README.md

---
license: other
license_name: stabilityai-community
license_link: LICENSE.md
base_model: stabilityai/stable-audio-open-1.0
pipeline_tag: text-to-audio
library_name: stable-audio-tools
tags:
  - text-to-audio
  - latent-diffusion
  - stereo
  - 44100hz
---

# stable-audio-open-1.0

Generates variable-length (up to 47 s) stereo audio at 44.1 kHz from text prompts. Latent diffusion architecture with an autoencoder, a T5 text encoder, and a transformer-based diffusion (DiT) operating in the autoencoder's latent space.

This repository is an unmodified redistribution of [`stabilityai/stable-audio-open-1.0`](https://huggingface.co/stabilityai/stable-audio-open-1.0). Weights, configs, license, and dataset attribution files are preserved verbatim.

## Files

- `model.safetensors` (~4.85 GB) — primary weights.
- `model.ckpt` (~4.85 GB) — same weights in `.ckpt` format for `stable_audio_tools`.
- `model_config.json`, `model_index.json` — pipeline configs.
- `LICENSE.md` — Stability AI Community License (verbatim).
- `fma_dataset_attribution2.csv`, `freesound_dataset_attribution2.csv` — training-data attribution (required by the license).

## Inference

```python
import torch
import torchaudio
from einops import rearrange
from stable_audio_tools import get_pretrained_model
from stable_audio_tools.inference.generation import generate_diffusion_cond

device = "cuda" if torch.cuda.is_available() else "cpu"
model, model_config = get_pretrained_model("cudabenchmarktest/stable-audio-open-1.0")
sample_rate = model_config["sample_rate"]
sample_size = model_config["sample_size"]
model = model.to(device)

conditioning = [{"prompt": "128 BPM tech house drum loop", "seconds_start": 0, "seconds_total": 30}]
output = generate_diffusion_cond(
    model, steps=100, cfg_scale=7, conditioning=conditioning,
    sample_size=sample_size, sigma_min=0.3, sigma_max=500,
    sampler_type="dpmpp-3m-sde", device=device,
)
output = rearrange(output, "b d n -> d (b n)")
output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
torchaudio.save("output.wav", output, sample_rate)
```

## License and attribution

Governed by the **Stability AI Community License Agreement** (see `LICENSE.md`). Permits research, non-commercial use, and commercial use for organizations or individuals with less than $1M USD in total annual revenue. Above that threshold a separate Stability Enterprise license is required.

Training-data attribution: see the FMA and Freesound CSV files. Distribution of these attribution files alongside the weights is a license requirement and is preserved here.

- Original release: Stability AI (`stabilityai/stable-audio-open-1.0`).
- This redistribution: weights and configs unmodified, LICENSE preserved, README replaced. No additional modifications.