mirror of
https://github.com/vladmandic/automatic
synced 2026-08-30 09:01:01 +02:00
CalamitousFelicitousness
0d49cf0f7e
Cover both display and insertion; cross-reference from the Keep @ hint.
1673 lines
216 KiB
JSON
1673 lines
216 KiB
JSON
{
|
||
"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"},
|
||
{"id":"","label":"2nd Scale","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"2nd Restart step","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"3rd Stage","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"3rd Scale","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"3rd Restart step","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"4th Stage","localized":"","hint":"","ui":"script_freescale"},
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||
{"id":"","label":"4th Scale","localized":"","hint":"","ui":"script_freescale"},
|
||
{"id":"","label":"4th Restart step","localized":"","hint":"","ui":"script_freescale"}
|
||
],
|
||
"_": [
|
||
{"id":"txt2img_styles_refresh","label":"⟲","localized":"","hint":"Refresh","ui":"txt2img"},
|
||
{"id":"txt2img_styles_apply","label":"↶","localized":"","hint":"Apply selected style to prompt","ui":"txt2img"},
|
||
{"id":"txt2img_styles_save","label":"↷","localized":"","hint":"Save current prompt to style","ui":"txt2img"},
|
||
{"id":"txt2img_res_btn_swap","label":"⇅","localized":"","hint":"Swap values","ui":"txt2img"},
|
||
{"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"},
|
||
{"id":"txt2img_guider_docs","label":"🕮","localized":"","hint":"Save parameters from last generated image as style template","ui":"txt2img"},
|
||
{"id":"txt2img_resize_detect_size","label":"📐","localized":"","hint":"Measure size from existing image","ui":"txt2img"},
|
||
{"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"},
|
||
{"id":"txt2img_caption_output","label":"","localized":"","hint":"Caption image","ui":"txt2img"},
|
||
{"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"},
|
||
{"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"},
|
||
{"id":"controlnet_unit-0-upload","label":"⬆️","localized":"","hint":"Upload image","ui":"control"},
|
||
{"id":"controlnet_unit-0-reset","label":"🔄","localized":"","hint":"Reset values","ui":"control"},
|
||
{"id":"controlnet_unit-0-preview","label":"🖼️","localized":"","hint":"Show preview","ui":"control"},
|
||
{"id":"video_model_load","label":"↺","localized":"","hint":"Immediately apply selection","ui":"video"},
|
||
{"id":"component-5878","label":"","localized":"","hint":"Sort by name, ascending","ui":"gallery"},
|
||
{"id":"component-5879","label":"","localized":"","hint":"Sort by name, descending","ui":"gallery"},
|
||
{"id":"component-5880","label":"","localized":"","hint":"Sort by size, ascending","ui":"gallery"},
|
||
{"id":"component-5881","label":"","localized":"","hint":"Sort by size, descending","ui":"gallery"},
|
||
{"id":"component-5882","label":"","localized":"","hint":"Sort by resolution, ascending","ui":"gallery"},
|
||
{"id":"component-5883","label":"","localized":"","hint":"Sort by resolution, descending","ui":"gallery"},
|
||
{"id":"component-5884","label":"","localized":"","hint":"Sort by time, ascending","ui":"gallery"},
|
||
{"id":"component-5885","label":"","localized":"","hint":"Sort by time, descending","ui":"gallery"},
|
||
{"id":"quicksettings_clear","label":"⊗","localized":"","hint":"Reset values"},
|
||
{"id":"docs_btn_search","label":"🔍","localized":"","hint":"Search","ui":"system_tab_docs"},
|
||
{"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 refiner 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":"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"},
|
||
{"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"},
|
||
{"id":"","label":"Apply noise","localized":"","hint":"","ui":"script_softfill"},
|
||
{"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"},
|
||
{"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"},
|
||
{"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"},
|
||
{"id":"","label":"Active","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Attention","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Adain","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Attention Adain","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Apply filter","localized":"","hint":"","ui":"control"},
|
||
{"id":"","label":"Alpha matting","localized":"","hint":"","ui":"extras"},
|
||
{"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"},
|
||
{"id":"","label":"a1111","localized":"","hint":"","ui":"settings_text_encoder"},
|
||
{"id":"","label":"Autocast","localized":"","hint":"Automatically determine precision during runtime","ui":"settings_cuda"},
|
||
{"id":"","label":"Auto","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Automatic server status monitor rate","localized":"","hint":"","ui":"settings_server"},
|
||
{"id":"","label":"Automatic server memory monitor rate","localized":"","hint":"","ui":"settings_server"},
|
||
{"id":"","label":"API base rate limit rate","localized":"","hint":"","ui":"settings_server"},
|
||
{"id":"","label":"accuracy","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"atiadlxx (AMD only)","localized":"","hint":"","ui":"settings_backends"},
|
||
{"id":"","label":"aot_ts_nvfuser","localized":"","hint":"","ui":"settings_compile"},
|
||
{"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"},
|
||
{"id":"","label":"Allowed aspect ratios","localized":"","hint":"","ui":"settings_ui"},
|
||
{"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"},
|
||
{"id":"","label":"Additional postprocessing operations","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"id":"","label":"Apply color correction","localized":"","hint":"","ui":"settings_postprocessing"},
|
||
{"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"}
|
||
],
|
||
"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":"","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":"Base","localized":"","hint":"Base settings used to run image generation","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":"Batch matrix-matrix","localized":"","hint":"Standard batched matrix multiplication for attention. Reliable but not VRAM-efficient.","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":"","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","localized":"","hint":"Comma-separated list of class names to keep when the selected detailer model is multi-class (e.g., a <i>YOLO</i> model that detects faces, eyes, and hands all in one file).<br>Only detections matching these labels are processed; everything else is dropped. Leave empty to accept all classes.<br><br>Names must match the model's class names exactly (case-insensitive). Single-class models like a face-only detector ignore this field.","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":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Dequantize using torch.compile","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Dequantize using full precision","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Disabled","localized":"","hint":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Dynamic Attention BMM","localized":"","hint":"Performs attention computation in steps instead of all at once. Slower inference times, but greatly reduced memory usage","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":"","ui":"settings_cuda"},
|
||
{"id":"","label":"Dynamic Attention trigger rate","localized":"","hint":"","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_extra_networks"},
|
||
