mirror of
https://github.com/vladmandic/automatic
synced 2026-09-19 01:04:32 +02:00
update
This commit is contained in:
Vendored
+2
-1
@@ -4,5 +4,6 @@
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"./repositories/BLIP",
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"./repositories/CodeFormer",
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"./repositories/stable-diffusion-stability-ai"
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]
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],
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"python.analysis.typeCheckingMode": "off"
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}
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Submodule extensions-builtin/sd-extension-system-info updated: 16f27b45e5...c78c595051
Submodule extensions-builtin/seed_travel updated: 0a5c89796b...40205cb27e
Submodule extensions-builtin/stable-diffusion-webui-images-browser updated: 932e54dc0b...7eaa53ff32
+10
-7
@@ -607,13 +607,16 @@ def safe_decode_string(s: bytes):
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for encoding in ['utf-8', 'utf-16', 'ascii', 'latin_1', 'cp1252', 'cp437']: # try different encodings
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try:
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decoded = s.decode(encoding, errors="strict")
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if all(ord(c) < 128 for c in decoded): # only allow 7-bit ascii characters
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val = remove_prefix(decoded, 'UNICODE') # remove silly prefix added by old pnginfo/exif encoding
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val = remove_prefix(val, 'ASCII')
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val = re.sub(r'[\x00-\x09]', '', val) # remove remaining special characters
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if len(val) == 0: # remove empty strings
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val = None
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return val
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val = remove_prefix(decoded, 'UNICODE') # remove silly prefix added by old pnginfo/exif encoding
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val = remove_prefix(val, 'ASCII')
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val = re.sub(r'[\x00-\x09]', '', val).strip() # remove remaining special characters
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if len(val) > 1024: # limit string length
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val = val[:1024]
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if len(val) == 0: # remove empty strings
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val = None
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# if not all(ord(c) < 128 for c in decoded): # only allow 7-bit ascii characters
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# val = None
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return val
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except:
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pass
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return None
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@@ -331,6 +331,7 @@ options_templates.update(options_section(('saving-images', "Saving images/grids"
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"export_for_4chan": OptionInfo(True, "If the saved image file size is above the limit, or its either width or height are above the limit, save a downscaled copy as JPG"),
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"img_downscale_threshold": OptionInfo(4.0, "File size limit for the above option, MB", gr.Number),
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"target_side_length": OptionInfo(4000, "Width/height limit for the above option, in pixels", gr.Number),
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"img_max_size_mp": OptionInfo(200, "Maximum image size, in megapixels", gr.Number),
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"use_original_name_batch": OptionInfo(True, "Use original name for output filename during batch process in extras tab"),
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"use_upscaler_name_as_suffix": OptionInfo(False, "Use upscaler name as filename suffix in the extras tab"),
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@@ -484,6 +484,12 @@ class Script(scripts.Script):
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z_opt = self.current_axis_options[z_type]
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zs = process_axis(z_opt, z_values)
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# this could be moved to common code, but unlikely to be ever triggered anywhere else
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Image.MAX_IMAGE_PIXELS = opts.img_max_size_mp * 1.1 # allow 10% overhead for margins and legend
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grid_mp = round(len(xs) * len(ys) * len(zs) * p.width * p.height / 1000000)
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if grid_mp > opts.img_max_size_mp:
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return Processed(p, [], p.seed, info=f'Error: Resulting grid would be too large ({grid_mp} MPixels) (max configured size is {opts.img_max_size_mp} MPixels)')
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def fix_axis_seeds(axis_opt, axis_list):
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if axis_opt.label in ['Seed', 'Var. seed']:
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return [int(random.randrange(4294967294)) if val is None or val == '' or val == -1 else val for val in axis_list]
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+384
-354
@@ -1,117 +1,47 @@
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{
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"txt2img/Batch count/maximum": 100,
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"txt2img/Batch count/minimum": 1,
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"txt2img/Batch count/step": 1,
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"txt2img/Batch count/value": 1,
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"txt2img/Batch count/visible": true,
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"txt2img/Batch size/maximum": 16,
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"txt2img/Batch size/minimum": 1,
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"txt2img/Batch size/step": 1,
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"txt2img/Batch size/value": 1,
