Maitreyapatel commited on
Commit
b96d5dc
1 Parent(s): 984b8af

markdown and scheduler changes

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -39,8 +39,9 @@ class AttributionModel:
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  is_cuda = False
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  if torch.cuda.is_available():
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  is_cuda = True
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-
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- self.pipe = StableDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2')#, safety_checker=None, torch_dtype=torch.float16)
 
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  if is_cuda:
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  self.pipe = self.pipe.to("cuda")
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  self.resize_transform = transforms.Resize(512, interpolation=transforms.InterpolationMode.BILINEAR)
@@ -140,7 +141,6 @@ Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffu
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  gr.Markdown(
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  """<h3>Demo: Text-to-Image (Stable diffusion 2) with random user attribution</h3>
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- WOUAF can be applied to other applications such as In-painting, Image-editing, Image Super-Resolution etc.
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  <br>More details at: <a href="https://arxiv.org/abs/2306.04744">Paper</a>
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  """
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  )
@@ -171,7 +171,7 @@ Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffu
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  )
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  with gr.Row():
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- steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=45, step=1)
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  guidance_scale = gr.Slider(
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  label="Guidance Scale", minimum=0, maximum=10, value=9, step=0.1
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  )
 
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  is_cuda = False
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  if torch.cuda.is_available():
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  is_cuda = True
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+
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+ scheduler = EulerDiscreteScheduler.from_pretrained('stabilityai/stable-diffusion-2', subfolder="scheduler")
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+ self.pipe = StableDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2', scheduler=scheduler)#, safety_checker=None, torch_dtype=torch.float16)
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  if is_cuda:
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  self.pipe = self.pipe.to("cuda")
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  self.resize_transform = transforms.Resize(512, interpolation=transforms.InterpolationMode.BILINEAR)
 
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  gr.Markdown(
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  """<h3>Demo: Text-to-Image (Stable diffusion 2) with random user attribution</h3>
 
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  <br>More details at: <a href="https://arxiv.org/abs/2306.04744">Paper</a>
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  """
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  )
 
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  )
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  with gr.Row():
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+ steps = gr.Slider(label="Steps", minimum=45, maximum=55, value=50, step=1)
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  guidance_scale = gr.Slider(
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  label="Guidance Scale", minimum=0, maximum=10, value=9, step=0.1
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  )