Frontier Tower AI Paper Reading Club - Week 19 - Stable Audio 3

​Weekly paper: Stable Audio 3 - https://arxiv.org/abs/2605.17991

Abstract: "Stable Audio 3 is a family of fast latent diffusion models (small, medium, large) for variable-length audio generation and editing. Since our models can generate several minutes of audio, variable-length generations are key to avoid the cost of producing full-length generations for short sounds. We also support inpainting, enabling targeted audio editing and the continuation of short recordings. Our latent diffusion models operate on top of a novel semantic-acoustic autoencoder that projects audio into a compact latent space, enabling efficient diffusion-based generation while preserving audio fidelity and encouraging semantic structure in the latent. Finally, we run adversarial post-training to both accelerate inference and improve generation quality, reducing the number of inference steps while improving fidelity and prompt adherence. Stable Audio 3 models are trained on licensed and Creative Commons data to generate music and sounds in less than a 2s on an H200 GPU and less than a few seconds on a MacBook Pro M4. We release the weights of small and medium, that can run on consumer-grade hardware, together with their training and inference pipeline."

​What are the group goals? Stay on top of AI research, improve understanding of AI fundamentals+math.

​Who is welcome? Everyone! Try to put in at least some time on the paper and come prepared with questions or things you'd like to discuss, but it's ok to just show up.

​How will it work? Ideally everyone shows up and has at least made one solid pass through the paper, and then we can spend 30-60 minutes as a group going over it.

​This event is hosted at the Frontier Tower:

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