <b>int8</b>) keep more accuracy.<br>Integer types are widely supported; float types (<b>float8_e4m3fn</b>, etc.) only accelerate on newer GPUs.<br><br>Applies to the components selected in <b><i>Quantization enabled</i></b>.<br><br>Default is <b>int8</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantized MatMul type","localized":"","hint":"Runs matrix multiplications on quantized weights in a low-precision compute type instead of dequantizing to <b>bf16</b> / <b>fp16</b>, which can speed up inference on supported hardware.<br><b>disabled</b> keeps the dequantize path. <b>enabled</b> picks <b>int8</b> for integer weights or <b>float8_e4m3fn</b> / <b>float16</b> for float weights; explicit types override that choice.<br><br>Default is <b>disabled</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization type for Text Encoders","localized":"","hint":"Weight data type for text encoder quantization, separate from the main <b><i>Quantization type</i></b>.<br><b>Same as model</b> uses the main <b><i>Quantization type</i></b>.<br><br>Applies to both <b>TE</b> (pipeline text encoders) and <b>LLM</b> (standalone tools like captioning and prompt enhance) when selected in <b><i>Quantization enabled</i></b>.<br><br>Default is <b>Same as model</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantized MatMul type for Text Encoders","localized":"","hint":"Quantized matrix multiplication type for text encoders and standalone LLM tools (captioning, prompt enhance), separate from the main <b><i>Quantized MatMul type</i></b>.<br><b>Same as model</b> uses the main setting.<br><br>Default is <b>disabled</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantize convolutional layers","localized":"","hint":"Also quantizes convolutional layers, such as those in UNet models like <i>SDXL</i>.<br>Saves more memory, but convolutions are often more sensitive to quantization.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantize embedding layers","localized":"","hint":"Also quantizes embedding layers in text models.<br>Saves extra memory at some risk to quality.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantize using GPU","localized":"","hint":"Runs the quantization computation on the GPU instead of the CPU, which is much faster but uses VRAM during model load.<br>Disabling it keeps the computation on the CPU when load-time VRAM is limited.<br><br>Enabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization weights type","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization activations type","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quicksettings list","localized":"","hint":"List of setting names, separated by commas, for settings that should go to the quick access bar at the top instead the setting tab","ui":"settings_ui"}
|
||
],
|
||
"r": [
|
||
{"id":"txt2img_refine","label":"Refine","localized":"","hint":"Refine runs additonal processing after initial processing has completed and can be used to upscale image and run optionally process it again to increase quality and details","ui":"txt2img"},
|
||
{"id":"txt2img_paste","label":"Restore","localized":"","hint":"Restore parameters from current prompt or last known generated image","ui":"txt2img"},
|
||
{"id":"component-754","label":"Reset anchors","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"component-982","label":"Reload model","localized":"","hint":"Reload currently selected model","ui":"script_layerdiffuse"},
|
||
{"id":"txt2img_reprocess","label":"Reprocess","localized":"","hint":"Reprocess previous generations using different parameters","ui":"txt2img"},
|
||
{"id":"","label":"Resize to","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Resize\n by","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Resize\n to","localized":"","hint":"","ui":"control"},
|
||
{"id":"control_mask_refresh","label":"Run Preview","localized":"","hint":"Runs the configured mask pipeline (auto-segment, dilate, erode, blur, invert) on the current input and renders the result in the output panel using the selected <b>Preview</b> style.<br>Use this to iterate on mask settings without launching a full generation.","ui":"control"},
|
||
{"id":"framepack_btn_reset_model","label":"Reset receipe","localized":"","hint":"","ui":"video"},
|
||
{"id":"video_generation_info_button","label":"Run","localized":"","hint":"","ui":"video"},
|
||
{"id":"component-8738","label":"Refresh extension list","localized":"","hint":"Refresh list of available extensions","ui":"component-8724"},
|
||
{"id":"restart_submit","label":"Restart server","localized":"","hint":""},
|
||
{"id":"request_notifications","label":"Request browser notifications","localized":"","hint":"","ui":"tab_settings"},
|
||
{"id":"ui_defaults_restore","label":"Restore UI defaults","localized":"","hint":"Restore default user interface values","ui":"tab_config"},
|
||
{"id":"ui_defaults_view","label":"Refresh UI values","localized":"","hint":"","ui":"tab_config"},
|
||
{"id":"component-8685","label":"Reinstall","localized":"","hint":"","ui":"component-8682"},
|
||
{"id":"system_info_tab_refresh_btn","label":"Refresh state","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"system_info_tab_refresh_full_btn","label":"Refresh data","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"system_info_tab_benchmark_btn","label":"Run benchmark","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"system_info_tab_refresh_bench_btn","label":"Refresh bench","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"defaults_submit","label":"Restore defaults","localized":"","hint":"Restore default server settings"},
|
||
{"id":"","label":"Replace","localized":"","hint":"Replace image"},
|
||
{"id":"btn_history_refresh","label":"Refresh","localized":"","hint":""},
|
||
{"id":"txt2img_reprocess_decode","label":"Reprocess decode","localized":"","hint":"","ui":"tab_txt2img"},
|
||
{"id":"txt2img_reprocess_refine","label":"Reprocess refine","localized":"","hint":"","ui":"tab_txt2img"},
|
||
{"id":"txt2img_reprocess_detail","label":"Reprocess face","localized":"","hint":"","ui":"tab_txt2img"},
|
||
{"id":"","label":"Remove background","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"RAS: Region-Adaptive Sampling","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Resize","localized":"","hint":"Image resizing, can be using fixed resolution on based on scale","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Rerefence models","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Replace model components","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"rescale","localized":"","hint":"Rescales the noise schedule so the final timestep starts from true pure noise (zero signal-to-noise ratio).<br>Standard SD schedules don't quite reach pure noise at the highest timestep, which biases generations toward medium brightness and limits dynamic range. Rescaling unlocks the full range of darks and brights.<br><br>Should only be enabled for models trained with zero-terminal-SNR or v-prediction. The most common are <i>SDXL</i> fine-tunes carrying a 'vpred' or 'v-prediction' tag in the name (e.g. <i>NoobAI XL Vpred</i>, <i>Illustrious XL Vpred</i>, Stability's <i>CosXL</i>), plus some noise-offset and <i>Terminus</i>-family checkpoints. Standard epsilon-prediction models such as base <i>SDXL</i>, <i>Pony</i>, and <i>Animagine</i> should be left as-is. Enabling on a mismatched model will shift colors and degrade quality.<br><br>Recommended to leave off unless your model documentation specifically calls for it.<br><br>Disabled by default.","ui":"txt2img"},
|
||
{"id":"","label":"Resize seed from width","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution","ui":"txt2img"},
|
||
{"id":"","label":"Resize seed from height","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution","ui":"txt2img"},
|
||
{"id":"","label":"Refine guidance","localized":"","hint":"Guidance scale used for the secondary pass (refiner model or HiRes refine). Behaves like the main Guidance scale but applies only to that secondary pass.<br>For OmniGen this slider controls a separate image-conditioning guidance scale instead, used alongside the main Guidance scale in OmniGen's dual-CFG formula.<br><br>Set to 0 to disable guidance for the secondary pass.<br>Defaults to 6.0.","ui":"txt2img"},
|
||
{"id":"","label":"Resize mode","localized":"","hint":"How the input is fitted to the target resolution.<br><b>None</b>: skips resize and passes the image through unchanged.<br><b>Fixed</b>: forces the image to the target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scales to fully cover the target, then center-crops the overflow, preserving aspect ratio.<br><b>Fill</b>: scales to fit inside the target, then pads the remaining space with the background color (set in Settings → Image options).<br><b>Outpaint</b>: like Fill, but the model paints new content into the padded space instead of using a solid color.<br><b>Context aware</b>: uses seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions, governed by the <b><i>Context</i></b> dropdown.","ui":"txt2img"},
|
||
{"id":"","label":"Resize method","localized":"","hint":"Method used to resize the image: can be simple resize, upscaling model, latent resize or asymmetric decode","ui":"txt2img"},
|
||
{"id":"","label":"Resize width","localized":"","hint":"Resizes image to this width. If 0, width is inferred from either of two nearby sliders","ui":"txt2img"},
|
||
{"id":"","label":"Resize height","localized":"","hint":"Resizes image to this height. If 0, height is inferred from either of two nearby sliders","ui":"txt2img"},
|
||
{"id":"","label":"Resize scale","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Refine sampler","localized":"","hint":"Use specific sampler as fallback sampler if primary is not supported for specific operation","ui":"txt2img"},
|
||
{"id":"","label":"Refiner start","localized":"","hint":"Refiner pass will start when base model is this much complete (set to larger than 0 and smaller than 1 to run after full base model run)","ui":"txt2img"},
|
||
{"id":"","label":"Refiner steps","localized":"","hint":"Number of steps to use for refiner pass","ui":"txt2img"},
|
||
{"id":"","label":"Refine prompt","localized":"","hint":"Prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)","ui":"txt2img"},
|
||
{"id":"","label":"Refine negative prompt","localized":"","hint":"Negative prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)","ui":"txt2img"},
|
||