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"txt2img/Batch size/visible": true,
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"txt2img/CFG Scale/maximum": 30.0,
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"txt2img/CFG Scale/minimum": 1.0,
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"txt2img/CFG Scale/step": 0.1,
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"txt2img/CFG Scale/value": 6.0,
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"txt2img/CFG Scale/visible": true,
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"txt2img/Denoising strength/maximum": 1.0,
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"txt2img/Denoising strength/minimum": 0.0,
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"txt2img/Denoising strength/step": 0.01,
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"txt2img/Denoising strength/value": 0.7,
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"txt2img/Denoising strength/visible": true,
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"txt2img/Extra/value": false,
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"txt2img/Extra/visible": true,
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"txt2img/Height/maximum": 2048,
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"txt2img/Height/minimum": 64,
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"txt2img/Height/step": 8,
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"txt2img/Height/value": 512,
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"txt2img/Height/visible": true,
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"txt2img/Hi-res tiling/value": false,
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"txt2img/Hi-res Tiling/value": false,
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"txt2img/Hi-res tiling/visible": true,
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"txt2img/Hi-res Tiling/visible": true,
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"txt2img/Hires steps/maximum": 150,
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"txt2img/Hires steps/minimum": 0,
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"txt2img/Hires steps/step": 1,
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"txt2img/Hires steps/value": 0,
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"txt2img/Hires steps/visible": true,
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"txt2img/Hires. fix/value": false,
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"txt2img/Hires. fix/visible": true,
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"txt2img/Negative prompt/value": "foggy, blurry, blurred, duplicate, ugly, mutilated, mutation, mutated, out of frame, bad anatomy, disfigured, deformed, censored, low res, watermark, text, poorly drawn face, signature",
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"txt2img/Negative prompt/visible": true,
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"txt2img/Override settings/value": null,
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"txt2img/Prompt/value": "photorealistic, high detailed, sharp focus, depth of field, 4k",
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"txt2img/Prompt/visible": true,
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"txt2img/Resize height to/maximum": 2048,
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"txt2img/Resize height to/minimum": 0,
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||||
"txt2img/Resize height to/step": 8,
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"txt2img/Resize height to/value": 0,
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"txt2img/Resize height to/visible": true,
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"txt2img/Resize seed from height/maximum": 2048,
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"txt2img/Resize seed from height/minimum": 0,
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||||
"txt2img/Resize seed from height/step": 8,
|
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"txt2img/Resize seed from height/value": 0,
|
||||
"txt2img/Resize seed from height/visible": true,
|
||||
"txt2img/Resize seed from width/maximum": 2048,
|
||||
"txt2img/Resize seed from width/minimum": 0,
|
||||
"txt2img/Resize seed from width/step": 8,
|
||||
"txt2img/Resize seed from width/value": 0,
|
||||
"txt2img/Resize seed from width/visible": true,
|
||||
"txt2img/Resize width to/maximum": 2048,
|
||||
"txt2img/Resize width to/minimum": 0,
|
||||
"txt2img/Resize width to/step": 8,
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||||
"txt2img/Resize width to/value": 0,
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||||
"txt2img/Resize width to/visible": true,
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||||
"txt2img/Restore faces/value": false,
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||||
"txt2img/Restore faces/visible": true,
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"txt2img/Sampling method/value": "DPM2 Karras",
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"txt2img/Sampling method/visible": true,
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||||
"txt2img/Sampling steps/maximum": 150,
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||||
"txt2img/Sampling Steps/maximum": 200,
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||||
"txt2img/Sampling steps/minimum": 1,
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||||
"txt2img/Sampling Steps/minimum": 1,
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||||
"txt2img/Sampling steps/step": 1,
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||||
"txt2img/Sampling Steps/step": 1,
|
||||
"txt2img/Sampling steps/value": 20,
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||||
"txt2img/Sampling Steps/value": 20,
|
||||
"txt2img/Sampling steps/visible": true,
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||||
"txt2img/Sampling Steps/visible": true,
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||||
"txt2img/Script/value": "None",
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||||
"txt2img/Script/visible": true,
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||||
"txt2img/Seed/value": -1.0,
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||||
"txt2img/Seed/visible": true,
|
||||
"txt2img/strength/maximum": 1,
|
||||
"txt2img/strength/minimum": 0,
|
||||
"txt2img/strength/step": 0.01,
|
||||
"txt2img/strength/value": 0.0,
|
||||
"txt2img/strength/visible": true,
|
||||
"txt2img/Style 1/value": "None",
|
