sidharthg commited on
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8a30615
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1 Parent(s): 40227ee

Upload app.py

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Files changed (1) hide show
  1. app.py +7 -12
app.py CHANGED
@@ -11,7 +11,7 @@ def apply_patches():
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  # 1. Fix tqdm Jupyter/Thread Error
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  try:
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- import tqdm
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  if not hasattr(tqdm, '_is_patched'):
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  import tqdm.notebook
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  import tqdm.std
@@ -121,8 +121,8 @@ def custom_sampling_loop(prompt, pipe, guidance_scale=7.5, contrast_scale=0.0, c
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  latents = torch.randn((num_images, pipe.unet.config.in_channels, 512 // 8, 512 // 8), generator=generator, device=device, dtype=dtype)
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  pipe.scheduler.set_timesteps(num_inference_steps)
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  latents = latents * pipe.scheduler.init_noise_sigma
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- import tqdm
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- for t in tqdm.auto.tqdm(pipe.scheduler.timesteps):
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  latent_model_input = torch.cat([latents] * 2)
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  latent_model_input = pipe.scheduler.scale_model_input(latent_model_input, t)
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  with torch.no_grad():
@@ -284,7 +284,8 @@ def generate_all_styles(prompt, seed1, seed2, seed3, seed4, seed5, seed6, num_in
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  return all_images[0], all_images[1], all_images[2], all_images[3], all_images[4], all_images[5], "\n\n---\n\n".join(info_texts)
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  # Create Gradio interface
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- with gr.Blocks(title="Stable Diffusion Style Explorer", theme=gr.themes.Soft()) as demo:
 
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  gr.Markdown("""
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  # 🎨 Stable Diffusion Style Explorer
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@@ -540,13 +541,7 @@ with gr.Blocks(title="Stable Diffusion Style Explorer", theme=gr.themes.Soft())
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- # Launch the app
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  if __name__ == "__main__":
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- import gradio.routes
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-
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- def disable_api_info(*args, **kwargs):
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- return {}
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- gradio.routes.get_api_info = disable_api_info
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-
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- demo.launch(server_name="0.0.0.0", server_port=7860)
 
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  # 1. Fix tqdm Jupyter/Thread Error
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  try:
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+ from tqdm.auto import tqdm
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  if not hasattr(tqdm, '_is_patched'):
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  import tqdm.notebook
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  import tqdm.std
 
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  latents = torch.randn((num_images, pipe.unet.config.in_channels, 512 // 8, 512 // 8), generator=generator, device=device, dtype=dtype)
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  pipe.scheduler.set_timesteps(num_inference_steps)
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  latents = latents * pipe.scheduler.init_noise_sigma
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+ from tqdm.auto import tqdm
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+ for t in tqdm(pipe.scheduler.timesteps):
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  latent_model_input = torch.cat([latents] * 2)
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  latent_model_input = pipe.scheduler.scale_model_input(latent_model_input, t)
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  with torch.no_grad():
 
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  return all_images[0], all_images[1], all_images[2], all_images[3], all_images[4], all_images[5], "\n\n---\n\n".join(info_texts)
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  # Create Gradio interface
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+ with gr.Blocks(title="Stable Diffusion Style Explorer") as demo:
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+
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  gr.Markdown("""
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  # 🎨 Stable Diffusion Style Explorer
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  if __name__ == "__main__":
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+ demo.launch(server_name="0.0.0.0", server_port=7860,
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+ theme=gr.themes.Soft())
 
 
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