{"id":"","label":"Renoise","localized":"","hint":"Multiplier applied to the sampler's step size during the detailer pass. Same mechanism as the <b><i>Sigma adjust</i></b> slider in the sampler tab, scoped to detailer only.<br>Values below 1.0 shrink each step for smoother, more conservative refinement (good for keeping faces stable). Values above 1.0 enlarge each step for sharper, more aggressive resampling.<br><br>Default 1.0 disables the adjustment.","ui":"txt2img"},
|
||
{"id":"","label":"Renoise end","localized":"","hint":"Upper bound of the denoising window where <b>Renoise</b> is active within the detailer pass, as a fraction of the noise schedule (1.0 = pure noise, 0.0 = clean image).<br>Lower values restrict renoise to the very first steps (gentler intervention); higher values let it act further into the run.<br><br>Default 1.0 keeps renoise active across the full pass.","ui":"txt2img"},
|
||
{"id":"","label":"Repeat x-axis","localized":"","hint":"","ui":"script_asymmetric_tiling"},
|
||
{"id":"","label":"Repeat y-axis","localized":"","hint":"","ui":"script_asymmetric_tiling"},
|
||
{"id":"","label":"ReSwapper Model","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Return original images","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Restart step","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"Restore pipeline on end","localized":"","hint":"","ui":"script_infiniteyou"},
|
||
{"id":"","label":"Randomize seed after each loop iteration","localized":"","hint":"","ui":"script_loopback"},
|
||
{"id":"","label":"Random seeds","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"Restore pipe on end","localized":"","hint":"","ui":"script_pulid"},
|
||
{"id":"","label":"Rows","localized":"","hint":"","ui":"script_regional_prompting"},
|
||
{"id":"","label":"Repetition penalty","localized":"","hint":"Discourages reusing tokens that already appear in the prompt or output by penalizing their probabilities.<br>Like adding friction to revisiting previous choices. Helps break repetitive loops but may reduce coherence at aggressive values.<br><br>Set to 1 to disable.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Redux prompt strength","localized":"","hint":"","ui":"script_flux_tools"},
|
||
{"id":"","label":"right","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Reference query weight","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Reference adain weight","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Refine upscaler","localized":"","hint":"Select secondary upscaler to run after initial upscaler","ui":"extras"},
|
||
{"id":"","label":"Refine foreground","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Recursive","localized":"","hint":"Process images in subfolders recursively.<br>When enabled, searches all nested subdirectories for images to process.","ui":"caption"},
|
||
{"id":"","label":"Rebase","localized":"","hint":"","ui":"tab_update"},
|
||
{"id":"","label":"Repos","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Refiner model","localized":"","hint":"Refiner model used for second-pass operations","ui":"settings_sd"},
|
||
{"id":"","label":"Remote VAE image type","localized":"","hint":"","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"Remote VAE for encode","localized":"","hint":"","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"RAS enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"reduce-overhead","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"repeated","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Root model folder","localized":"","hint":"","ui":"settings_system-paths"},
|
||
{"id":"","label":"Resize background color","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Restore from metadata: skip params","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"Restore from metadata: skip settings","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"requests","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"rust","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"Restore unparsed prompt","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Reuse loaded model dictionary","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"ReBasin","localized":"","hint":"Performs multiple merges with permutations in order to keep more features from both models","ui":"models_merge_tab"},
|
||
{"id":"","label":"Replace VAE","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Reference unit 1","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"s": [
|
||
{"id":"txt2img_sampler","label":"Sampler","localized":"","hint":"Settings related to sampler and seed selection and configuration. Samplers guide the process of turning noise into an image over multiple steps.","ui":"txt2img"},
|
||
{"id":"","label":"Sampler list filtered","localized":"","hint":"This list only shows samplers selected in <b><i>Sampler Settings</i></b>. Select to open settings.","ui":"txt2img"},
|
||
{"id":"","label":"Sampler Settings","localized":"","hint":"Preferences for sampler and upscaler lists.","ui":"settings_sampler"},
|
||
{"id":"","label":"Scripts","localized":"","hint":"Enable additional features by using selected scripts during generate process","ui":"txt2img"},
|
||
{"id":"","label":"Scale","localized":"","hint":"Resize image to target scale. If resize fixed width/height are set this option is ignored","ui":"txt2img"},
|
||
{"id":"xy_grid_swap_axes_button","label":"Swap X/Y","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"yz_grid_swap_axes_button","label":"Swap Y/Z","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"xz_grid_swap_axes_button","label":"Swap X/Z","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"prompt_enhance_copy","label":"Set prompt","localized":"","hint":"Copy the enhanced prompt to the main prompt input","ui":"script_prompt_enhance"},
|
||
{"id":"txt2img_skip","label":"Skip","localized":"","hint":"Stop processing current job and continue processing","ui":"txt2img"},
|
||
{"id":"txt2img_interrupt","label":"Stop","localized":"","hint":"Stop processing","ui":"txt2img"},
|
||
{"id":"","label":"Save","localized":"","hint":"Save image","ui":"txt2img"},
|
||
{"id":"","label":"Sketch","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"video_params_size","label":"Size & Inputs","localized":"","hint":"Settings related to generation resolution and additional input media","ui":"video"},
|
||
{"id":"framepack_btn_set_model","label":"Set receipe","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Scale by","localized":"","hint":"Use this tab to resize the source image(s) by a chosen factor","ui":"extras"},
|
||
{"id":"","label":"Scale to","localized":"","hint":"Use this tab to resize the source image(s) to a chosen target size","ui":"extras"},
|
||
{"id":"btn_server_info","label":"Server Info","localized":"","hint":""},
|
||
{"id":"btn_settings","label":"Settings","localized":"","hint":"Application settings"},
|
||
{"id":"btn_system","label":"System","localized":"","hint":"System settings and information"},
|
||
{"id":"shutdown_submit","label":"Shutdown server","localized":"","hint":""},
|
||
{"id":"enable_profiling","label":"Start profiling","localized":"","hint":""},
|
||
{"id":"","label":"System Info","localized":"","hint":"System information"},
|
||
{"id":"ui_defaults_apply","label":"Set UI defaults","localized":"","hint":"Set current values as default values for the user interface","ui":"tab_config"},
|
||
{"id":"ui_submenu_apply","label":"Set UI menu states","localized":"","hint":"","ui":"tab_config"},
|
||
{"id":"system_info_tab_interrupt_btn","label":"Send interrupt","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"system_info_tab_submit_btn","label":"Submit results","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"Server Settings","localized":"","hint":""},
|
||
{"id":"","label":"System Paths","localized":"","hint":"Settings related to location of various model directories"},
|
||
{"id":"","label":"Show all pages","localized":"","hint":"Show all settings pages"},
|
||
{"id":"component-5595","label":"Save model","localized":"","hint":"","ui":"models_current_tab"},
|
||
{"id":"component-5610","label":"Scan missing","localized":"","hint":"","ui":"models_metadata_tab"},
|
||
{"id":"component-5629","label":"Save receipe","localized":"","hint":"","ui":"models_loader_tab"},
|
||
{"id":"","label":"Simple Merge","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Style","localized":"","hint":"Additional styles to be applied on selected generation parameters"},
|
||
{"id":"","label":"SD 1.5","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"","label":"SD XL","localized":"","hint":"","ui":"component-98"},
|
||
{"id":"gpu_start","label":"Start","localized":"","hint":""},
|
||
{"id":"txt2img_styles_select","label":"Select","localized":"","hint":"","ui":"tab_txt2img"},
|
||
{"id":"","label":"Size","localized":"","hint":"","ui":"tab_video"},
|
||
{"id":"","label":"Size & Batch","localized":"","hint":"Image size and batch","ui":"txt2img"},
|
||
{"id":"","label":"Seed","localized":"","hint":"Initial seed and variation","ui":"txt2img"},
|
||
{"id":"","label":"Script","localized":"","hint":"Additional scripts to be used","ui":"txt2img"},
|
||
{"id":"","label":"Stable Diffusion 3.x","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"SDNQ: SD.Next Quantization","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Save Options","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Startup & Server Options","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"SeedVR","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Styles","localized":"","hint":"Additional styles to be applied on selected generation parameters","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Search & Download","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"Server log","localized":"","hint":""},
|
||
{"id":"","label":"Steps","localized":"","hint":"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results","ui":"txt2img"},
|
||
{"id":"","label":"Sampling method","localized":"","hint":"Which algorithm to use to produce the image","ui":"txt2img"},
|
||
{"id":"","label":"Show samplers in user interface","localized":"","hint":"Select favorite samplers to show in generated dropdowns. Leave empty to show all samplers. Restart the UI after changing this setting.","ui":"settings_sampler"},
|
||
{"id":"","label":"Show upscalers in user interface","localized":"","hint":"Select favorite upscalers to show in generated dropdowns. Leave empty to show all upscalers. Restart the UI after changing this setting.","ui":"settings_sampler"},
|
||
