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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() |