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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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---
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<h1 align="center">ACE-Step 1.5</h1>
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library_name: transformers
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license: mit
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pipeline_tag: text-to-audio
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tags:
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- audio
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- music
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- text2music
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<h1 align="center">ACE-Step 1.5</h1>
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