app.py

from diffusers import StableDiffusionPipeline
import torch

model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision="fp16")
#pipe = pipe.to("cuda")

#prompt = "a photo of an astronaut riding a horse on mars"
def gen(prompt):
    image = pipe(prompt).images[0]
    return image

import gradio as gr

d = gr.Interface(gen,inputs="text", outputs=['image', 'image'])
d.launch(debug=True)