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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)
return prompt
def generate_images(prompt):
print('calling diffusion lens')
images = get_images(prompt, skip_layers=1)
print('after call images')
return images[0]
with gr.Blocks() as demo:
text_input = gr.Interface(fn=generate_images, inputs="text", outputs="image")
demo.launch()
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