||||
"txt2img/Style 1/visible": true,
|
||||
"txt2img/Style 2/value": "None",
|
||||
"txt2img/Style 2/visible": true,
|
||||
"txt2img/Styles/value": [],
|
||||
"txt2img/Styles/visible": false,
|
||||
"txt2img/Tiling/value": false,
|
||||
"txt2img/Tiling/visible": true,
|
||||
"txt2img/Upscale by/maximum": 4.0,
|
||||
"txt2img/Upscale by/minimum": 1.0,
|
||||
"txt2img/Upscale by/step": 0.05,
|
||||
"txt2img/Upscale by/value": 2.0,
|
||||
"txt2img/Upscale by/visible": true,
|
||||
"txt2img/Upscaler/value": "Latent",
|
||||
"txt2img/Upscaler/visible": true,
|
||||
"txt2img/Variation seed/value": -1.0,
|
||||
"txt2img/Variation seed/visible": true,
|
||||
"txt2img/Variation strength/maximum": 1,
|
||||
"txt2img/Variation strength/minimum": 0,
|
||||
"txt2img/Variation strength/step": 0.01,
|
||||
"txt2img/Variation strength/value": 0.0,
|
||||
"txt2img/Variation strength/visible": true,
|
||||
"txt2img/Width/maximum": 2048,
|
||||
"txt2img/Width/minimum": 64,
|
||||
"txt2img/Width/step": 8,
|
||||
"txt2img/Width/value": 512,
|
||||
"txt2img/Width/visible": true,
|
||||
"extras/CodeFormer visibility/maximum": 1.0,
|
||||
"extras/CodeFormer visibility/minimum": 0.0,
|
||||
"extras/CodeFormer visibility/step": 0.001,
|
||||
"extras/CodeFormer visibility/value": 1.0,
|
||||
"extras/CodeFormer visibility/visible": true,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0.15,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": true,
|
||||
"extras/Crop to fit/value": true,
|
||||
"extras/Crop to fit/visible": true,
|
||||
"extras/GFPGAN visibility/maximum": 1.0,
|
||||
"extras/GFPGAN visibility/minimum": 0.0,
|
||||
"extras/GFPGAN visibility/step": 0.001,
|
||||
"extras/GFPGAN visibility/value": 0,
|
||||
"extras/GFPGAN visibility/visible": true,
|
||||
"extras/Height/value": 512,
|
||||
"extras/Height/visible": true,
|
||||
"extras/Input directory/value": "",
|
||||
"extras/Input directory/visible": true,
|
||||
"extras/Output directory/value": "",
|
||||
"extras/Output directory/visible": true,
|
||||
"extras/Resize/maximum": 8.0,
|
||||
"extras/Resize/minimum": 1.0,
|
||||
"extras/Resize/step": 0.05,
|
||||
"extras/Resize/value": 4,
|
||||
"extras/Resize/visible": true,
|
||||
"extras/Show result images/value": true,
|
||||
"extras/Show result images/visible": true,
|
||||
"extras/Upscale Before Restoring Faces/value": false,
|
||||
"extras/Upscale Before Restoring Faces/visible": true,
|
||||
"extras/Upscaler 1/value": "SwinIR_4x",
|
||||
"extras/Upscaler 1/visible": true,
|
||||
"extras/Upscaler 2 visibility/maximum": 1.0,
|
||||
"extras/Upscaler 2 visibility/minimum": 0.0,
|
||||
"extras/Upscaler 2 visibility/step": 0.001,
|
||||
"extras/Upscaler 2 visibility/value": 1,
|
||||
"extras/Upscaler 2 visibility/visible": false,
|
||||
"extras/Upscaler 2/value": "None",
|
||||
"extras/Upscaler 2/visible": false,
|
||||
"extras/Width/value": 512,
|
||||
"extras/Width/visible": true,
|
||||
"img2img/Batch count/maximum": 100,
|
||||
"img2img/Batch count/minimum": 1,
|
||||
"img2img/Batch count/step": 1,
|
||||
@@ -122,6 +52,16 @@
|
||||
"img2img/Batch size/step": 1,
|
||||
"img2img/Batch size/value": 1,
|
||||
"img2img/Batch size/visible": true,
|
||||
"img2img/Canvas Height/maximum": 1024,
|
||||
"img2img/Canvas Height/minimum": 256,
|
||||
"img2img/Canvas Height/step": 64,
|
||||
"img2img/Canvas Height/value": 512,
|
||||
"img2img/Canvas Height/visible": true,
|
||||
"img2img/Canvas Width/maximum": 1024,
|
||||
"img2img/Canvas Width/minimum": 256,
|
||||
"img2img/Canvas Width/step": 64,
|
||||
"img2img/Canvas Width/value": 512,
|
||||
"img2img/Canvas Width/visible": true,
|
||||
"img2img/CFG Scale/maximum": 30.0,
|
||||
"img2img/CFG Scale/minimum": 1.0,
|
||||
"img2img/CFG Scale/step": 0.5,
|
||||
@@ -231,49 +171,31 @@
|
||||
"img2img/Width/step": 8,
|
||||
"img2img/Width/value": 512,
|
||||
"img2img/Width/visible": true,
|
||||
"extras/CodeFormer visibility/maximum": 1.0,
|
||||
"extras/CodeFormer visibility/minimum": 0.0,
|
||||
"extras/CodeFormer visibility/step": 0.001,
|
||||
"extras/CodeFormer visibility/value": 1.0,
|
||||
"extras/CodeFormer visibility/visible": true,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0.15,
|
||||
"extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": true,
|
||||
"extras/Crop to fit/value": true,
|
||||
"extras/Crop to fit/visible": true,
|
||||
"extras/GFPGAN visibility/maximum": 1.0,
|
||||
"extras/GFPGAN visibility/minimum": 0.0,
|
||||
"extras/GFPGAN visibility/step": 0.001,
|
||||
"extras/GFPGAN visibility/value": 0,
|
||||
"extras/GFPGAN visibility/visible": true,
|
||||
"extras/Height/value": 512,
|
||||
"extras/Height/visible": true,
|
||||
"extras/Input directory/value": "",
|
||||
"extras/Input directory/visible": true,
|
||||
"extras/Output directory/value": "",
|
||||
"extras/Output directory/visible": true,
|
||||
"extras/Resize/maximum": 8.0,
|
||||
"extras/Resize/minimum": 1.0,
|
||||
"extras/Resize/step": 0.05,
|
||||
"extras/Resize/value": 4,
|
||||
"extras/Resize/visible": true,
|
||||
"extras/Show result images/value": true,
|
||||
"extras/Show result images/visible": true,
|
||||
"extras/Upscale Before Restoring Faces/value": false,
|
||||
"extras/Upscale Before Restoring Faces/visible": true,
|
||||
"extras/Upscaler 1/value": "SwinIR_4x",
|
||||
"extras/Upscaler 1/visible": true,
|
||||
"extras/Upscaler 2 visibility/maximum": 1.0,
|
||||
"extras/Upscaler 2 visibility/minimum": 0.0,
|
||||
"extras/Upscaler 2 visibility/step": 0.001,
|
||||
"extras/Upscaler 2 visibility/value": 1,
|
||||
"extras/Upscaler 2 visibility/visible": false,
|
||||
"extras/Upscaler 2/value": "None",
|
||||
"extras/Upscaler 2/visible": false,
|
||||
"extras/Width/value": 512,
|
||||
"extras/Width/visible": true,
|
||||
"modelmerger/Bake in VAE/value": "None",
|
||||
"modelmerger/Bake in VAE/visible": true,
|
||||
"modelmerger/Checkpoint format/value": "ckpt",
|
||||
"modelmerger/Checkpoint format/visible": true,
|
||||
"modelmerger/Copy config from/value": "A, B or C",
|
||||
"modelmerger/Copy config from/visible": true,
|
||||
"modelmerger/Custom Name (Optional)/value": "",
|
||||
"modelmerger/Custom Name (Optional)/visible": true,
|
||||
"modelmerger/Discard weights with matching name/value": "",
|
||||
"modelmerger/Discard weights with matching name/visible": true,
|
||||
"modelmerger/Interpolation Method/value": "Weighted sum",
|
||||
"modelmerger/Interpolation Method/visible": true,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/minimum": 0.0,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/step": 0.05,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/value": 0.3,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/visible": true,
