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
Download vae/diffusion_pytorch_model.bin from Hyeon2/riffusion-musiccaps: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Hyeon2/riffusion-musiccaps/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Hyeon2/riffusion-musiccaps@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Hyeon2/riffusion-musiccaps/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 0bc7582a5235e95913604ff8fc6021c2ab6926211404f48e3404c25119948d05
- Size of remote file:
- 167 MB
- SHA256:
- 3524731ccb7c457ec5481e252c774463677e51ef4df7fccb6f88534b632acf92
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