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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() | |