multimodalart HF Staff commited on
Commit
d4a6143
·
verified ·
1 Parent(s): 733b86d

Update app.py

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Files changed (1) hide show
  1. app.py +19 -2
app.py CHANGED
@@ -275,8 +275,25 @@ def infer(
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  progress=gr.Progress(track_tqdm=True),
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  ):
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  """
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- Generates an image using the local Qwen-Image diffusers pipeline.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """
 
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  # Hardcode the negative prompt as requested
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  negative_prompt = " "
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@@ -454,4 +471,4 @@ with gr.Blocks(css=css) as demo:
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  )
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  if __name__ == "__main__":
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- demo.launch()
 
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  progress=gr.Progress(track_tqdm=True),
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  ):
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  """
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+ Run image-editing inference using the Qwen-Image-Edit pipeline.
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+
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+ Parameters:
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+ images (list): Input images from the Gradio gallery (PIL or path-based).
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+ prompt (str): Editing instruction (may be rewritten by LLM if enabled).
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+ seed (int): Random seed for reproducibility.
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+ randomize_seed (bool): If True, overrides seed with a random value.
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+ true_guidance_scale (float): CFG scale used by Qwen-Image.
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+ num_inference_steps (int): Number of diffusion steps.
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+ height (int | None): Optional output height override.
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+ width (int | None): Optional output width override.
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+ rewrite_prompt (bool): Whether to rewrite the prompt using Qwen-2.5-VL.
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+ num_images_per_prompt (int): Number of images to generate.
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+ progress: Gradio progress callback.
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+
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+ Returns:
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+ tuple: (generated_images, seed_used, UI_visibility_update)
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  """
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+
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  # Hardcode the negative prompt as requested
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  negative_prompt = " "
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  )
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  if __name__ == "__main__":
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+ demo.launch(mcp_server=True)