| pip install difussers | |
| import gradio as gr | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| def stable(prompt): | |
| pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float32) | |
| return pipeline(prompt).images[0] | |
| demo = gr.Interface(fn=stable, inputs="text", outputs="image") | |
| demo.launch() |