Text-to-Audio
Transformers
Diffusers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use ACE-Step/Ace-Step1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/Ace-Step1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ACE-Step/Ace-Step1.5", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACE-Step/Ace-Step1.5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
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<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
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<a href="https://modelscope.cn/models/ACE-Step/ACE-Step-v1
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<a href="https://huggingface.co/spaces/ACE-Step/Ace-Step-v1.5">Space Demo</a> |
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<a href="https://discord.gg/PeWDxrkdj7">Discord</a>
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<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
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<p align="center">
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<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
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<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
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<a href="https://modelscope.cn/models/ACE-Step/ACE-Step-v1.5">ModelScope</a> |
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<a href="https://huggingface.co/spaces/ACE-Step/Ace-Step-v1.5">Space Demo</a> |
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<a href="https://discord.gg/PeWDxrkdj7">Discord</a>
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<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
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