Instructions to use niobures/StableAudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use niobures/StableAudio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("niobures/StableAudio", 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
Download stable-audio-3-optimized/MLX/same_s_decoder_f32.npz from niobures/StableAudio: direct link, hf CLI and curl.
- Browser
- Download file 218 MB
-
https://huggingface.co/niobures/StableAudio/resolve/main/stable-audio-3-optimized/MLX/same_s_decoder_f32.npz
- Command line
-
hf download hf://niobures/StableAudio/stable-audio-3-optimized/MLX/same_s_decoder_f32.npz
-
curl -L -o same_s_decoder_f32.npz https://huggingface.co/niobures/StableAudio/resolve/main/stable-audio-3-optimized/MLX/same_s_decoder_f32.npz
218 MB
- Xet hash:
- 81cb184f4a654d2ab3c4456aed26f0d5aecba03c18bf0e9d8e3fe1e64f01f6ae
- Size of remote file:
- 218 MB
- SHA256:
- 909928a8e6937c1ebe6ac4b729f0462bd3773704a11ea18278e42671dc69bfe4
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