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https://github.com/vladmandic/automatic
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premerge cleanup
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Submodule extensions-builtin/stable-diffusion-webui-images-browser updated: b186ad2088...7dbd508461
+26
-12
@@ -1,16 +1,30 @@
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accelerate==0.16.0
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diffusers==0.12.1
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einops==0.4.1
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fastapi==0.90.1
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blendmodes==2022
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transformers==4.25.1
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accelerate==0.12.0
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basicsr==1.4.2
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gfpgan==1.3.8
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GitPython==3.1.31
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gradio==3.16.2
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numexpr==2.8.4
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omegaconf==2.3.0
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pandas==1.5.3
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numpy==1.23.3
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Pillow==9.4.0
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protobuf==3.20.3
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pytorch_lightning==1.9.4
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realesrgan==0.3.0
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safetensors==0.3.0
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transformers==4.26.1
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torch
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omegaconf==2.2.3
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pytorch_lightning==1.7.6
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scikit-image==0.19.2
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fonts
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font-roboto
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timm==0.6.7
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piexif==1.1.3
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einops==0.4.1
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jsonmerge==1.8.0
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clean-fid==0.1.29
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resize-right==0.0.2
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torchdiffeq==0.2.3
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kornia==0.6.7
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lark==1.1.2
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inflection==0.5.1
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GitPython==3.1.27
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torchsde==0.2.5
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safetensors==0.2.7
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httpcore<=0.15
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fastapi==0.90.1
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+1
-7
@@ -433,7 +433,7 @@ class Script(scripts.Script):
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if opt.label == 'Nothing':
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return [0]
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valslist = [x.strip() for x in chain.from_iterable(csv.reader(StringIO(vals))) if x]
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valslist = [x.strip() for x in chain.from_iterable(csv.reader(StringIO(vals)))]
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if opt.type == int:
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valslist_ext = []
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@@ -499,12 +499,6 @@ 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 * 1000000 * 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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