stabilityai
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stable-audio-3-optimized

audio-generation

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mattricesound commited on 2 days ago

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@@ -103,8 +103,7 @@ torchaudio.save("output.wav", output, sample_rate)
 ## Model Details
 * **Model type**: `Stable Audio 3` is a latent diffusion model based on a transformer architecture.
 * **Language(s)**: English
-* **License**: [Stability AI Community License](https://huggingface.co/stabilityai/stable-audio-3/blob/main/LICENSE.md).
-* **Commercial License**: to use this model commercially, please refer to [https://stability.ai/license](https://stability.ai/license)
 * **Research Paper**: [https://arxiv.org/abs/2605.17991](https://arxiv.org/abs/2605.17991)
 We use a publicly available pre-trained T5Gemma model ([t5gemma-b-b-ul2](https://huggingface.co/google/t5gemma-b-b-ul2)) for text conditioning. T5Gemma is redistributed under the [Gemma Terms of Use](LICENSE_GEMMA.md).

 ## Model Details
 * **Model type**: `Stable Audio 3` is a latent diffusion model based on a transformer architecture.
 * **Language(s)**: English
+* **License**: [Stability AI Community License](https://stability.ai/license).
 * **Research Paper**: [https://arxiv.org/abs/2605.17991](https://arxiv.org/abs/2605.17991)
 We use a publicly available pre-trained T5Gemma model ([t5gemma-b-b-ul2](https://huggingface.co/google/t5gemma-b-b-ul2)) for text conditioning. T5Gemma is redistributed under the [Gemma Terms of Use](LICENSE_GEMMA.md).