import gradio as gr
from PIL import Image
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("CompVis/ldm-super-resolution-4x-openimages")




def greet(name):
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
    print("IMAGE: \n",image)
    return image

demo = gr.Interface(fn=greet, inputs="text", outputs=gr.Image(type="pil"))
demo.launch()