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SongBloom
rsxdalv/SongBloom
SongBloom is a machine learning model from rsxdalv. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for songbloom. The card lists the license as apache-2.0.
We propose SongBloom, a novel framework for full-length song generation that leverages an interleaved paradigm of autoregressive sketching and diffusion-based refinement. SongBloom employs an autoregressive diffusion…
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At a glance
- Library
- songbloom
- License
- apache-2.0
- Access
- Public
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025
- SHA
- 09335170
Model card
From the Hugging Face model README
Introduction
We propose SongBloom, a novel framework for full-length song generation that leverages an interleaved paradigm of autoregressive sketching and diffusion-based refinement. SongBloom employs an autoregressive diffusion model that combines the high fidelity of diffusion models with the scalability of language models. Specifically, it gradually extends a musical sketch from short to long and refines the details from coarse to fine-grained. The interleaved generation paradigm effectively integrates prior semantic and acoustic context to guide the generation process. Experimental results demonstrate that SongBloom outperforms existing methods across both subjective and objective metrics and achieves performance comparable to the state-of-the-art commercial music generation platforms.
Model Configuration
TODO
Papers
- Library
- songbloom
- License
- apache-2.0
- Languages
- en, zh
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025