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