{"id":"","label":"Sigma method","localized":"","hint":"Controls how noise levels (sigmas) are distributed across diffusion steps.<br><b>Default</b>: use the scheduler's built-in sigma method.<br><b>Karras</b>: smoother schedule that emphasizes later steps where fine details emerge; generally higher quality with fewer steps.<br><b>Betas</b>: derive sigmas directly from the model's beta schedule (classic <i>DDPM</i> behavior).<br><b>Exponential</b>: exponential decay of noise across steps; aggressive denoising early, slower refinement later.<br><b>Lambdas</b>: Lu's lambdas method from the <i>DPM-Solver</i> paper, specific to the <b>DPM++</b> family.<br><b>Flowmatch</b>: sigma schedule tuned for flow-matching models (<i>Flux</i>, <i>SD3</i>, video models).","ui":"txt2img"},
|
||
{"id":"","label":"Sigma adjust","localized":"","hint":"Multiplier applied to the sampler's step size during the active timestep window. (Sigma is the amount of noise the sampler removes at each step.)<br>Values below 1.0 shrink the step for smoother, more conservative denoising. Values above 1.0 enlarge it for sharper, more aggressive sampling.<br><br>Default 1.0 disables the adjustment entirely. Use Adjust start and Adjust end to define the timestep range where the multiplier takes effect.","ui":"txt2img"},
|
||
{"id":"","label":"Sampler order","localized":"","hint":"Overrides the solver order of the active sampler when set above 0.<br>Higher orders use more historical steps per update for greater stability and accuracy at the cost of extra compute. Lower orders are faster but noisier.<br><br>Default 0 leaves each sampler at its built-in order. Many samplers in the dropdown already encode their order in the name (e.g. <b>DPM++ 2M</b> is order 2, <b>DPM++ 3M</b> is order 3, <b>DPM++ 2M SDE</b> is order 2).<br><br>Within a sampler family, the named variants differ ONLY by this value, so picking <b>DPM++ 2M</b> with the slider at 3 produces a scheduler that is functionally identical to picking <b>DPM++ 3M</b> with the slider at 0. The same equivalence holds across the rest of the <b>DPM++</b> multistep family (including the SDE and Inverse variants) and across the <b>ER-SDE</b> family.<br><br>Samplers without a configurable solver order (<b>DDIM</b>, plain <b>Euler</b>, ancestrals, etc.) ignore this slider entirely.","ui":"txt2img"},
|
||
{"id":"","label":"SLG scale","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SLG start","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SLG stop","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SLG layers","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SLG config","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG scale","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG blur sigma","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG blur threshold inf","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG start","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG stop","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG layers","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"SEG config","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Strength","localized":"","hint":"Denoising strength of during image operation controls how much of original image is allowed to change during generate","ui":"txt2img"},
|
||
{"id":"","label":"Sort detections","localized":"","hint":"Process detected regions left-to-right (by bounding box X position) instead of in detection-score order.<br>Improves consistency when the prompt assigns different traits to different subjects in a multi-line prompt: prompts are mapped per detection in order, so a stable left-to-right order makes line 1 always go to the leftmost subject.<br><br>Default off.","ui":"txt2img"},
|
||
{"id":"","label":"Saturation","localized":"","hint":"Controls color intensity.<br>Positive values make colors more vivid, negative values desaturate toward grayscale.<br><br>At -1.0 the image becomes fully monochrome.","ui":"txt2img"},
|
||
{"id":"","label":"Sharpness","localized":"","hint":"Enhances edge detail and fine textures.<br>Higher values produce crisper edges but may amplify noise or artifacts if pushed too far.<br><br>Set to 0 to disable. Operates via an unsharp mask kernel.","ui":"txt2img"},
|
||
{"id":"","label":"Shadows","localized":"","hint":"Adjusts the brightness of shadow (dark) regions.<br>Positive values lift shadows to reveal detail, negative values deepen them.<br><br>Operates on the L channel in Lab color space using a luminance-weighted mask, leaving highlights and midtones largely unaffected.","ui":"txt2img"},
|
||
{"id":"","label":"Shadows tint","localized":"","hint":"Color to blend into shadow regions for split toning.<br>Works together with Highlights tint and Split tone balance to create cinematic color grading looks.<br><br>Default black (#000000) applies no tint.","ui":"txt2img"},
|
||
{"id":"","label":"Split tone balance","localized":"","hint":"Controls the crossover point between shadow and highlight tinting.<br>Values below 0.5 extend the shadow tint into midtones. Values above 0.5 extend the highlight tint into midtones.<br><br>Default 0.5 splits evenly at the midpoint.","ui":"txt2img"},
|
||
{"id":"","label":"Subject","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Same latent","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Share queries","localized":"","hint":"","ui":"script_consistory"},
|
||
{"id":"","label":"Sigma","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"Stride","localized":"","hint":"","ui":"script_demofusion"},
|
||
{"id":"","label":"Structure","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Save HDR image","localized":"","hint":"","ui":"script_hdr"},
|
||
{"id":"","label":"Scale factor","localized":"","hint":"","ui":"script_kohya_hires_fix"},
|
||
{"id":"","label":"Strength curve","localized":"","hint":"","ui":"script_loopback"},
|
||
{"id":"","label":"Slider","localized":"","hint":"","ui":"script_pixelsmith"},
|
||
{"id":"","label":"Set at prompt start","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"space","localized":"","hint":"","ui":"script_prompt_matrix"},
|
||
{"id":"","label":"Skip guidance layers","localized":"","hint":"","ui":"script_slg"},
|
||
{"id":"","label":"Shared options","localized":"","hint":"","ui":"script_style_aligned_image_generation"},
|
||
{"id":"","label":"Shift","localized":"","hint":"","ui":"script_style_aligned_image_generation"},
|
||
{"id":"","label":"Spatial frequency","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Save as copy","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"Sensitivity","localized":"","hint":"","ui":"script_nudenet"},
|
||
{"id":"","label":"System prompt","localized":"","hint":"System prompt controls behavior of the LLM. Processed first and persists throughout conversation. Has highest priority weighting and is always appended at the beginning of the sequence.<br><br>Use for: Response formatting rules, role definition, style.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Source subject","localized":"","hint":"","ui":"script_blip_diffusion"},
|
||
{"id":"","label":"Smooth mask","localized":"","hint":"","ui":"script_ledits"},
|
||
{"id":"","label":"Scale after","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Scale mask","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Show input","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Show preview","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Separate init image","localized":"","hint":"Creates an additional window next to Control input labeled Init input, so you can have a separate image for both Control operations and an init source.","ui":"control"},
|
||
{"id":"","label":"Skip input processing","localized":"","hint":"Bypasses the active control processor and feeds the raw input image directly to the pipeline.<br>Use when you have already preprocessed the image externally (depth map, canny edges, openpose skeleton, etc.) and don't want SD.Next to re-run the processor on it.<br>The input still routes through any selected <i>ControlNet</i>/<i>T2I-Adapter</i>/etc. model, just without the preprocessing step.<br><br>Default off.","ui":"control"},
|
||
{"id":"","label":"Skip input frames","localized":"","hint":"Number of input frames to skip between each processed frame when the input is a video.<br>Use to thin out long source videos: only every (N+1)-th frame is processed and the rest are dropped.<br><br>Set to <b>0</b> to process every frame. Set to <b>1</b> to process every other frame, <b>2</b> for every third, and so on.<br>Default 0.","ui":"control"},
|
||
{"id":"","label":"Style fidelity","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Scribble","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Score threshold","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Sampler shift","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Save output","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"Show result images","localized":"","hint":"Enable to show the processed images in the image pane","ui":"extras"},
|
||
{"id":"","label":"Save Caption Files","localized":"","hint":"Save generated captions to .txt files alongside the images.<br>Each image gets a matching caption file with the same base name.","ui":"caption"},
|
||
{"id":"","label":"Sort alphabetically","localized":"","hint":"Sort tags alphabetically instead of by confidence score.<br>When disabled, tags are sorted by confidence (highest first).<br>Alphabetical sorting makes it easier to find specific tags.","ui":"caption"},
|
||
{"id":"","label":"Show confidence scores","localized":"","hint":"Display confidence scores alongside each tag.<br>Shows how certain the model is about each tag (0.0 to 1.0).<br>Useful for understanding which tags are most reliable.","ui":"caption"},
|
||
{"id":"","label":"Search","localized":"","hint":"","ui":"component-8724"},
|
||
{"id":"","label":"Sort by","localized":"","hint":"","ui":"component-8724"},
|
||
{"id":"","label":"Specific branch name","localized":"","hint":"Specify extension branch name, leave blank for default","ui":"component-8746"},
|
||
{"id":"","label":"Submodules","localized":"","hint":"","ui":"tab_update"},
|
||
{"id":"","label":"Server start time","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"State","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Search Docs","localized":"","hint":"","ui":"system_tab_docs"},
|
||
{"id":"","label":"Search GitHub Wiki Pages","localized":"","hint":"","ui":"system_tab_wiki"},
|
||
{"id":"","label":"Search Changelog","localized":"","hint":"","ui":"system_tab_changelog"},
|
||
