| import gradio as gr | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| pipe = StableDiffusionPipeline.from_pretrained( | |
| "stabilityai/stable-diffusion-2-1", | |
| torch_dtype=torch.float16 | |
| ).to("cpu") | |
| def generate(prompt): | |
| image = pipe(prompt).images[0] | |
| return image | |
| demo = gr.Interface(fn=generate, inputs="text", outputs="image") | |
| demo.launch() | |