import gradio as gr
import spaces
import torch
from diffusers import DiffusionPipeline


model_name = 'UnfilteredAI/NSFW-gen-v2'
pipe = DiffusionPipeline.from_pretrained(
    model_name,
    torch_dtype=torch.float16
)
pipe.to('cuda')

@spaces.GPU
def generate(prompt):
    return pipe(prompt, num_inference_steps=45).images

gr.Interface(
    fn=generate,
    inputs=gr.Text(),
    outputs=gr.Gallery(),
).launch()