{"id":"","label":"Stage boundary ratio","localized":"","hint":"Timestep fraction at which the Wan 2.2 A14B mixture-of-experts hands off from the high-noise expert (coarse layout and motion) to the low-noise expert (detail and refinement). Lower values keep the high-noise expert running longer; values that are too low leave the result under-refined.<br><br>-1 uses the boundary the checkpoint shipped with and is recommended; 0 to 1 set it explicitly. Affects the combined stage only.<br>Default -1.","ui":"settings_model_options"},
|
||
{"id":"","label":"sequential","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"SVD rank size","localized":"","hint":"Rank of the low-rank correction added by <b><i>Use SVD quantization</i></b>. Higher ranks recover more accuracy but add parameters and compute.<br><br>Applies only when <b><i>Use SVD quantization</i></b> is enabled.<br><br>Default is <b>32</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"SVD steps","localized":"","hint":"Number of iterations used to estimate the low-rank correction for <b><i>Use SVD quantization</i></b>. More steps refine the estimate at the cost of longer quantization.<br><br>Applies only when <b><i>Use SVD quantization</i></b> is enabled.<br><br>Default is <b>8</b>.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Shuffle weights in post mode","localized":"","hint":"In <b>post</b> quantization mode, processes model components through the GPU one at a time, moving each off the GPU before the next, to limit peak VRAM during quantization.<br><br>Applies only when <b><i>Quantization mode</i></b> is <b>post</b>.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"SDXL: Use weighted pooled embeds","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Sana: Use complex human instructions","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Scaled-Dot-Product","localized":"","hint":"Memory optimization. Non-Deterministic unless SDP memory attention is disabled.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sage attention","localized":"","hint":"Experimental attention optimization method. May improve speed but less tested and can cause bugs.","ui":"settings_cuda"},
|
||
{"id":"","label":"stable-fast","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"Save all generated images","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save interrupted images","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save all generated image grids","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Show metadata in full screen image browser","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save init images","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save image before hires","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save image before refiner","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save image before detailer","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save image before color correction","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save inpainting mask","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save inpainting masked composite","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Save images to a subdirectory","localized":"","hint":"","ui":"settings_saving-paths"},
|
||
{"id":"","label":"Save metadata in image","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"Save metadata to text file","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"Save metadata to JSON file","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"System information to include in metadata","localized":"","hint":"","ui":"settings_image-metadata"},
|
||
{"id":"","label":"Standard","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Show MOTD","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"sidebar","localized":"","hint":"sidebar on the right side of the screen","ui":"settings_ui"},
|
||
{"id":"","label":"Show log view","localized":"","hint":"Show log view at the bottom of the main window","ui":"settings_ui"},
|
||
{"id":"","label":"Show grid in results","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Send seed when sending prompt or image to other interface","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Send size when sending prompt or image to another interface","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Show labels for aside tabs","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Show labels for main tabs","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Show labels for page tabs","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Show ticks for input range slider","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Show parameter outline","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Simple","localized":"","hint":"Very cheap approximation. Very fast compared to VAE, but produces pictures with 8 times smaller horizontal/vertical resolution and extremely low quality","ui":"settings_live-preview"},
|
||
{"id":"","label":"SeedVR CFG Scale","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Sort order","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Skip CivitAI scan for regex pattern(s)","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Show reference styles","localized":"","hint":"Show or hide build-it styles","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Skip Generation if NaN found in latents","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Save grids to a subdirectory","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Show live previews","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Save resumable optimizer state when training","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Save training settings to a text file","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Show previews as a grid","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Show progressbar","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Save generated images within tensorboard","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Save loss CSV file every n steps","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Save images to a subdirectory when using Save button","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Secondary model","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"SDXL","localized":"","hint":"StableDiffusion XL","ui":"component-5660"},
|
||
{"id":"","label":"Save metadata","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"safetensors","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"shuffle","localized":"","hint":"Loads full model in RAM and calculates on VRAM: Less speedup, suggested for <i>SDXL</i> merges","ui":"models_merge_tab"},
|
||
{"id":"","label":"Save diffusers","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Save safetensors","localized":"","hint":"","ui":"models_replace_tab"},
|
||
{"id":"","label":"Sort","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"Sort downloads into subfolders","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"Subfolder template","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"Search models","localized":"","hint":"","ui":"models_huggingface_tab"},
|
||
{"id":"","label":"Select model","localized":"","hint":"","ui":"models_huggingface_tab"},
|
||
{"id":"","label":"Specify model variant","localized":"","hint":"","ui":"models_huggingface_tab"},
|
||
{"id":"","label":"Semantic threshold","localized":"","hint":"Semantic threshold for text similarity filtering when process words are present. Higher values make the filter more strict, requiring a closer match between. Lower values allow more leniency. Default is disabled.","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Specify model revision","localized":"","hint":"","ui":"models_huggingface_tab"},
|
||
{"id":"","label":"SegmentAnything","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Sections","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Samplers","localized":"","hint":"Samplers/schedulers advanced settings","ui":"tab_txt2img"},
|
||
{"id":"","label":"SDP kernels","localized":"","hint":"Which of torch's built-in attention kernels torch is allowed to choose from. These are permissions rather than a selection: torch picks one per call from whatever is left enabled, preferring <b>Flash</b>, dropping to <b>Memory</b> for calls flash cannot serve such as those carrying an arbitrary attention mask, and to <b>Math</b> when neither fits. Clearing a box removes a candidate; it never pins the remaining one to every call.<br><br><b>Flash</b> is torch's own build of the FlashAttention kernel. It is not the same thing as the <b>Flash attention</b> entry in <b><i>SDP overrides</i></b>, which calls the separately installed flash-attn package and bypasses torch entirely.<br><b>Memory</b> is the memory-efficient kernel, which accepts arbitrary masks that flash does not.<br><b>Math</b> is the unfused reference path, the widest in what it accepts and the least optimized. Leaving it enabled keeps a fallback for calls the other two decline.<br><br>Applies while <b><i>Attention method</i></b> is <b>Scaled-Dot-Product</b>, and continues to govern the calls that an enabled override declines.<br><br>All three by default. ZLUDA starts with <b>Math</b> alone.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDP overrides","localized":"","hint":"Replaces torch attention with another implementation. Each entry declares the shapes, dtypes and mask conditions it can serve; a call that fails them moves to the next entry and finally back to torch, so several can be enabled together and the chain resolves per call.<br><br><b>Flash attention</b> installs and calls the flash-attn package directly, for calls with no attention mask, half precision inputs and a head dimension of 128 or less.<br><b>Sage attention</b> computes attention with quantized matmuls, for head dimensions of 64, 96 or 128 and no attention mask.<br><b>SDNQ attention</b> is SD.Next's own quantized Triton kernel, configured in the section below. It takes attention masks, which the other quantized backends do not, and it is one of the two backends <b><i>Sparse Attention</i></b> can drive.<br><b>Flex attention</b> uses torch's compiled flex_attention, the other backend <b><i>Sparse Attention</i></b> can drive.<br><b>Dynamic attention</b> slices attention to fit available memory and serves every call the others decline, standing in for the torch fallback.<br><b>Triton AMD Flash attention</b> is a Triton implementation for ROCm and ZLUDA, listed only on those backends.<br><br>The quantized and compiled backends trade some numerical accuracy for throughput. How much of each arrives depends on the model, the sequence length and the GPU, so comparing them on the actual workload settles it faster than picking by reputation.