ford442 commited on
Commit
18e0122
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verified ·
1 Parent(s): 775ee85

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -107,9 +107,9 @@ def load_and_prepare_model(model_id):
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  #pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
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  pipe = StableDiffusionXLPipeline.from_pretrained(
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- #'ford442/RealVisXL_V5.0_BF16',
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  #'John6666/pornworks-sexy-beauty-v04-sdxl',
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- 'John6666/uber-realistic-porn-merge-xl-urpmxl-v3-sdxl',
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  #'ford442/Juggernaut-XI-v11-fp32',
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  # 'SG161222/RealVisXL_V5.0',
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  #torch_dtype=torch.bfloat16,
@@ -510,14 +510,14 @@ with gr.Blocks(theme=gr.themes.Origin(),css=css) as demo:
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  minimum=0.1,
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  maximum=30,
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  step=0.1,
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- value=4,
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  )
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  num_inference_steps = gr.Slider(
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  label="Number of inference steps",
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  minimum=10,
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  maximum=1000,
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  step=10,
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- value=150,
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  )
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  gr.Examples(
 
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  #pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
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  pipe = StableDiffusionXLPipeline.from_pretrained(
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+ 'ford442/RealVisXL_V5.0_BF16',
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  #'John6666/pornworks-sexy-beauty-v04-sdxl',
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+ #'John6666/uber-realistic-porn-merge-xl-urpmxl-v3-sdxl',
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  #'ford442/Juggernaut-XI-v11-fp32',
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  # 'SG161222/RealVisXL_V5.0',
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  #torch_dtype=torch.bfloat16,
 
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  minimum=0.1,
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  maximum=30,
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  step=0.1,
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+ value=3.8,
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  )
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  num_inference_steps = gr.Slider(
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  label="Number of inference steps",
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  minimum=10,
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  maximum=1000,
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  step=10,
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+ value=170,
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  )
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  gr.Examples(