Text-to-Audio
Diffusers
English
music
art
song-generation
lyrics-to-song
flow-matching
direct-preference-optimization
Instructions to use declare-lab/JAM-0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use declare-lab/JAM-0.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("declare-lab/JAM-0.5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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<h1>JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment</h1>
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[](https://arxiv.org/abs/2507.) [](https://huggingface.co/declare-lab/JAM-0.5) [](https://declare-lab.github.io/jamify)
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<h1>JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment</h1>
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[](https://arxiv.org/abs/2507.) [](https://huggingface.co/declare-lab/JAM-0.5) [](https://declare-lab.github.io/jamify) [](https://github.com/declare-lab/jamify)
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