Text-to-Audio
Transformers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use ACE-Step/acestep-v15-turbo-continuous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/acestep-v15-turbo-continuous with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ACE-Step/acestep-v15-turbo-continuous", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACE-Step/acestep-v15-turbo-continuous", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Difference between turbo model variants.
#1
by nymical - opened
First of all, thank you for open-sourcing these models!
Can you please elaborate on the differences between the turbo models, namely, turbo continuous, shift1 and shift3?
Most importantly, what should we expect when using either of these.
Okay, I found the differences here.
https://github.com/ace-step/ACE-Step-1.5/blob/main/docs/en/Tutorial.md
nymical changed discussion status to closed