app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

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

prompt = "a photo of an astronaut riding a horse on mars"
    
# image.save("astronaut_rides_horse.png")


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

iface = gr.Interface(fn=infer, inputs=gr.Textbox(lines=1, placeholder="Prompt Here..."), outputs=gr.Image(label="stable-diffusion-v1-5",visible=True))
iface.launch()