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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",cache_examples=False, 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)