Text-to-Audio
Transformers
Safetensors
ACE-Step
image-feature-extraction
audio
demodokos
music
text2music
custom_code
Instructions to use cmp-nct/acestep-v15-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmp-nct/acestep-v15-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="cmp-nct/acestep-v15-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cmp-nct/acestep-v15-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model
This model is hosted for Demodokos Foundry but it can be used for other purposes, enjoy a stable download location and custom quantizations not available elsewhere.
📖 Citation
Ace Step 1.5:
@misc{gong2026acestep,
title={ACE-Step 1.5: Pushing the Boundaries of Open-Source Music Generation},
author={Junmin Gong, Yulin Song, Wenxiao Zhao, Sen Wang, Shengyuan Xu, Jing Guo},
howpublished={\url{https://github.com/ace-step/ACE-Step-1.5}},
year={2026},
note={GitHub repository}
}
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