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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)