|
||||
"modelmerger/Primary model (A)/value": null,
|
||||
"modelmerger/Primary model (A)/visible": true,
|
||||
"modelmerger/Save as float16/value": true,
|
||||
"modelmerger/Save as float16/visible": true,
|
||||
"modelmerger/Secondary model (B)/value": null,
|
||||
"modelmerger/Secondary model (B)/visible": true,
|
||||
"modelmerger/Tertiary model (C)/value": null,
|
||||
"modelmerger/Tertiary model (C)/visible": true,
|
||||
"train/Add layer normalization/value": false,
|
||||
"train/Add layer normalization/visible": true,
|
||||
"train/Area lower bound/maximum": 4194304,
|
||||
@@ -290,14 +212,25 @@
|
||||
"train/Auto focal point crop/visible": true,
|
||||
"train/Auto-sized crop/value": false,
|
||||
"train/Auto-sized crop/visible": true,
|
||||
"train/Bake in VAE/value": "None",
|
||||
"train/Bake in VAE/visible": true,
|
||||
"train/Batch size/maximum": 1024,
|
||||
"train/Batch size/minimum": 1,
|
||||
"train/Batch size/step": 1,
|
||||
"train/Batch size/value": 1,
|
||||
"train/Batch size/visible": true,
|
||||
"train/Checkpoint format/value": "ckpt",
|
||||
"train/Checkpoint format/visible": true,
|
||||
"train/Choose latent sampling method/value": "once",
|
||||
"train/Choose latent sampling method/visible": true,
|
||||
"train/Copy config from/value": "A, B or C",
|
||||
"train/Copy config from/visible": true,
|
||||
"train/Create debug image/value": false,
|
||||
"train/Create debug image/visible": true,
|
||||
"train/Create flipped copies/value": false,
|
||||
"train/Create flipped copies/visible": true,
|
||||
"train/Custom Name (Optional)/value": "",
|
||||
"train/Custom Name (Optional)/visible": true,
|
||||
"train/Dataset directory/value": "",
|
||||
"train/Dataset directory/visible": true,
|
||||
"train/Destination directory/value": "",
|
||||
@@ -312,6 +245,8 @@
|
||||
"train/Dimension upper bound/step": 8,
|
||||
"train/Dimension upper bound/value": 768,
|
||||
"train/Dimension upper bound/visible": true,
|
||||
"train/Discard weights with matching name/value": "",
|
||||
"train/Discard weights with matching name/visible": true,
|
||||
"train/Do not resize images/value": false,
|
||||
"train/Do not resize images/visible": true,
|
||||
"train/Drop out tags when creating prompts./maximum": 1,
|
||||
@@ -364,10 +299,24 @@
|
||||
"train/Hypernetwork/visible": true,
|
||||
"train/Initialization text/value": "person",
|
||||
"train/Initialization text/visible": true,
|
||||
"train/Interpolation Method/value": "Weighted sum",
|
||||
"train/Interpolation Method/visible": true,
|
||||
"train/KV Learning rate/value": "1e-5",
|
||||
"train/KV Learning rate/visible": true,
|
||||
"train/Log directory/value": "train/log",
|
||||
"train/Log directory/visible": true,
|
||||
"train/Low-rank approximation sum threshold (lower value means smaller file size, 1 to disable)/maximum": 1,
|
||||
"train/Low-rank approximation sum threshold (lower value means smaller file size, 1 to disable)/minimum": 0,
|
||||
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|
||||
"train/Low-rank approximation sum threshold (lower value means smaller file size, 1 to disable)/value": 0.5,
|
||||
"train/Low-rank approximation sum threshold (lower value means smaller file size, 1 to disable)/visible": true,
|
||||
"train/Max steps/value": 2500,
|
||||
"train/Max steps/visible": true,
|
||||
"train/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
|
||||
"train/Multiplier (M) - set to 0 to get model A/minimum": 0.0,
|
||||
"train/Multiplier (M) - set to 0 to get model A/step": 0.05,
|
||||
"train/Multiplier (M) - set to 0 to get model A/value": 0.3,
|
||||
"train/Multiplier (M) - set to 0 to get model A/visible": true,
|
||||
"train/Name/value": "",
|
||||
"train/Name/visible": true,
|
||||
"train/Number of vectors per token/maximum": 75,
|
||||
@@ -379,20 +328,33 @@
|
||||
"train/Overwrite Old Embedding/visible": true,
|
||||
"train/Overwrite Old Hypernetwork/value": false,
|
||||
"train/Overwrite Old Hypernetwork/visible": true,
|
||||
"train/Primary model (A)/value": null,
|
||||
"train/Primary model (A)/visible": true,
|
||||
"train/Prior-preservation loss weight/maximum": 10.0,
|
||||
"train/Prior-preservation loss weight/minimum": 0.0,
|
||||
"train/Prior-preservation loss weight/step": 0.1,
|
||||
"train/Prior-preservation loss weight/value": 1.0,
|
||||
"train/Prior-preservation loss weight/visible": true,
|
||||
"train/Prompt template file/value": "subject_filewords.txt",
|
||||
"train/Prompt template file/visible": true,
|
||||
"train/Prompt template/value": "subject_filewords.txt",
|
||||
"train/Prompt template/visible": true,
|
||||
"train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": false,
|
||||
"train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": true,
|
||||
"train/Regularization dataset directory (optional)/value": "",
|
||||
"train/Regularization dataset directory (optional)/visible": true,
|
||||
"train/Resizing objective/value": "Maximize area",
|
||||
"train/Resizing objective/visible": true,
|
||||
"train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 250,
|
||||
"train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": true,
|
||||
"train/Save an image to log directory every N steps, 0 to disable/value": 250,
|
||||
"train/Save an image to log directory every N steps, 0 to disable/visible": true,
|
||||
"train/Save as float16/value": true,
|
||||
"train/Save as float16/visible": true,
|
||||
"train/Save images with embedding in PNG chunks/value": true,
|
||||
"train/Save images with embedding in PNG chunks/visible": true,
|
||||
"train/Secondary model (B)/value": null,
|
||||
"train/Secondary model (B)/visible": true,
|
||||
"train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value": "linear",
|
||||
"train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible": true,
|
||||
"train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value": "Normal",
|
||||
@@ -413,59 +375,144 @@
|
||||
"train/Split image threshold/visible": true,
|
||||
"train/Split oversized images/value": false,
|
||||
"train/Split oversized images/visible": true,
|
||||
"train/Tertiary model (C)/value": null,
|
||||
"train/Tertiary model (C)/visible": true,
|
||||
"train/Use BLIP for caption/value": false,
|
||||
"train/Use BLIP for caption/visible": true,
|
||||
"train/Use deepbooru for caption/value": false,
|
||||
"train/Use deepbooru for caption/visible": true,
|
||||
"train/Use dropout/value": false,
|
||||
"train/Use dropout/visible": true,
|
||||
"train/Use PNG alpha channel as loss weight/value": false,
