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Update app.py
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app.py
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@@ -8,40 +8,20 @@ from diffusion_lens import get_images
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def generate_images(prompt):
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print('calling diffusion lens')
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all_images = [] # Initialize a list to store all images
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for skip_layers in range(11, -1, -1):
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images = get_images(prompt, skip_layers=skip_layers)
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all_images.append(
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with gr.Blocks() as demo:
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text_input = gr.Textbox(label="Enter prompt")
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gallery = gr.Gallery(label="Generated Images", columns=6, rows=2, object_fit="contain", height="auto")
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# button = gr.Button("Diffusion Lens") # Create a button with the label 'Diffusion Lens'
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# Bind the button click to the generate_images function
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# button.click(fn=generate_images, inputs=[text_input, gr.State(all_images)], outputs=gallery)
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text_input.submit(fn=generate_images, inputs=text_input, outputs=gallery)
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demo.launch()
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# def display_images(images):
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# # Prepare images for display
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# return [gr.Image(image) for image in images]
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# def get_prompt(prompt):
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# print('prompt:', prompt)
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# return prompt
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# def generate_images(prompt):
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# print('calling diffusion lens')
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# for skip_layers in range(23, 0, -1):
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# images = get_images(prompt, skip_layers=skip_layers)
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# yield images[0] # Yield each image as soon as it's ready
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# # yield gr.Image(images[0]) # Yield each image as soon as it's ready
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# with gr.Blocks() as demo:
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# text_input = gr.Interface(fn=generate_images, inputs="text", outputs="image")
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# demo.launch()
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def generate_images(prompt):
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print('calling diffusion lens')
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all_images = [] # Initialize a list to store all images
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message = 'Generating images from intermediate layers..)' # Message for the user
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for skip_layers in range(11, -1, -1):
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images = get_images(prompt, skip_layers=skip_layers)
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all_images.append((images[0], f'layer_{12 - skip_layers}'))
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# all_images.append(images[0]) # (images[0], f'layer_{12 - skip_layers}')) # Add the new image to the list
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# yield all_images # Yield the list of all images
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yield all_images, message # Yield the list of all images with labels and the message
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with gr.Blocks() as demo:
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text_input = gr.Textbox(label="Enter prompt")
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gallery = gr.Gallery(label="Generated Images", columns=6, rows=2, object_fit="contain", height="auto")
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# text_input.submit(fn=generate_images, inputs=text_input, outputs=gallery)
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text_input.submit(fn=generate_images, inputs=text_input, outputs=[gallery, message_display])
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demo.launch()
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