<br><br>None by default on CUDA. ZLUDA, CPU and MPS start with <b>Dynamic attention</b>, as do ROCm GPUs older than RDNA3.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention","localized":"","hint":"Settings for the <b>SDNQ attention</b> entry in <b><i>SDP overrides</i></b>. They do nothing until that override is enabled.<br><br>The kernel quantizes the two matmuls inside attention, computing them on lower precision operands and rescaling the result. It is written in Triton, so it needs a working Triton for the active device.<br>It takes an attention mask and a block mask together, which is what lets <b><i>Sparse Attention</i></b> use it.<br>Short sequences and single-head calls are left to the rest of the chain, so text encoders and the VAE keep ordinary attention.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention use Smooth K","localized":"","hint":"Subtracts the mean of the keys before quantizing them. Keys carry a large offset that is shared across the sequence, which spends most of the quantized range representing a value identical for every key and leaves little of it for the differences that decide the attention.<br>Softmax ignores a constant shift applied to every score in a row, so removing that offset changes the quantization error and not the attention.<br><br>Costs one mean and one subtraction per call.<br>Enabled by default.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention use Hadamard","localized":"","hint":"Rotates queries and keys by a Hadamard transform before quantizing them. The rotation spreads a few oversized channels across all of them, which is the error shape quantization handles worst. The transform is orthogonal, so the scores it produces are the ones the unrotated tensors would produce, minus the quantization error it removes.<br>With <b><i>SDNQ Attention PV MatMul type</i></b> also set, the values are rotated as well and the output is rotated back.<br><br>Costs a rotation pass on every attention call, so it is worth enabling where a model shows quantization artifacts without it.<br>Idle while <b><i>SDNQ Attention MatMul type</i></b> is <b>disabled</b>, since nothing is quantized then.<br><br>Disabled by default.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention use FP16 Accumulation","localized":"","hint":"Accumulates the floating point matmuls in fp16 rather than fp32. Some tensor cores run fp16 accumulation at a higher rate than fp32, and on those the kernel is cheaper for it.<br>Operands are pre-scaled to keep products inside the fp16 range, which covers ordinary activations with less headroom than fp32 leaves.<br><br>Reaches the parts of the kernel that run in floating point. An int8 matmul accumulates in int32 and is unaffected, so at the default <b><i>SDNQ Attention MatMul type</i></b> this applies to the probability-value matmul alone.<br><br>Disabled by default.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention MatMul type","localized":"","hint":"Precision the query-key matmul is computed in, the first of the two matmuls in attention.<br><br><b>enabled</b> selects int8, and <b>int8</b> and <b>uint8</b> reach the same kernel.<br><b>float16</b> and <b>float8_e4m3fn</b> take the floating point path. fp8 needs a GPU with fp8 tensor cores and fails on hardware without them rather than falling back.<br><b>disabled</b> leaves queries and keys in the model's own precision, which also idles <b><i>SDNQ Attention use Smooth K</i></b> and <b><i>SDNQ Attention use Hadamard</i></b>.<br><br>Default enabled.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention PV MatMul type","localized":"","hint":"Precision the probability-value matmul is computed in, the second of the two matmuls in attention. Choices match <b><i>SDNQ Attention MatMul type</i></b>.<br><br>Quantizing this one as well takes out the floating point work the first setting leaves behind, and it is the more delicate of the two: its inputs are already normalized probabilities, and the small ones among them carry the fine detail.<br><b>disabled</b> keeps this matmul in the model's own precision.<br><br>Default disabled.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention Hadamard Group Size","localized":"","hint":"Width of the Hadamard rotation in channels. Wider groups mix more channels together and spread outliers further.<br><br>Clamped to the head dimension of the running model, rounded down to a power of two that divides it. On a model with 64 or 128 channels per head the upper part of this range resolves to that head dimension rather than to the number shown. Rotation is skipped below 4.<br>Applies while <b><i>SDNQ Attention use Hadamard</i></b> is enabled.<br><br>Default 256.","ui":"settings_cuda"},
|
||
{"id":"","label":"SDNQ Attention Quantize FP32","localized":"","hint":"Upcasts queries, keys and values to fp32 for the quantization step, meaning the mean subtraction, scale and rounding that produce the low precision operands. The matmuls themselves are unaffected, and the kernel applies the scales in fp32 either way.<br>Turned off, that arithmetic runs in the model's own precision. bf16 carries eight mantissa bits, so a scale derived in it is coarser than one derived in fp32, and <b><i>SDNQ Attention use Smooth K</i></b> loses the most from it, since a mean across the whole sequence is exactly the kind of sum that wants the extra bits.<br><br>Whether the upcast costs anything depends on how the GPU runs fp32 vector work against fp16 and bf16. NVIDIA and AMD run them at the same rate here, so there is nothing to save; Intel runs fp32 slower and takes a noticeable hit.<br><br>Enabled by default.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention","localized":"","hint":"Computes attention over a subset of the key tiles instead of all of them. Attention cost grows with the square of the sequence length, so on long sequences it dominates generation time, and skipping the tiles that contribute least buys much of it back.<br>The saving grows with sequence length: negligible on a short sequence, useful at high resolution, largest on video.<br><br>Requires an attention backend that accepts a block mask, <b>SDNQ attention</b> or <b>Flex attention</b> in <b><i>SDP overrides</i></b>; with neither enabled a warning is logged and attention stays dense. It also stays dense below <b><i>Sparse Attention minimum sequence</i></b>.<br>Not every architecture tolerates a reduced key set. The ones known to break are listed in <b><i>Sparse Attention excluded models</i></b> and stay dense; a model that breaks up rather than merely softening belongs on that list.<br><br>Disabled by default.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention KV budget","localized":"","hint":"Percentage of the eligible key tiles each query tile keeps. Lower budgets are faster and coarser, and the cost shows first in fine detail and in consistency across the image.<br>Text, conditioning and audio tokens are always kept, as are the tiles on the diagonal, so the budget applies only to the bulk image or video tokens.<br><br><b>100</b> keeps every tile, which is ordinary dense attention and a convenient comparison run.<br>Default 30.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention minimum sequence","localized":"","hint":"Shortest sequence that is sparsified. Below it attention stays dense, because choosing the tiles costs more than skipping them saves.<br>Sequence length is not resolution: a diffusion transformer sees roughly (width/16) x (height/16) tokens for an image, so 1024x1024 is about 4k tokens and 2048x2048 about 16k, and video multiplies that by the frame count.<br><br><b>0</b> sparsifies every sequence that reaches the stage.<br>Default 8192, around 1450x1450 for an image.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention dense steps","localized":"","hint":"Number of steps at the start and end of sampling that receive a larger budget, where composition and fine detail are set. Counted at each end, and capped at half the run.<br><br>Only takes effect when <b><i>Sparse Attention dense step bonus</i></b> is above 0.<br><b>0</b> applies one budget to every step.<br>Default 0.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention dense step bonus","localized":"","hint":"Percentage points added to the budget on the dense steps, capped at 100.<br><br>Only takes effect when <b><i>Sparse Attention dense steps</i></b> is above 0.<br>Default 30, so a budget of 30 rises to 60 on those steps.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention share selection across heads","localized":"","hint":"Computes one selection for all attention heads rather than one per head, by averaging the heads before scoring. Cheaper to select and coarser in what it keeps, since heads that attend to different regions are served by a single compromise.<br>Worth trying when selection is itself a visible share of the cost, which happens on models with many heads.<br>Also the first thing to try when a model breaks up into bands under sparse attention: some architectures need every head to see one consistent context, and per-head selection is what breaks them.<br><br>Disabled by default.","ui":"settings_cuda"},
|
||
{"id":"","label":"Sparse Attention excluded models","localized":"","hint":"Models that stay dense no matter how the rest of this section is set. Comma separated, matched case insensitively against the architecture, the pipeline class and the denoiser class, so whichever of those names is to hand works as an entry.<br>The class names appear in the model load log; the architecture is the short name used elsewhere in the settings, such as <b>f1</b> or <b>anima</b>.<br><br>Listed by default is <b>CosmosTransformer3DModel</b>, the transformer Anima runs, which collapses into banded noise when each head selects its own tiles and stays degraded even with <b><i>Sparse Attention share selection across heads</i></b> enabled. The class is listed rather than the architecture because the other models built on it have not been checked.<br>A model whose output breaks up rather than merely softening belongs here.<br><br>Default <b>CosmosTransformer3DModel</b>.","ui":"settings_cuda"}
|
||
],
|
||
"t": [
|
||
{"id":"txt2img_nav","label":"T2I","localized":"","hint":"Create image from text<br>Legacy interface that mimics original text-to-image interface and behavior"},
|
||
{"id":"","label":"T2I Adapter","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Tagger","localized":"","hint":"Tag images using anime-focused classification models like WaifuDiffusion or DeepBooru.","ui":"caption"},
