multimodalart HF Staff commited on
Commit
65e514e
·
verified ·
1 Parent(s): 692aad2

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +10 -11
app.py CHANGED
@@ -129,13 +129,13 @@ def generate(
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  image,
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  prompt,
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  conditioning,
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- negative_prompt,
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- seed,
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- randomize_seed,
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- controlnet_conditioning_scale,
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- guidance_scale,
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- num_inference_steps,
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- prompt_enhance,
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  progress=gr.Progress(track_tqdm=True),
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  ):
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  if image is None:
@@ -208,7 +208,6 @@ with gr.Blocks(css=css, theme=gr.themes.Citrus()) as demo:
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  with gr.Column(scale=1):
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  generated_image_output = gr.Image(label="Generated Image", interactive=False)
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  control_image_output = gr.Image(label="Control Image (Preprocessor Output)", interactive=False)
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- used_seed = gr.Number(label="Used Seed", interactive=False)
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  gr.Examples(
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  examples=[
@@ -217,15 +216,15 @@ with gr.Blocks(css=css, theme=gr.themes.Citrus()) as demo:
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  ["dog.jpg", "A cat on the park", "Soft Edge"]
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  ],
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  inputs=[input_image, prompt, conditioning],
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- outputs=[generated_image_output, control_image_output, used_seed],
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  fn=generate,
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- cache_examples=os.getenv("GRADIO_CACHE_EXAMPLES", "False") == "True",
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  )
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  run_button.click(
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  fn=generate,
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  inputs=[input_image, prompt, conditioning, negative_prompt, seed, randomize_seed, controlnet_conditioning_scale, guidance_scale, num_inference_steps, prompt_enhance],
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- outputs=[generated_image_output, control_image_output, used_seed],
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  api_name="generate"
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  )
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  image,
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  prompt,
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  conditioning,
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+ negative_prompt="worst quality, low quality, blurry, text, watermark, logo",
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+ seed=42,
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+ randomize_seed=False,
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+ controlnet_conditioning_scale=0.8,
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+ guidance_scale=5.0,
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+ num_inference_steps=50,
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+ prompt_enhance=True,
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  progress=gr.Progress(track_tqdm=True),
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  ):
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  if image is None:
 
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  with gr.Column(scale=1):
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  generated_image_output = gr.Image(label="Generated Image", interactive=False)
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  control_image_output = gr.Image(label="Control Image (Preprocessor Output)", interactive=False)
 
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  gr.Examples(
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  examples=[
 
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  ["dog.jpg", "A cat on the park", "Soft Edge"]
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  ],
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  inputs=[input_image, prompt, conditioning],
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+ outputs=[generated_image_output, control_image_output, seed],
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  fn=generate,
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+ cache_examples="lazy",
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  )
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  run_button.click(
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  fn=generate,
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  inputs=[input_image, prompt, conditioning, negative_prompt, seed, randomize_seed, controlnet_conditioning_scale, guidance_scale, num_inference_steps, prompt_enhance],
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+ outputs=[generated_image_output, control_image_output, seed],
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  api_name="generate"
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  )
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