app.py

import gradio as gr
from diffusers import DiffusionPipeline
import torch

pipe = DiffusionPipeline.from_pretrained(
    "kpsss34/FHDR_Uncensored",
    torch_dtype=torch.float16
).to("cuda")

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

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

iface.launch()