| import gradio as gr | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| pipe = StableDiffusionPipeline.from_pretrained( | |
| "runwayml/stable-diffusion-v1-5", | |
| ).to("cpu") | |
| def generate(prompt): | |
| image = pipe(prompt).images[0] | |
| return image | |
| gr.Interface(fn=generate, inputs="text", outputs="image").launch() |