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
LEGENDS
#5
by raptor660 - opened
THANKYOU SOOO MUCH! Its sooo fast and the quality is awesome
ACE-Step is a literal GOAT. The 1.7B version was good, but now testing out the 4B, It's like a music legend who’s just slapped the industry with a new album.
Wonderful work! I loved ACE STEP v1, because it has his own character. But v1.5 just blows my mind! The quality is amazing and it still has preserved this unique character and creativity. I love it!
Amazing, 10s and 2 songs are generated with good quality. Also a lot of functions in the gui! This is going to keep a lot of people very busy for a long time!