app.py

import gradio as gr
import numpy as np
import random
from diffusers import DiffusionPipeline
import torch

from diffusers import DiffusionPipeline
import gradio as gr
model_id = "CompVis/ldm-text2im-large-256"
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
reading a book", "a cat using a laptop", "An elephant on grass"])
interface.launch(share = True)