app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained(
    "CompVis/stable-diffusion-v1-4", 
    torch_dtype=torch.float16, 
    revision="fp16",
    safety_checker=None
).to("cuda")

def generate(prompt):
    image = pipe(prompt).images[0]
    return image

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