stable-audio-tools
Source: https://github.com/stability-ai/stable-audio-tools
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Stability AI's training and inference code for conditional audio generation models (the codebase behind Stable Audio Open). Requires PyTorch 2.5+ and supports multi-GPU training with PyTorch Lightning and optional W&B logging.",
"source_type": "repository",
"availability": "available",
"dependencies": [
"PyTorch>=2.5"
],
"source_owner": "Stability AI",
"next_check_at": "2026-10-20T00:00:00.000Z",
"upstream_updated_at": "2026-10-09T19:13:43.000Z"
}Evidence claims
- [upstream_claim] README: training and inference code for audio generation models; requires PyTorch 2.5 or later; development on Python 3.10 using uv; checkpoints can be loaded from Hugging Face via a model-config option. · locator: README, Install and usage source
- [sourced_fact] README: training uses PyTorch Lightning for multi-GPU/multi-node and a Weights & Biases account for logging; unwrap_model.py strips the training wrapper from checkpoints. · locator: README, training section source
- [sourced_fact] GitHub metadata: MIT, not archived, last push 2026-10-09. · locator: repository metadata source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | MIT | permitted | permitted | permitted | unknown | MIT per GitHub; model weights are licensed separately (see Stable Audio Open). |