| import gradio as gr | |
| import requests | |
| import os | |
| name = "runwayml/stable-diffusion-v1-5" | |
| model = gr.Interface.load(f"models/{name}") | |
| o = os.getenv("P") | |
| h = "Q" | |
| def ac(): | |
| def im_fn(put): | |
| if h == o: | |
| return model(put, negative_prompt="blury") | |
| elif h != o: | |
| return(None) | |
| with gr.Blocks() as b: | |
| put = gr.Textbox() | |
| out = gr.Image() | |
| btn = gr.Button() | |
| btn.click(im_fn,put,out) | |
| b.queue(concurrency_count=100).launch() | |
| ac() |