|
||||
"train/Use PNG alpha channel as loss weight/visible": true,
|
||||
"train/Width/maximum": 2048,
|
||||
"train/Width/minimum": 64,
|
||||
"train/Width/step": 8,
|
||||
"train/Width/value": 512,
|
||||
"train/Width/visible": true,
|
||||
"train/KV Learning rate/visible": true,
|
||||
"train/KV Learning rate/value": "1e-5",
|
||||
"train/Low-rank approximation sum threshold (lower value means smaller file size, 1 to disable)/visible": true,
|
||||
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|
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|
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|
||||
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|
||||
"train/Regularization dataset directory (optional)/visible": true,
|
||||
"train/Regularization dataset directory (optional)/value": "",
|
||||
"train/Prior-preservation loss weight/visible": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"train/Batch size/minimum": 1,
|
||||
"train/Batch size/maximum": 1024,
|
||||
"train/Batch size/step": 1,
|
||||
"modelmerger/Bake in VAE/value": "None",
|
||||
"modelmerger/Bake in VAE/visible": true,
|
||||
"modelmerger/Checkpoint format/value": "ckpt",
|
||||
"modelmerger/Checkpoint format/visible": true,
|
||||
"modelmerger/Copy config from/value": "A, B or C",
|
||||
"modelmerger/Copy config from/visible": true,
|
||||
"modelmerger/Custom Name (Optional)/value": "",
|
||||
"modelmerger/Custom Name (Optional)/visible": true,
|
||||
"modelmerger/Discard weights with matching name/value": "",
|
||||
"modelmerger/Discard weights with matching name/visible": true,
|
||||
"modelmerger/Interpolation Method/value": "Weighted sum",
|
||||
"modelmerger/Interpolation Method/visible": true,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
|
||||
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|
||||
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|
||||
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|
||||
"modelmerger/Primary model (A)/value": null,
|
||||
"modelmerger/Primary model (A)/visible": true,
|
||||
"modelmerger/Save as float16/value": true,
|
||||
"modelmerger/Save as float16/visible": true,
|
||||
"modelmerger/Secondary model (B)/value": null,
|
||||
"modelmerger/Secondary model (B)/visible": true,
|
||||
"modelmerger/Tertiary model (C)/value": null,
|
||||
"modelmerger/Tertiary model (C)/visible": true,
|
||||
"txt2img/Batch count/maximum": 100,
|
||||
"txt2img/Batch count/minimum": 1,
|
||||
"txt2img/Batch count/step": 1,
|
||||
"txt2img/Batch count/value": 1,
|
||||
"txt2img/Batch count/visible": true,
|
||||
"txt2img/Batch size/maximum": 16,
|
||||
"txt2img/Batch size/minimum": 1,
|
||||
"txt2img/Batch size/step": 1,
|
||||
"txt2img/Batch size/value": 1,
|
||||
"txt2img/Batch size/visible": true,
|
||||
"txt2img/Canvas Height/maximum": 1024,
|
||||
"txt2img/Canvas Height/minimum": 256,
|
||||
"txt2img/Canvas Height/step": 64,
|
||||
"txt2img/Canvas Height/value": 512,
|
||||
"txt2img/Canvas Height/visible": true,
|
||||
"txt2img/Canvas Width/maximum": 1024,
|
||||
"txt2img/Canvas Width/minimum": 256,
|
||||
"txt2img/Canvas Width/step": 64,
|
||||
"txt2img/Canvas Width/value": 512,
|
||||
"txt2img/Canvas Width/visible": true,
|
||||
"txt2img/CFG Scale/maximum": 30.0,
|
||||
"txt2img/CFG Scale/minimum": 1.0,
|
||||
"txt2img/CFG Scale/step": 0.1,
|
||||
"txt2img/CFG Scale/value": 6.0,
|
||||
"txt2img/CFG Scale/visible": true,
|
||||
"txt2img/Denoising strength/maximum": 1.0,
|
||||
"txt2img/Denoising strength/minimum": 0.0,
|
||||
"txt2img/Denoising strength/step": 0.01,
|
||||
"txt2img/Denoising strength/value": 0.7,
|
||||
"txt2img/Denoising strength/visible": true,
|
||||
"txt2img/Extra/value": false,
|
||||
"txt2img/Extra/visible": true,
|
||||
"txt2img/Height/maximum": 2048,
|
||||
"txt2img/Height/minimum": 64,
|
||||
"txt2img/Height/step": 8,
|
||||
"txt2img/Height/value": 512,
|
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"txt2img/Height/visible": true,
|
||||
"txt2img/Hi-res tiling/value": false,
|
||||
"txt2img/Hi-res Tiling/value": false,
|
||||
"txt2img/Hi-res tiling/visible": true,
|
||||
"txt2img/Hi-res Tiling/visible": true,
|
||||
"txt2img/Hires steps/maximum": 150,
|
||||
"txt2img/Hires steps/minimum": 0,
|
||||
"txt2img/Hires steps/step": 1,
|
||||
"txt2img/Hires steps/value": 0,
|
||||
"txt2img/Hires steps/visible": true,
|
||||
"txt2img/Hires. fix/value": false,
|
||||
"txt2img/Hires. fix/visible": true,
|
||||
"txt2img/Negative prompt/value": "foggy, blurry, blurred, duplicate, ugly, mutilated, mutation, mutated, out of frame, bad anatomy, disfigured, deformed, censored, low res, watermark, text, poorly drawn face, signature",
|
||||
"txt2img/Negative prompt/visible": true,
|
||||
"txt2img/Override settings/value": null,
|
||||
"txt2img/Prompt/value": "photorealistic, high detailed, sharp focus, depth of field, 4k",
|
||||
"txt2img/Prompt/visible": true,
|
||||
"txt2img/Resize height to/maximum": 2048,
|
||||
"txt2img/Resize height to/minimum": 0,
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||||
"txt2img/Resize height to/step": 8,
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||||
"txt2img/Resize height to/value": 0,
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"txt2img/Resize height to/visible": true,
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"txt2img/Resize seed from height/maximum": 2048,
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||||
"txt2img/Resize seed from height/minimum": 0,
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||||
"txt2img/Resize seed from height/step": 8,
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||||
"txt2img/Resize seed from height/value": 0,
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"txt2img/Resize seed from height/visible": true,
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||||
"txt2img/Resize seed from width/maximum": 2048,
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||||
"txt2img/Resize seed from width/minimum": 0,
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"txt2img/Resize seed from width/step": 8,
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"txt2img/Resize seed from width/value": 0,
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"txt2img/Resize seed from width/visible": true,
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"txt2img/Resize width to/maximum": 2048,
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||||
"txt2img/Resize width to/minimum": 0,
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"txt2img/Resize width to/step": 8,
