| from diffusers import DiffusionPipeline | |
| import gradio as gr | |
| def gen(text): | |
| pipeline = DiffusionPipeline.from_pretrained("PublicPrompts/All-In-One-Pixel-Model") | |
| return pipeline(text).images[0] | |
| gr.Interface(fn=gen,inputs='text' | |
| ,outputs='image' | |
| ).launch() | |