|
||
{"id":"btn_wd_tag","label":"Tag","localized":"","hint":"","ui":"caption"},
|
||
{"id":"","label":"Tag Autocomplete","localized":"","hint":"Suggests matching tags from booru and other dictionaries as you type in prompt fields.<br>Use the refresh button to fetch the list of available dictionaries, then select which ones to enable.","ui":"script_autocomplete"},
|
||
{"id":"","label":"Text Encoder","localized":"","hint":"Settings related to text encoder and prompt encoding processing during generate"},
|
||
{"id":"","label":"Text","localized":"","hint":"Create image from text"},
|
||
{"id":"","label":"TorchAO","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"TensorRT","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Torch Options","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"Token Merging","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"TeaCache","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"Theme options","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Task History","localized":"","hint":""},
|
||
{"id":"","label":"Tone","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Timestep spacing","localized":"","hint":"Determines how timesteps are spaced across the diffusion process. Options:<br>- <b>default</b>: the model default<br>- <b>leading</b>: creates evenly spaced steps<br>- <b>linspace</b>: includes the first and last steps and evenly selects the remaining intermediate steps<br>- <b>trailing</b>: only includes the last step and evenly selects the remaining intermediate steps starting from the end","ui":"txt2img"},
|
||
{"id":"","label":"Timesteps presets","localized":"","hint":"Picks a hand-tuned timestep schedule and writes it into Timesteps override.<br>'AYS SD15' and 'AYS SDXL' load the Align Your Steps schedules optimized for those base models, both 10 steps long. Selecting one of these effectively forces the generation to run at exactly 10 steps regardless of the main Steps slider, which is intended: AYS produces results comparable to 30+ step traditional sampling at this length.<br><br>Use the SD15 preset for <i>SD 1.x</i> checkpoints and the SDXL preset for <i>SDXL</i>-based checkpoints. The AYS schedules are not appropriate for flow-matching models (<i>Flux</i>, <i>SD3</i>) or other architectures.<br><br>Set to None to clear the override.<br>No preset by default.","ui":"txt2img"},
|
||
{"id":"","label":"Timesteps override","localized":"","hint":"Comma- or space-separated list of integer timesteps in the 0-999 range, listed from highest (most noisy) to lowest (cleanest). When set, this list completely replaces the scheduler's normal timestep schedule and forces the step count to match the list length, ignoring the main Steps slider.<br><br>Requires at least 3 values to take effect; shorter inputs are silently ignored. Not all samplers support arbitrary timestep injection. If the active sampler doesn't, a warning is logged and the override is skipped. Selecting a preset from Timesteps presets fills this field automatically.<br><br>Useful for advanced users experimenting with custom schedules. Most users should leave this blank.<br><br>Clear the field to disable.<br>Empty by default.","ui":"txt2img"},
|
||
{"id":"","label":"thresholding","localized":"","hint":"Enables dynamic thresholding. At each step the predicted clean image is clipped so its values stay within the model's trained range, which suppresses saturation and washed-out colors at high guidance.<br><br>Most useful for <i>SD 1.x</i> and <i>SD 2.x</i> at high CFG (>10). Generally not helpful for <i>SDXL</i> or flow-matching models, which already handle high CFG gracefully.<br><br>Applies to <b>DPM++</b> family, <b>UniPC</b>, <b>DDIM</b>, <b>DEIS</b>, <b>SA Solver</b>, and <b>DC Solver</b>. Recommended to leave off unless you see saturation artifacts.<br><br>Disabled by default.","ui":"txt2img"},
|
||
{"id":"","label":"Tint strength","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Texture tiling","localized":"","hint":"Apply seamless tiling to generated image so it can be used as a texture","ui":"txt2img"},
|
||
{"id":"","label":"Threshold","localized":"","hint":"","ui":"script_apg"},
|
||
{"id":"","label":"Trigger word","localized":"","hint":"","ui":"script_face"},
|
||
{"id":"","label":"Temperature","localized":"","hint":"","ui":"script_flux_prompt_enhance_(legacy)"},
|
||
{"id":"","label":"Timestep","localized":"","hint":"","ui":"script_kohya_hires_fix"},
|
||
{"id":"","label":"Tile prompt: x=1 y=1","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=1 y=2","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=1 y=3","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=1 y=4","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=2 y=1","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=2 y=2","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=2 y=3","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=2 y=4","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=3 y=1","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=3 y=2","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=3 y=3","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=3 y=4","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=4 y=1","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=4 y=2","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=4 y=3","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Tile prompt: x=4 y=4","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Temporal frequency","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Top-K","localized":"","hint":"Limits token selection to the K most likely candidates at each step.<br>Lower values (e.g., 40) make outputs more focused and predictable, while higher values allow more diverse choices.<br>Set to 0 to disable.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Top-P","localized":"","hint":"Selects tokens from the smallest set whose cumulative probability exceeds P (e.g., 0.9).<br>Dynamically adapts the number of candidates based on model confidence; fewer options when certain, more when uncertain.<br>Set to 1 to disable.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Thinking mode","localized":"","hint":"Enables thinking/reasoning, allowing the model to take more time to generate responses.<br>This can lead to more thoughtful and detailed answers, but will increase response time.<br>This setting affects both hybrid and thinking-only models, and in some may result in lower overall quality than expected. For thinking-only models like Qwen3-VL this setting might have to be combined with prefill to guarantee preventing thinking.<br><br>Models supporting this feature are marked with an icon.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Target subject","localized":"","hint":"","ui":"script_blip_diffusion"},
|
||
{"id":"","label":"Tool","localized":"","hint":"","ui":"script_flux_tools"},
|
||
{"id":"","label":"Textbox","localized":"","hint":"","ui":"script_ledits"},
|
||
{"id":"","label":"Tile overlap","localized":"","hint":"For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam","ui":"script_sd_upscale"},
|
||
{"id":"","label":"T2I Strength","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Time embedding mix","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Tiling options","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Tiny","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"True guidance","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Tile frames","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Task","localized":"","hint":"Changes which task the model will perform. Regular text prompts can be used when the task is set to <b>Use Prompt</b>.<br>When other options are selected, see the hint text inside an empty <b><i>Prompt</i></b> field for guidance.","ui":"caption"},
|
||
{"id":"","label":"Tagger Model","localized":"","hint":"Model to use for image tagging.<br><b>WaifuDiffusion</b> models (wd-*): Modern taggers with separate general and character thresholds.<br><b>DeepBooru</b>: Legacy tagger, uses only general threshold.","ui":"caption"},
|
||
{"id":"","label":"Torch","localized":"","hint":"","ui":"component-8779"},
|
||
{"id":"","label":"Transformers load using Run:ai streamer","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"Temporal steps","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"TE","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"true","localized":"","hint":"","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"Text encoder model","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Text encoder cache size","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"T5: Use shared instance of text encoder","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Tunable ops limit","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"ToMe","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"ToDo","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"ToMe token merging ratio","localized":"","hint":"Enable redundant token merging via tomesd for speed and memory improvements, 0=disabled","ui":"settings_advanced"},
|
||
{"id":"","label":"ToDo token merging ratio","localized":"","hint":"Enable redundant token merging via todo for speed and memory improvements, 0=disabled","ui":"settings_advanced"},
|
||
{"id":"","label":"TaylorSeer","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"TeaCache cache enabled","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"TeaCache L1 threshold","localized":"","hint":"","ui":"settings_advanced"},
|
||
{"id":"","label":"TAESD","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"TAESD variant","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"TAESD decode layers","localized":"","hint":"","ui":"settings_live-preview"},
|
||
{"id":"","label":"Tensorboard flush period","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Tertiary model","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"Time period","localized":"","hint":"","ui":"models_civitai_tab"},
|
||
{"id":"","label":"T2I-Adapter unit 1","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"T2I-Adapter unit 2","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"T2I-Adapter unit 3","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"T2I-Adapter unit 4","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"u": [
|
||
{"id":"prompt_enhance_unload","label":"Unload model","localized":"","hint":"Unload currently loaded model","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Upload","localized":"","hint":"","ui":"img2img"},
