app.py

import gradio as gr
import torch
from diffusers import StableDiffusionPipeline

model_id = "CompVis/stable-diffusion-v1-4"
device = "cuda"

pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to(device)

def greet(name):
    prompt = name
    image = pipe(prompt).images[0]  
    
    image.save(prompt+".png")
    return "done"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()