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| import gradio as gr | |
| import sys | |
| # sys.path.append("LaVi-Bridge/test") | |
| # from llama2_unet_diffusion_lens import call_diffusion_lens | |
| from diffusion_lens import get_images | |
| import gradio as gr | |
| import os | |
| import subprocess | |
| def display_images(images): | |
| # Prepare images for display | |
| return [gr.Image(image) for image in images] | |
| # def get_prompt(prompt): | |
| # print('prompt:', prompt) | |
| # print('calling diffusion lens') | |
| # image = get_images(prompt, skip_layers=0) | |
| # return image | |
| # | |
| # if __name__ == '__main__': | |
| # with gr.Blocks() as demo: | |
| # gallery = gr.Gallery( | |
| # label="Generated images", show_label=False, elem_id="gallery", | |
| # columns=[1], rows=[1], object_fit="contain", height="auto") | |
| # btn = gr.Button("Generate images", scale=0) | |
| # | |
| # btn.click(get_prompt, 'text', gallery) | |
| # | |
| # demo.launch() | |
| def get_prompt(prompt): | |
| print('prompt:', prompt) | |
| print('calling diffusion lens') | |
| for skip_layers in range(24): # loop from 0 to 23 | |
| image = get_images(prompt, skip_layers=skip_layers) | |
| gallery.update(image) # update the gallery with the new image | |
| return "Images generated" | |
| with gr.Blocks() as demo: | |
| gallery = gr.Gallery( | |
| label="Generated images", show_label=False, elem_id="gallery", | |
| columns=[6], rows=[4], object_fit="contain", height="auto") # set rows to 24 to accommodate all images | |
| btn = gr.Button("Generate images", scale=0) | |
| text_input = gr.Interface(fn=get_prompt, inputs="text", outputs='Gallery') | |
| btn.click(get_prompt, text_input, gallery) # pass the text input interface to btn.click() | |
| demo.launch() |