|
||
{"id":"vlm_unload","label":"Unload","localized":"","hint":"","ui":"caption"},
|
||
{"id":"component-8739","label":"Update all installed","localized":"","hint":"Update installed extensions to their latest available version","ui":"component-8724"},
|
||
{"id":"","label":"Update","localized":"","hint":""},
|
||
{"id":"","label":"User interface","localized":"","hint":"Review and set user interface preferences"},
|
||
{"id":"component-5611","label":"Update all","localized":"","hint":"","ui":"models_metadata_tab"},
|
||
{"id":"","label":"UNet/DiT","localized":"","hint":""},
|
||
{"id":"","label":"Upscale","localized":"","hint":"Upscale image","ui":"extras"},
|
||
{"id":"","label":"Upscaler list filtered","localized":"","hint":"This list only shows upscalers selected in <b><i>Sampler Settings</i></b>. Select to open settings.","ui":"txt2img"},
|
||
{"id":"","label":"UI Tabs","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Upscaling","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Use segmentation","localized":"","hint":"Use the model's pixel-precise segmentation mask as the inpaint mask instead of the rectangular bounding box.<br>Tighter mask means less unintended change around the detection (e.g., the inpaint stays on the face, not on the hair or background behind it). Better blending and smaller seams.<br><br>Requires a segmentation-capable model (filename usually contains <code>-seg</code>). Bounding-box-only models silently fall back to the rectangle.<br>Default off.","ui":"txt2img"},
|
||
{"id":"","label":"Use init image","localized":"","hint":"Decides whether the input image is also used as an init image for img2img-style modification.<br><b>No: Control only</b>: the input is used only by the active control processor (depth, canny, pose, etc.) to guide the model; the picture itself is built from scratch by the model. Standard <i>ControlNet</i> behavior.<br><b>1st: Same as control</b>: the control input doubles as the init image, so the model starts from your image and modifies it instead of building one from scratch. Useful for inpainting, restyling, or adding control guidance to img2img with a single source image.<br><b>2nd: Separate image</b>: opens an extra <b><i>Init input</i></b> pane next to <b><i>Control input</i></b> so you can supply different sources for control conditioning and img2img init.<br><br><b><i>Denoising strength</i></b> controls how far the result moves from the init image and only takes effect in the two init modes.<br>Default <b>No: Control only</b>.","ui":"control"},
|
||
{"id":"","label":"Unload adapter","localized":"","hint":"Unload IP adapter immediately after generate. Otherwise IP adapter will remain loaded for faster use in next generate process","ui":"txt2img"},
|
||
{"id":"","label":"Use same seed","localized":"","hint":"","ui":"script_prompts_from_file"},
|
||
{"id":"","label":"Use defaults","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Use text inputs","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Use random seeds","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Use vision","localized":"","hint":"Include input image when enhancing prompt.<br><br>Only available for vision-capable models, marked with icon.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Use samplers","localized":"","hint":"Enable to use sampling (randomly selecting tokens based on sampling methods like Top-k or Top-p) or disable to use greedy decoding (selecting the most probable token at each step).<br>Enabling makes outputs more diverse and creative but less deterministic.","ui":"script_prompt_enhance"},
|
||
{"id":"","label":"Unload after processing","localized":"","hint":"","ui":"script_instantir"},
|
||
{"id":"","label":"up","localized":"","hint":"","ui":"script_outpainting"},
|
||
{"id":"","label":"Upscaler","localized":"","hint":"Which pre-trained model to use for the upscaling process.","ui":"script_sd_upscale"},
|
||
{"id":"","label":"Units","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Unload processor","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Use spaces","localized":"","hint":"Replace underscores with spaces in tag output.<br>Some prompt systems prefer spaces between words (e.g., 'long hair') while others use underscores (e.g., 'long_hair').","ui":"caption"},
|
||
{"id":"","label":"Username","localized":"","hint":"","ui":"component-8823"},
|
||
{"id":"","label":"UNET model","localized":"","hint":"","ui":"settings_sd"},
|
||
{"id":"","label":"UNET model secondary","localized":"","hint":"Override for the second transformer of dual-transformer architectures:<br>- <b>Ideogram 4</b>: the unconditional transformer<br>- <b>Wan</b> combined stage: the second expert (transformer_2)<br><br>Shown only when the loaded model has a second transformer.<br>Default loads the component from the base model.","ui":"settings_sd"},
|
||
{"id":"","label":"Use SVD quantization","localized":"","hint":"Adds a low-rank (SVDQuant) correction on top of SDNQ to recover accuracy lost at low bit widths, at the cost of extra size and compute.<br>Tuned by <b><i>SVD rank size</i></b> and <b><i>SVD steps</i></b>.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Use Dynamic quantization","localized":"","hint":"Picks a per-layer weight type automatically instead of one type everywhere. Each layer starts at the <b><i>Quantization type</i></b> (the minimum) and steps up to higher precision until its error meets the <b><i>Dynamic loss threshold</i></b>.<br>Protects error-sensitive layers at the cost of a larger model and slower load.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Use Hadamard rotations","localized":"","hint":"Applies a Hadamard rotation before quantizing to spread out weight outliers, which can improve accuracy at low bit widths.<br>Group size is set by <b><i>Hadamard group size</i></b>.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Use quantized MatMul with conv","localized":"","hint":"Runs quantized matrix multiplication on convolutional layers, such as those in UNets like <i>SDXL</i>. This is the convolution counterpart of <b><i>Quantized MatMul type</i></b> and is controlled independently of it.<br><br>Only affects conv layers that are quantized, so it needs <b><i>Quantize convolutional layers</i></b>.<br><br>Disabled by default.","reload":"model","ui":"settings_quantization"},
|
||
{"id":"","label":"Use line break as prompt segment marker","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Use zeros for prompt padding","localized":"","hint":"Force full zero tensor when prompt is empty to remove any residual noise","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Upcast sampling","localized":"","hint":"Usually produces similar results to --no-half with better performance while using less memory","ui":"settings_cuda"},
|
||
{"id":"","label":"Unset","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"UI save only saves selected image","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Use image gallery cache","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Use fixed width thumbnails","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"UI theme","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"UI request timeout","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"UI locale","localized":"","hint":"","ui":"settings_ui"},
|
||
{"id":"","label":"Unload upscaler after processing","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Upscaler latent steps","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Upscaler tile size","localized":"","hint":"0 = no tiling","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Upscaler tile overlap","localized":"","hint":"Low values = visible seam","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Use cached model config when available","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"UI show on startup","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"UI sidebar width (%)","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"UI height (%)","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"UI fetch network info on mouse-over","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"Use reference values when available","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"id":"","label":"user","localized":"","hint":"","ui":"settings_extensions"},
|
||
{"id":"","label":"Upcast attention layer","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Use separate base dict","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Use model EMA weights when possible","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Use Kohya method for handling multiple LoRA","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"UI scripts order","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Use upscaler as suffix","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"Unload Current Model from VRAM","localized":"","hint":"","ui":"models_merge_tab"},
|
||
{"id":"","label":"unet","localized":"","hint":"","ui":"component-5851"},
|
||
{"id":"","label":"Upsample","localized":"","hint":"","ui":"video"}
|
||
],
|
||
"v": [
|
||
{"id":"video_nav","label":"Video","localized":"","hint":"Create videos using different methods<br>Supports text-to-image, image-to-image first-last-frame, etc."},
|
||
{"id":"video_params_outputs","label":"Video Params","localized":"","hint":"Settings related output video file encoding","ui":"video"},
|
||
{"id":"","label":"VLM Caption","localized":"","hint":"Analyze image using vision language model","ui":"caption"},
|
||
{"id":"","label":"Variational Auto Encoder","localized":"","hint":"Settings related to Variational Auto Encoder and image decoding process during generate"},
|
||
{"id":"","label":"Video Output","localized":"","hint":"","ui":"tab_video"},
|
||
{"id":"","label":"Variation","localized":"","hint":"Second seed to be mixed with primary seed","ui":"txt2img"},
|
||
{"id":"","label":"Variation strength","localized":"","hint":"How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something)","ui":"txt2img"},
|
||
{"id":"","label":"Vignette","localized":"","hint":"Applies radial edge darkening that draws focus toward the center of the image.<br>Higher values produce a stronger falloff from center to corners.<br><br>Set to 0 to disable. Simulates the natural light falloff seen in vintage and cinematic lenses.","ui":"txt2img"},
|
||
{"id":"","label":"VAE type","localized":"","hint":"Choose if you want to run full VAE, reduced quality VAE or attempt to use remote VAE service","ui":"txt2img"},
