Text-to-Audio
Transformers
Safetensors
ACE-Step
image-feature-extraction
feature-extraction
audio
music
text2music
custom_code
Instructions to use ACE-Step/acestep-v15-xl-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/acestep-v15-xl-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ACE-Step/acestep-v15-xl-turbo", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACE-Step/acestep-v15-xl-turbo", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- facfecb98896340eb5df7e06efdeccafe182408d2ea04ce4a99623bf4bfa5c9e
- Size of remote file:
- 4.99 GB
- SHA256:
- a868b05493c73808408f58b33a903371bb2846b53c8b19bd7476991bc8837259
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