Spaces:
Running
on
Zero
Running
on
Zero
fix
Browse files
app.py
CHANGED
@@ -266,6 +266,53 @@ css = """
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}
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"""
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("# Multi-Model Image Generation")
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@@ -352,54 +399,11 @@ with gr.Blocks(css=css) as demo:
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)
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refresh_button = gr.Button("Refresh Gallery",visible=True)
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files = get_generated_images()
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return [
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(f["path"], f"{f['name']}\n{f['date']}")
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for f in files
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]
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@spaces.GPU(duration=400)
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def generate_all(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps,
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progress=gr.Progress()):
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outputs = [None] * (len(MODEL_CONFIGS) * 2)
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for idx, model_name in enumerate(MODEL_CONFIGS.keys()):
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try:
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# Display progress for the specific model
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# progress(0, desc=f"Starting generation for {model_name}...")
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print(f"IMAGE GENERATING {model_name} ")
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image, used_seed = generate_image(
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model_name, prompt, negative_prompt, seed,
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randomize_seed, width, height, guidance_scale,
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num_inference_steps, progress
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)
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print(f"IMAGE GENERATIED {model_name} ")
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# Update the respective model's tab with the generated image
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# results[model_name].update(image)
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# seeds[model_name].update(used_seed)
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outputs[idx * 2] = image # Image slot
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outputs[idx * 2 + 1] = seed # Seed slot
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# outputs.extend([image, used_seed])
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# Add intermediate results to progress * (len(all_outputs) - len(all_outputs))
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print("YELID")
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yield outputs + [None]
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except Exception as e:
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print(f"Error generating with {model_name}: {str(e)}")
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outputs[idx * 2] = None
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outputs[idx * 2 + 1] = None
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# Update the gallery after generation
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gallery_images = update_gallery()
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# file_gallery.update(value=gallery_images)
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return outputs
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output_components = []
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for model_name in MODEL_CONFIGS.keys():
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@@ -420,12 +424,6 @@ with gr.Blocks(css=css) as demo:
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outputs=output_components,
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)
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refresh_button.click(
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fn=update_gallery,
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inputs=[],
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outputs=[file_gallery],
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)
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demo.load(
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fn=update_gallery,
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inputs=[],
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}
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"""
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@spaces.GPU(duration=400)
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def generate_all(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps,
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progress=gr.Progress()):
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outputs = [None] * (len(MODEL_CONFIGS) * 2)
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for idx, model_name in enumerate(MODEL_CONFIGS.keys()):
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try:
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# Display progress for the specific model
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# progress(0, desc=f"Starting generation for {model_name}...")
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print(f"IMAGE GENERATING {model_name} ")
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image, used_seed = generate_image(
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model_name, prompt, negative_prompt, seed,
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randomize_seed, width, height, guidance_scale,
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num_inference_steps, progress
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)
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print(f"IMAGE GENERATIED {model_name} ")
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# Update the respective model's tab with the generated image
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# results[model_name].update(image)
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# seeds[model_name].update(used_seed)
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outputs[idx * 2] = image # Image slot
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outputs[idx * 2 + 1] = seed # Seed slot
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# outputs.extend([image, used_seed])
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# Add intermediate results to progress * (len(all_outputs) - len(all_outputs))
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print("YELID")
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yield outputs + [None]
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except Exception as e:
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print(f"Error generating with {model_name}: {str(e)}")
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outputs[idx * 2] = None
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outputs[idx * 2 + 1] = None
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# Update the gallery after generation
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gallery_images = update_gallery()
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# file_gallery.update(value=gallery_images)
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return outputs
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def update_gallery():
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"""Update the file gallery"""
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files = get_generated_images()
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return [
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(f["path"], f"{f['name']}\n{f['date']}")
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for f in files
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]
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("# Multi-Model Image Generation")
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)
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refresh_button = gr.Button("Refresh Gallery",visible=True)
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refresh_button.click(
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fn=update_gallery,
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inputs=[],
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outputs=[file_gallery],
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)
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output_components = []
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for model_name in MODEL_CONFIGS.keys():
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outputs=output_components,
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)
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demo.load(
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fn=update_gallery,
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inputs=[],
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