app.py

from diffusers import DiffusionPipeline
import gradio as gr

model_id = "CompVis/ldm-text2im-large-256"

# load text input to diffusion pipeline
ldm = DiffusionPipeline.from_pretrained(model_id)

def generate_image(Prompt):

  images = ldm([Prompt], num_inference_steps=50, eta=.3, guidance_scale=6)
  return images.images[0]

interface = gr.Interface(fn = generate_image,inputs = "text",outputs = "image",title = "Mashdemy Demo Image Generator App", description = "Type in a text and click submit to generate an image:", examples = ["a clown riding a lion", "a mouse using a laptop"])
interface.launch(share = True)