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||||
"txt2img/Resize width to/value": 0,
|
||||
"txt2img/Resize width to/visible": true,
|
||||
"txt2img/Restore faces/value": false,
|
||||
"txt2img/Restore faces/visible": true,
|
||||
"txt2img/Sampling method/value": "DPM2 Karras",
|
||||
"txt2img/Sampling method/visible": true,
|
||||
"txt2img/Sampling steps/maximum": 150,
|
||||
"txt2img/Sampling Steps/maximum": 200,
|
||||
"txt2img/Sampling steps/minimum": 1,
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||||
"txt2img/Sampling Steps/minimum": 1,
|
||||
"txt2img/Sampling steps/step": 1,
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||||
"txt2img/Sampling Steps/step": 1,
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||||
"txt2img/Sampling steps/value": 20,
|
||||
"txt2img/Sampling Steps/value": 20,
|
||||
"txt2img/Sampling steps/visible": true,
|
||||
"txt2img/Sampling Steps/visible": true,
|
||||
"txt2img/Script/value": "None",
|
||||
"txt2img/Script/visible": true,
|
||||
"txt2img/Seed/value": -1.0,
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||||
"txt2img/Seed/visible": true,
|
||||
"txt2img/strength/maximum": 1,
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"txt2img/strength/minimum": 0,
|
||||
"txt2img/strength/step": 0.01,
|
||||
"txt2img/strength/value": 0.0,
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"txt2img/strength/visible": true,
|
||||
"txt2img/Style 1/value": "None",
|
||||
"txt2img/Style 1/visible": true,
|
||||
"txt2img/Style 2/value": "None",
|
||||
"txt2img/Style 2/visible": true,
|
||||
"txt2img/Styles/value": [],
|
||||
"txt2img/Styles/visible": false,
|
||||
"txt2img/Tiling/value": false,
|
||||
"txt2img/Tiling/visible": true,
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||||
"txt2img/Upscale by/maximum": 4.0,
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"txt2img/Upscale by/minimum": 1.0,
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||||
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|
||||
"txt2img/Upscale by/visible": true,
|
||||
"txt2img/Upscaler/value": "Latent",
|
||||
"txt2img/Upscaler/visible": true,
|
||||
"txt2img/Variation seed/value": -1.0,
|
||||
"txt2img/Variation seed/visible": true,
|
||||
"txt2img/Variation strength/maximum": 1,
|
||||
"txt2img/Variation strength/minimum": 0,
|
||||
"txt2img/Variation strength/step": 0.01,
|
||||
"txt2img/Variation strength/value": 0.0,
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"txt2img/Variation strength/visible": true,
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"txt2img/Width/maximum": 2048,
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|
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"txt2img/Width/step": 8,
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"txt2img/Width/value": 512,
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"txt2img/Width/visible": true,
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||||
"customscript/additional_networks.py/img2img/Enable/value": false,
|
||||
"customscript/additional_networks.py/img2img/Enable/visible": true,
|
||||
"customscript/additional_networks.py/img2img/Model 1/value": "",
|
||||
@@ -626,6 +673,108 @@
|
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"customscript/aesthetic.py/txt2img/Slerp angle/visible": true,
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"customscript/aesthetic.py/txt2img/Slerp interpolation/value": false,
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"customscript/controlnet.py/img2img/Enable/value": false,
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"customscript/controlnet.py/img2img/Enable/visible": true,
|
||||
"customscript/controlnet.py/img2img/Guess Mode/value": false,
|
||||
"customscript/controlnet.py/img2img/Guess Mode/visible": true,
|
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"customscript/controlnet.py/img2img/Guidance End (T)/maximum": 1.0,
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|
||||
"customscript/controlnet.py/img2img/Invert Input Color/visible": true,
|
||||
"customscript/controlnet.py/img2img/Low VRAM/value": false,
|
||||
"customscript/controlnet.py/img2img/Low VRAM/visible": true,
|
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"customscript/controlnet.py/img2img/Model/visible": true,
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|
||||
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|
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|
||||
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|
||||
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|
||||
"customscript/controlnet.py/img2img/RGB to BGR/visible": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
"customscript/controlnet.py/txt2img/Guidance strength (T)/minimum": 0.0,
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"customscript/controlnet.py/txt2img/Guidance strength (T)/step": 0.01,
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"customscript/controlnet.py/txt2img/Guidance strength (T)/value": 1.0,
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"customscript/controlnet.py/txt2img/Guidance strength (T)/visible": true,
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"customscript/controlnet.py/txt2img/Invert Input Color/visible": true,
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"customscript/controlnet.py/txt2img/Low VRAM/value": false,
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"customscript/controlnet.py/txt2img/Low VRAM/visible": true,
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"customscript/controlnet.py/txt2img/Model/value": "None",
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"customscript/controlnet.py/txt2img/Model/visible": true,
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"customscript/controlnet.py/txt2img/Preprocessor/value": "none",
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"customscript/controlnet.py/txt2img/Preprocessor/visible": true,
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"customscript/controlnet.py/txt2img/Resize Mode/value": "Scale to Fit (Inner Fit)",
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"customscript/controlnet.py/txt2img/Resize Mode/visible": true,
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"customscript/controlnet.py/txt2img/RGB to BGR/value": false,
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"customscript/controlnet.py/txt2img/RGB to BGR/visible": true,
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"customscript/controlnet.py/txt2img/Threshold A/minimum": 64,
