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JAM-0.5

Text-to-Audio
Diffusers
English
music
art
song-generation
lyrics-to-song
flow-matching
direct-preference-optimization
Model card Files
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  <h1>JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment</h1>
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- [![arXiv](https://img.shields.io/badge/Read_the_paper-blue?style=flat&logoColor=blue&link=https%3A%2F%2Farxiv.org%2Fabs%2F)](https://arxiv.org/abs/2507.20880) [![Hugging Face Paper](https://img.shields.io/badge/%F0%9F%A4%97_HuggingFace-Paper-yellow)](https://huggingface.co/papers/2507.20880) [![Static Badge](https://img.shields.io/badge/JAM-Huggingface-violet?style=flat&logo=huggingface&logoColor=blue&link=https%3A%2F%2Fhuggingface.co%2Fdeclare-lab%2FJAM-0.5)](https://huggingface.co/declare-lab/JAM-0.5) [![Static Badge](https://img.shields.io/badge/Project-Jamify-pink?style=flat&logo=homepage&link=https%3A%2F%2Fdeclare-lab.github.io%2Fjamify)](https://declare-lab.github.io/jamify) [![Github](https://img.shields.io/badge/Github-yellow?style=flat&logo=github&link=https%3A%2F%2Fgithub.com%2Fdeclare-lab%2Fjamify
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- )](https://github.com/declare-lab/jamify)
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  JAM is a rectified flow-based model for lyrics-to-song generation that addresses the lack of fine-grained word-level controllability in existing lyrics-to-song models. Built on a compact 530M-parameter architecture with 16 LLaMA-style Transformer layers as the Diffusion Transformer (DiT) backbone, JAM enables precise vocal control that musicians desire in their workflows. Unlike previous models, JAM provides word and phoneme-level timing control, allowing musicians to specify the exact placement of each vocal sound for improved rhythmic flexibility and expressive timing.
 
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  <h1>JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment</h1>
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  <br/>
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+ [![arXiv](https://img.shields.io/badge/Read_the_paper-blue?style=flat&logoColor=blue&link=https%3A%2F%2Farxiv.org%2Fabs%2F)](https://arxiv.org/abs/2507.20880) [![Static Badge](https://img.shields.io/badge/JAM-Huggingface-violet?style=flat&logo=huggingface&logoColor=blue&link=https%3A%2F%2Fhuggingface.co%2Fdeclare-lab%2FJAM-0.5)](https://huggingface.co/declare-lab/JAM-0.5) [![Static Badge](https://img.shields.io/badge/JAME-Dataset-orange?style=flat&logo=huggingface&logoColor=blue&link=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Fdeclare-lab%2FJAME)](https://huggingface.co/datasets/declare-lab/JAME) [![Static Badge](https://img.shields.io/badge/HuggingFace-Space-brightgreen?style=flat&logo=huggingface&link=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fdeclare-lab%2FJAM)](https://huggingface.co/spaces/declare-lab/JAM) [![Github](https://img.shields.io/badge/Github-Code-yellow?style=flat&logo=github&link=https%3A%2F%2Fgithub.com%2Fdeclare-lab%2Fjamify)](https://github.com/declare-lab/jamify) [![Static Badge](https://img.shields.io/badge/Project-Jamify-pink?style=flat&logo=homepage&link=https%3A%2F%2Fdeclare-lab.github.io%2Fjamify)](https://declare-lab.github.io/jamify)
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  JAM is a rectified flow-based model for lyrics-to-song generation that addresses the lack of fine-grained word-level controllability in existing lyrics-to-song models. Built on a compact 530M-parameter architecture with 16 LLaMA-style Transformer layers as the Diffusion Transformer (DiT) backbone, JAM enables precise vocal control that musicians desire in their workflows. Unlike previous models, JAM provides word and phoneme-level timing control, allowing musicians to specify the exact placement of each vocal sound for improved rhythmic flexibility and expressive timing.