Instructions to use Hyeon2/riffusion-musiccaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hyeon2/riffusion-musiccaps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hyeon2/riffusion-musiccaps", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Duration
#3
by bernland - opened
The default duration is 5 seconds. Is there a way to have riffusion generate longer pieces? Thank you!
You have to fix parameters in cli.py, spectogram_parameters.py ... etc in riffusion github repository.