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"customscript/controlnet.py/txt2img/Threshold A/step": 1,
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"customscript/controlnet.py/txt2img/Threshold A/value": 64,
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"customscript/controlnet.py/txt2img/Threshold A/visible": true,
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"customscript/controlnet.py/txt2img/Threshold B/maximum": 1024,
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"customscript/controlnet.py/txt2img/Threshold B/minimum": 64,
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"customscript/controlnet.py/txt2img/Threshold B/step": 1,
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"customscript/controlnet.py/txt2img/Threshold B/value": 64,
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"customscript/controlnet.py/txt2img/Threshold B/visible": true,
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"customscript/controlnet.py/txt2img/Weight/maximum": 2.0,
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"customscript/controlnet.py/txt2img/Weight/minimum": 0.0,
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"customscript/controlnet.py/txt2img/Weight/step": 0.05,
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"customscript/controlnet.py/txt2img/Weight/value": 1.0,
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"customscript/controlnet.py/txt2img/Weight/visible": true,
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"customscript/dynamic_thresholding.py/img2img/CFG Scale Scheduler/value": "Constant",
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"customscript/dynamic_thresholding.py/img2img/CFG Scale Scheduler/visible": true,
|
||||
"customscript/dynamic_thresholding.py/img2img/Enable Dynamic Thresholding (CFG Scale Fix)/value": false,
|
||||
@@ -647,6 +796,11 @@
|
||||
"customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/step": 0.5,
|
||||
"customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/value": 0.0,
|
||||
"customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/visible": true,
|
||||
"customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/maximum": 15.0,
|
||||
"customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/minimum": 0.0,
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||||
"customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/step": 0.5,
|
||||
"customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/value": 4.0,
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||||
"customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/visible": true,
|
||||
"customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/maximum": 100.0,
|
||||
"customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/minimum": 90.0,
|
||||
"customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/step": 0.05,
|
||||
@@ -673,6 +827,11 @@
|
||||
"customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/step": 0.5,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/value": 0.0,
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"customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/visible": true,
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"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/maximum": 15.0,
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"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/minimum": 0.0,
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||||
"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/step": 0.5,
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"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/value": 4.0,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/visible": true,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/maximum": 100.0,
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||||
"customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/minimum": 90.0,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/step": 0.05,
|
||||
@@ -711,6 +870,8 @@
|
||||
"customscript/inspiration.py/img2img/Prompt Placeholder, which can be used at the top of prompt input/visible": true,
|
||||
"customscript/inspiration.py/txt2img/Prompt Placeholder, which can be used at the top of prompt input/value": "{inspiration}",
|
||||
"customscript/inspiration.py/txt2img/Prompt Placeholder, which can be used at the top of prompt input/visible": true,
|
||||
"customscript/loopback.py/img2img/Append interrogated prompt at each iteration/value": "None",
|
||||
"customscript/loopback.py/img2img/Append interrogated prompt at each iteration/visible": true,
|
||||
"customscript/loopback.py/img2img/Denoising strength change factor/maximum": 1.1,
|
||||
"customscript/loopback.py/img2img/Denoising strength change factor/minimum": 0.9,
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||||
"customscript/loopback.py/img2img/Denoising strength change factor/step": 0.01,
|
||||
@@ -721,6 +882,16 @@
|
||||
"customscript/loopback.py/img2img/Loops/step": 1,
|
||||
"customscript/loopback.py/img2img/Loops/value": 4,
|
||||
"customscript/loopback.py/img2img/Loops/visible": true,
|
||||
"customscript/movie2movie.py/img2img/Duration/maximum": 200.0,
|
||||
"customscript/movie2movie.py/img2img/Duration/minimum": 10.0,
|
||||
"customscript/movie2movie.py/img2img/Duration/step": 10,
|
||||
"customscript/movie2movie.py/img2img/Duration/value": 50.0,
|
||||
"customscript/movie2movie.py/img2img/Duration/visible": true,
|
||||
"customscript/movie2movie.py/txt2img/Duration/maximum": 200.0,
|
||||
"customscript/movie2movie.py/txt2img/Duration/minimum": 10.0,
|
||||
"customscript/movie2movie.py/txt2img/Duration/step": 10,
|
||||
"customscript/movie2movie.py/txt2img/Duration/value": 50.0,
|
||||
"customscript/movie2movie.py/txt2img/Duration/visible": true,
|
||||
"customscript/outpainting_mk_2.py/img2img/Color variation/maximum": 1.0,
|
||||
"customscript/outpainting_mk_2.py/img2img/Color variation/minimum": 0.0,
|
||||
"customscript/outpainting_mk_2.py/img2img/Color variation/step": 0.01,
|
||||
@@ -918,6 +1089,8 @@
|
||||
"customscript/seed_travel.py/img2img/Destination seed(s) (Comma separated)/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Frames per second/value": 30.0,
|
||||
"customscript/seed_travel.py/img2img/Frames per second/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Interpolation rate/value": "Linear",
|
||||
"customscript/seed_travel.py/img2img/Interpolation rate/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Loop back to initial seed/value": false,
|
||||
