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Update app.py
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app.py
CHANGED
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@@ -2,26 +2,19 @@ import gradio as gr
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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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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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# 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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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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gr.Info('Generating images from intermediate layers..')
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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((images[0], f'layer_{12 - skip_layers}'))
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yield all_images
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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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demo.launch()
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