| from diffusers import DiffusionPipeline | |
| import gradio as gr | |
| pipe = DiffusionPipeline.from_pretrained("riffusion/riffusion-model-v1") | |
| pipe.to("cpu") # Safe for any system | |
| def generate_music(prompt): | |
| output = pipe(prompt) | |
| audio = output["audio"] | |
| return audio | |
| gr.Interface( | |
| fn=generate_music, | |
| inputs=gr.Textbox(label="Describe your music"), | |
| outputs=gr.Audio(label="AI Song"), | |
| title="LarynxLab - Riffusion Edition" | |
| ).launch() |