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Stable Audio 3 Small SFX

Stable Audio 3 Small SFX is a latent diffusion model designed for generating and editing audio. It supports variable-length audio generation and inpainting, making it ideal for creating and editing short sound effects efficiently.

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Stable Audio 3 Small SFX is part of a family of latent diffusion models developed by Stability AI, tailored for audio generation and editing. This model is particularly suited for creating short sound effects, leveraging its ability to generate variable-length audio efficiently. The model operates on a novel semantic-acoustic autoencoder, which projects audio into a compact latent space. This approach ensures efficient diffusion-based generation while maintaining audio fidelity and encouraging semantic structure.

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The model is trained on a diverse dataset comprising 1,278,902 audio recordings, sourced from licensed and Creative Commons data. This includes 806,284 recordings licensed from AudioSparx and 472,618 from Freesound, with careful filtering to ensure no copyrighted content is included. The Freesound data is licensed under CC-0, CC-BY, or CC-Sampling+ licenses.

Stable Audio 3 Small SFX supports inpainting, allowing for targeted audio editing and continuation of short recordings. This feature is particularly useful for users looking to edit specific parts of an audio file without affecting the entire track. The model's architecture is based on a transformer, and it utilizes a pre-trained T5Gemma model for text conditioning, which is redistributed under the Gemma Terms of Use.

The model is designed to run efficiently on consumer-grade hardware, with the small and medium weights released for public use. It can generate audio in less than two seconds on an H200 GPU and in just a few seconds on a MacBook Pro M4. This makes it accessible for both professional and amateur audio creators looking to produce high-quality sound effects quickly.

  • CategoryAI Audio Editors
  • Pricing ModelFree
  • DeploymentCloud
  • PlatformsWeb

  • Latent diffusion model

  • Variable-length audio generation

  • Audio inpainting support

  • Semantic-acoustic autoencoder

  • Adversarial post-training

  • Efficient on consumer-grade hardware

  • Trained on licensed and Creative Commons data

  • Transformer architecture

  1. Access model: Visit Hugging Face page

  2. Authenticate: Agree to license terms

  3. Set up environment: Prepare hardware

  4. Integrate via API: Use stable-audio-3 library

  5. Optimize: Fine-tune for specific needs

  • Audio Generation
  • Audio Editing
  • Music Production
  • Sound Design
  • Creative Projects

From Stability AI

A model in Stable Audio.

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