|
||
{"id":"","label":"Version","localized":"","hint":"","ui":"script_pulid"},
|
||
{"id":"","label":"Video format","localized":"","hint":"Container format and codec for the output video file.<br>Pick a format your downstream tools understand. <b>MP4/MP4V</b> is broadly compatible with most players and editors. Other choices trade off file size, quality, and player support.<br><br>Default MP4/MP4V.","ui":"script_video"},
|
||
{"id":"","label":"Video duration","localized":"","hint":"","ui":"script_video"},
|
||
{"id":"","label":"Video engine","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video model","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"VAE decode","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video interpolation","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video codec","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video options","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video save video","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video save frames","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video save safetensors","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"Video file","localized":"","hint":"","ui":"extras"},
|
||
{"id":"","label":"VLM Model","localized":"","hint":"Select which model to use for Visual Language tasks.<br><br>Models which support thinking mode are marked with an icon.","ui":"caption"},
|
||
{"id":"","label":"VLM Max Tokens","localized":"","hint":"Maximum number of tokens the model can generate in its response.<br>The model is not aware of this limit during generation and it won't make the model try to generate more detailed or more concise responses, it simply sets the hard limit for the length, and will forcefully cut off the response when the limit is reached.","ui":"caption"},
|
||
{"id":"","label":"VLM Num Beams","localized":"","hint":"Maintains multiple candidate paths simultaneously and selects the overall best sequence.<br>Like exploring several drafts at once to find the best one. More thorough but much slower and less creative than random sampling.<br>Generally not recommended, most modern VLMs perform better with sampling methods.<br>Set to 1 to disable.","ui":"caption"},
|
||
{"id":"","label":"VLM Temperature","localized":"","hint":"Controls randomness in token selection. Lower values (e.g., 0.1) make outputs more focused and deterministic, always choosing high-probability tokens.<br>Higher values (e.g., 0.9) increase creativity and diversity by allowing less probable tokens.<br><br>Set to 0 for fully deterministic output (always picks the most likely token).","ui":"caption"},
|
||
{"id":"","label":"VLM","localized":"","hint":"","ui":"caption"},
|
||
{"id":"","label":"VAE","localized":"","hint":"Variational Auto Encoder: model used to run image decode at the end of generate","ui":"settings_quantization"},
|
||
{"id":"","label":"VAE model","localized":"","hint":"VAE helps with fine details in the final image and may also alter colors","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"VAE slicing","localized":"","hint":"Decodes batch latents one image at a time with limited VRAM. Small performance boost in VAE decode on multi-image batches","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"VAE tiling","localized":"","hint":"Divide large images into overlapping tiles with limited VRAM. Results in a minor increase in processing time","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"VAE tile size","localized":"","hint":"","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"VAE tile overlap","localized":"","hint":"","ui":"settings_vae_encoder"},
|
||
{"id":"","label":"verbose","localized":"","hint":"","ui":"settings_compile"},
|
||
{"id":"","label":"VAE sliced encode","localized":"","hint":"","ui":"settings_legacy_options"},
|
||
{"id":"","label":"VGen params","localized":"","hint":"","ui":"script_video"}
|
||
],
|
||
"w": [
|
||
{"id":"","label":"Wiki","localized":"","hint":""},
|
||
{"id":"","label":"Wildcards","localized":"","hint":""},
|
||
{"id":"","label":"WanAI","localized":"","hint":"","ui":"settings_model_options"},
|
||
{"id":"","label":"Watermarking","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"Width","localized":"","hint":"Target width of the output image in pixels.<br>For generation, this sets the resolution the model produces. For resize and upscale operations, this is the width the input is fitted to.<br><br>Should be a multiple of 8 for <i>SD1.x</i> and <i>SDXL</i> latents; newer architectures (<i>Flux</i>, <i>SD3</i>, video models) may require higher multiples (16, 32, or 64). Values that don't match are automatically floored to the nearest valid multiple for the loaded model.","ui":"txt2img"},
|
||
{"id":"","label":"Weight","localized":"","hint":"","ui":"script_resadapter"},
|
||
{"id":"","label":"Width after","localized":"","hint":"Target width of the <b>output</b> image in pixels, applied <b>after</b> the model finishes generating (Post sub-tab in the Size accordion). Use this to upscale or downscale the final image before saving.<br><br>Should be a multiple of 8 for <i>SD1.x</i> and <i>SDXL</i> latents; newer architectures (<i>Flux</i>, <i>SD3</i>, video models) may require higher multiples (16, 32, or 64). Values that don't match are automatically floored to the nearest valid multiple for the loaded model.","ui":"control"},
|
||
{"id":"","label":"Width mask","localized":"","hint":"Target width of the input <b>mask</b> image in pixels (Mask sub-tab in the Size accordion). The mask is used for inpainting, outpainting, or as a control mask, and is resized so it aligns with the processing resolution.<br><br>Should be a multiple of 8 for <i>SD1.x</i> and <i>SDXL</i> latents; newer architectures (<i>Flux</i>, <i>SD3</i>, video models) may require higher multiples (16, 32, or 64). Values that don't match are automatically floored to the nearest valid multiple for the loaded model.","ui":"control"},
|
||
{"id":"","label":"WebP lossless compression","localized":"","hint":"","ui":"settings_saving-images"},
|
||
{"id":"","label":"wavelet","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Words to process","localized":"","hint":"List of newline, comma or semicolon separated words to process, each item can be a single word or a pair word:replacement in which case the model will be steered away from the word and towards the replacement","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Weights clip","localized":"","hint":"Forced merged weights to be no heavier than the original model, preventing burn in and overly saturated models","ui":"models_merge_tab"}
|
||
],
|
||
"x": [
|
||
{"id":"","label":"XS","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"X components","localized":"","hint":"","ui":"script_mixture_tiling"},
|
||
{"id":"","label":"X overlap","localized":"","hint":"","ui":"script_mixture_tiling"},
|
||
{"id":"","label":"X-axis tiles","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"X-axis tile overlap","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"X type","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"X values","localized":"","hint":"Separate values for X axis using commas","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"xhinker","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"xFormers","localized":"","hint":"Memory optimization. Non-Deterministic (different results each time)","ui":"settings_cuda"},
|
||
{"id":"","label":"xet","localized":"","hint":"","ui":"settings_huggingface"},
|
||
{"id":"","label":"XYZ Grid","localized":"","hint":"XYZ grid is a powerful module that create image grid based on varying multiple generation parameters","ui":"script_xyz_grid"}
|
||
],
|
||
"y": [
|
||
{"id":"","label":"Y components","localized":"","hint":"","ui":"script_mixture_tiling"},
|
||
{"id":"","label":"Y overlap","localized":"","hint":"","ui":"script_mixture_tiling"},
|
||
{"id":"","label":"Y-axis tiles","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Y-axis tile overlap","localized":"","hint":"","ui":"script_mixture-of-diffusers"},
|
||
{"id":"","label":"Y type","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Y values","localized":"","hint":"Separate values for Y axis using commas","ui":"script_xyz_grid_script"}
|
||
],
|
||
"z": [
|
||
{"id":"","label":"ZImageTurbo","localized":"","hint":"","ui":"component-106"},
|
||
{"id":"","label":"ZeroStar init steps","localized":"","hint":"","ui":"txt2img"},
|
||
{"id":"","label":"Zero","localized":"","hint":"","ui":"script_pulid"},
|
||
{"id":"","label":"Z type","localized":"","hint":"","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Z values","localized":"","hint":"Separate values for Z axis using commas","ui":"script_xyz_grid_script"},
|
||
{"id":"","label":"Zoe Depth","localized":"","hint":"","ui":"control"}
|
||
],
|
||
"reference": [
|
||
{"id":"","label":"All","localized":"","hint":"List all known models, both locally available models or reference models that are available for download"},
|
||
{"id":"","label":"Local","localized":"","hint":"List all local models that are immediately available for use"},
|
||
{"id":"","label":"Diffusers","localized":"","hint":"List local models in diffusers format that are immediately available for use."},
|
||
{"id":"","label":"Base","localized":"","hint":"List reference base models that can be automatically downloaded."},
|
||
{"id":"","label":"Distilled","localized":"","hint":"List reference distilled models that can be automatically downloaded. Distilled models are typically faster variants of the base models, but they may have reduced quality."},
|
||
{"id":"","label":"Quantized","localized":"","hint":"List reference quantized models that can be automatically downloaded. SDNQ quantized models are size-optimized variants of the base models, but they may have reduced precision."},
|
||
{"id":"","label":"Nunchaku","localized":"","hint":"List reference Nunchaku models that can be automatically downloaded on first use. Nunchaku quantized models are both size and performance optimized, but they require nVidia GPUs."},
|
||
{"id":"","label":"Community","localized":"","hint":"List reference community models that can be automatically downloaded on first use. Community models are fine-tunes of existing models, created by the community to enhance or modify specific features."},
|
||
{"id":"","label":"Cloud","localized":"","hint":"List reference cloud models that can be used without downloads. Cloud models typically require an API key from each specific cloud provider."}
|
||
]
|
||
}
|