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
Update README.md
Browse files
README.md
CHANGED
|
@@ -20,8 +20,6 @@ tags:
|
|
| 20 |
<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
|
| 21 |
</p>
|
| 22 |
|
| 23 |
-
> ⚠️ **Early Release:** This turbo model is still under evaluation. Quality may improve in future updates.
|
| 24 |
-
|
| 25 |
## Model Details
|
| 26 |
|
| 27 |
This is the **XL (4B) Turbo** variant of ACE-Step 1.5 — a distillation-accelerated model that generates high-quality audio in just 8 steps. Combines the speed of turbo with the quality of the 4B architecture.
|
|
|
|
| 20 |
<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
|
| 21 |
</p>
|
| 22 |
|
|
|
|
|
|
|
| 23 |
## Model Details
|
| 24 |
|
| 25 |
This is the **XL (4B) Turbo** variant of ACE-Step 1.5 — a distillation-accelerated model that generates high-quality audio in just 8 steps. Combines the speed of turbo with the quality of the 4B architecture.
|