| import gradio as gr | |
| import torch | |
| from torch import autocast | |
| from diffusers import StableDiffusionPipeline | |
| def get_stable_diffusion_random_image(prompt): | |
| model_id = "CompVis/stable-diffusion-v1-4" | |
| device = "cuda" | |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True) | |
| pipe = pipe.to(device) | |
| with autocast("cuda"): | |
| image = pipe(prompt, guidance_scale=7.5)["sample"][0] | |
| print(image) | |
| return image | |
| iface = gr.Interface(fn=get_stable_diffusion_random_image, inputs=["text", "audio"], outputs="video") | |
| iface.launch(share=True) |