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
What exactly is the SFT model post-trained on?
#23
by Phaserblast - opened
The SFT model is fine-tuned from the base model, but I can't find any documentation on ๐what.๐ Like, what genre(s) of music is this more likely to generate in the "high" quality as explained in the docs? Please explain because if you're targeting a particular style of music, it would be helpful to know what this is tuned on.