Text-to-Audio
Transformers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use ACE-Step/acestep-v15-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/acestep-v15-sft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ACE-Step/acestep-v15-sft", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACE-Step/acestep-v15-sft", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -16,6 +16,7 @@ tags:
|
|
| 16 |
<a href="https://modelscope.cn/models/ACE-Step/ACE-Step-v1-5">ModelScope</a> |
|
| 17 |
<a href="https://huggingface.co/spaces/ACE-Step/Ace-Step-v1.5">Space Demo</a> |
|
| 18 |
<a href="https://discord.gg/PeWDxrkdj7">Discord</a>
|
|
|
|
| 19 |
</p>
|
| 20 |
|
| 21 |
|
|
|
|
| 16 |
<a href="https://modelscope.cn/models/ACE-Step/ACE-Step-v1-5">ModelScope</a> |
|
| 17 |
<a href="https://huggingface.co/spaces/ACE-Step/Ace-Step-v1.5">Space Demo</a> |
|
| 18 |
<a href="https://discord.gg/PeWDxrkdj7">Discord</a>
|
| 19 |
+
<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
|
| 20 |
</p>
|
| 21 |
|
| 22 |
|