{"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 after generation: 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.<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":"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":"","label":"Frames","localized":"","hint":"","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":"","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":"","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":"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":"Set image resolution before processing","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":"Inpaint masked only","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":"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 enable upsampling","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX upsample ratio","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX enable refine","localized":"","hint":"","ui":"video"},
|
||
{"id":"","label":"LTX refine 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":"","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_extra_networks"},
|
||
{"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_extra_networks"},
|
||
{"id":"","label":"LoRA native apply to text encoder","localized":"","hint":"","ui":"settings_extra_networks"},
|
||
{"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_extra_networks"},
|
||
{"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_extra_networks"},
|
||
{"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_extra_networks"},
|
||
{"id":"","label":"LoRA memory cache","localized":"","hint":"How many LoRAs to keep in network for future use before requiring reloading from storage","ui":"settings_extra_networks"},
|
||
{"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_extra_networks"},
|
||
{"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":"Image masking and mask options","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":"Settings related to model offloading and memory management"},
|
||
{"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>: skip resize, pass the image through unchanged.<br><b>Fixed</b>: force to target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scale to fully cover the target then center-crop the overflow, preserving aspect ratio.<br><b>Fill</b>: scale to fit inside the target then pad 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>: use seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions. Behavior is controlled by the Context dropdown next to this one.","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 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>: skip resize, pass the image through unchanged.<br><b>Fixed</b>: force to target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scale to fully cover the target then center-crop the overflow, preserving aspect ratio.<br><b>Fill</b>: scale to fit inside the target then pad 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>: use seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions. Behavior is controlled by the Context dropdown next to this one.","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>: skip resize, pass the mask through unchanged.<br><b>Fixed</b>: force to target width and height, distorting aspect ratio if they differ.<br><b>Crop</b>: scale to fully cover the target then center-crop the overflow, preserving aspect ratio.<br><b>Fill</b>: scale to fit inside the target then pad 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>: use seam-carving to add or remove pixels along smooth, featureless paths through the image (like sky or plain backgrounds), preserving the detailed regions. Behavior is controlled by the Context dropdown next to this one.","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":"","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 types not to offload","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Modules to always offload","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Modules to never offload","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Model types not to quantize","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Modules to not convert","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Modules dtype dict","localized":"","hint":"","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":"","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":"","ui":"settings_offload"},
|
||
{"id":"","label":"Offload during pre-forward","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Offload using streams","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Offload low watermark","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Offload GPU high watermark","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Offload CPU high watermark","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Offload blocks","localized":"","hint":"","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":"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":"Resize image after processing","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 mode","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization type","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantized MatMul type","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantization type for Text Encoders","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantized MatMul type for Text Encoders","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantize convolutional layers","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Quantize using GPU","localized":"","hint":"","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":"","label":"Reference","localized":"","hint":"List of reference models that can be automatically downloaded on first use","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":"Defines how the input is resized or adapted in second-pass refinement:<br>- <b>none</b>: no resizing, keep original resolution<br>- <b>fixed</b>: force resize to target resolution (may distort)<br>- <b>crop</b>: center-crop to fit target while keeping aspect ratio<br>- <b>fill</b>: resize to fit and pad empty space with borders<br>- <b>outpaint</b>: extend canvas beyond image borders<br>- <b>context aware</b>: smart resize that blends or adapts surrounding areas","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":"Record torch streams","localized":"","hint":"","ui":"settings_offload"},
|
||
{"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":"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":"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":"","ui":"settings_model_options"},
|
||
{"id":"","label":"sequential","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"SVD rank size","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"SVD steps","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Shuffle weights in post mode","localized":"","hint":"","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":"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"}
|
||
],
|
||
"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":"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":"Use torch streams","localized":"","hint":"","ui":"settings_offload"},
|
||
{"id":"","label":"Use SVD quantization","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Use Dynamic quantization","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Use quantized MatMul","localized":"","hint":"","ui":"settings_quantization"},
|
||
{"id":"","label":"Use quantized MatMul with conv","localized":"","hint":"","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":"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"}
|
||
]
|
||
}
|