app.py

from diffusers import StableDiffusionPipeline
import torch
import gradio as gr
def run(prompt):
  model_id = "runwayml/stable-diffusion-v1-5"
  pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
  # pipe = pipe.to("cuda")
  image = pipe(prompt).images[0]  
  return image

gr.Interface(
    run,
    title = 'Text-To-Image',
    inputs="text",
    outputs = "image"
).launch()