"customscript/seed_travel.py/img2img/Loop back to initial seed/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Number of frames for lead in/out/value": 0.0,
|
||||
@@ -926,6 +1099,11 @@
|
||||
"customscript/seed_travel.py/img2img/Number of random seed(s)/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Only use Random seeds (Unless comparing paths)/value": false,
|
||||
"customscript/seed_travel.py/img2img/Only use Random seeds (Unless comparing paths)/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Rate strength/maximum": 10.0,
|
||||
"customscript/seed_travel.py/img2img/Rate strength/minimum": 0.0,
|
||||
"customscript/seed_travel.py/img2img/Rate strength/step": 0.1,
|
||||
"customscript/seed_travel.py/img2img/Rate strength/value": 3,
|
||||
"customscript/seed_travel.py/img2img/Rate strength/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Save results as video/value": true,
|
||||
"customscript/seed_travel.py/img2img/Save results as video/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Show generated images in ui/value": true,
|
||||
@@ -956,6 +1134,8 @@
|
||||
"customscript/seed_travel.py/txt2img/Destination seed(s) (Comma separated)/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Frames per second/value": 30.0,
|
||||
"customscript/seed_travel.py/txt2img/Frames per second/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Interpolation rate/value": "Linear",
|
||||
"customscript/seed_travel.py/txt2img/Interpolation rate/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Loop back to initial seed/value": false,
|
||||
"customscript/seed_travel.py/txt2img/Loop back to initial seed/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Number of frames for lead in/out/value": 0.0,
|
||||
@@ -964,6 +1144,11 @@
|
||||
"customscript/seed_travel.py/txt2img/Number of random seed(s)/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Only use Random seeds (Unless comparing paths)/value": false,
|
||||
"customscript/seed_travel.py/txt2img/Only use Random seeds (Unless comparing paths)/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Rate strength/maximum": 10.0,
|
||||
"customscript/seed_travel.py/txt2img/Rate strength/minimum": 0.0,
|
||||
"customscript/seed_travel.py/txt2img/Rate strength/step": 0.1,
|
||||
"customscript/seed_travel.py/txt2img/Rate strength/value": 3,
|
||||
"customscript/seed_travel.py/txt2img/Rate strength/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Save results as video/value": true,
|
||||
"customscript/seed_travel.py/txt2img/Save results as video/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Show generated images in ui/value": true,
|
||||
@@ -1120,160 +1305,5 @@
|
||||
"customscript/xyz_grid.py/txt2img/Z type/value": "Nothing",
|
||||
"customscript/xyz_grid.py/txt2img/Z type/visible": true,
|
||||
"customscript/xyz_grid.py/txt2img/Z values/value": "",
|
||||
"customscript/xyz_grid.py/txt2img/Z values/visible": true,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/visible": true,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/value": 4.0,
|
||||
"customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/minimum": 0.0,
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||||
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"customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/visible": true,
|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"customscript/seed_travel.py/txt2img/Rate strength/value": 3,
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
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|
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|
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"train/Checkpoint format/visible": true,
|
||||
"train/Checkpoint format/value": "ckpt",
|
||||
"train/Save as float16/visible": true,
|
||||
"train/Save as float16/value": true,
|
||||
"train/Copy config from/visible": true,
|
||||
"train/Copy config from/value": "A, B or C",
|
||||
"train/Bake in VAE/visible": true,
|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
"customscript/controlnet.py/txt2img/Resize Mode/visible": true,
|
||||
"customscript/controlnet.py/txt2img/Resize Mode/value": "Scale to Fit (Inner Fit)",
|
||||
"txt2img/Canvas Width/visible": true,
|
||||
"txt2img/Canvas Width/value": 512,
|
||||
"txt2img/Canvas Width/minimum": 256,
|
||||
"txt2img/Canvas Width/maximum": 1024,
|
||||
"txt2img/Canvas Width/step": 64,
|
||||
"txt2img/Canvas Height/visible": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"customscript/controlnet.py/img2img/Enable/value": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"customscript/controlnet.py/img2img/Model/visible": true,
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"customscript/controlnet.py/img2img/Threshold A/visible": true,
|
||||
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||||
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||||
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|
||||
"customscript/controlnet.py/img2img/Threshold A/step": 1,
|
||||
"customscript/controlnet.py/img2img/Threshold B/visible": true,
|
||||
"customscript/controlnet.py/img2img/Threshold B/value": 64,
|
||||
"customscript/controlnet.py/img2img/Threshold B/minimum": 64,
|
||||
"customscript/controlnet.py/img2img/Threshold B/maximum": 1024,
|
||||
"customscript/controlnet.py/img2img/Threshold B/step": 1,
|
||||
"customscript/controlnet.py/img2img/Resize Mode/visible": true,
|
||||
"customscript/controlnet.py/img2img/Resize Mode/value": "Scale to Fit (Inner Fit)",
|
||||
"img2img/Canvas Width/visible": true,
|
||||
"img2img/Canvas Width/value": 512,
|
||||
"img2img/Canvas Width/minimum": 256,
|
||||
"img2img/Canvas Width/maximum": 1024,
|
||||
"img2img/Canvas Width/step": 64,
|
||||
"img2img/Canvas Height/visible": true,
|
||||
"img2img/Canvas Height/value": 512,
|
||||
"img2img/Canvas Height/minimum": 256,
|
||||
"img2img/Canvas Height/maximum": 1024,
|
||||
"img2img/Canvas Height/step": 64
|
||||
"customscript/xyz_grid.py/txt2img/Z values/visible": true
|
||||
}
|
||||
@@ -42,7 +42,7 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
|
||||
.feather .feather-image { display: none }
|
||||
.gap-2 { padding-top: 8px; }
|
||||
.gr-box > div > div > input.gr-text-input { right: 0.5rem; width: 4em; padding: 0; }
|
||||
.output-html { line-height: 1.2rem; }
|
||||
.output-html { line-height: 1.2rem; overflow-x: hidden; }
|
||||
.output-html > div { margin-bottom: 8px; }
|
||||
.overflow-hidden .flex .flex-col .relative col .gap-4 { min-width: var(--left-column); max-width: var(--left-column); } /* this is a problematic one */
|
||||
.p-2 { padding: 0; }
|
||||
|
||||
Reference in New Issue
Block a user