Instructions to use ACE-Step/ACE-Step-v1.5-chinese-new-year-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ACE-Step/ACE-Step-v1.5-chinese-new-year-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("/vepfs-d-data/q-ace/repo/gongjunmin/ACE-Step-1.5/checkpoints/acestep-v15-turbo-fix-inst-shift-dynamic") model = PeftModel.from_pretrained(base_model, "ACE-Step/ACE-Step-v1.5-chinese-new-year-LoRA") - Notebooks
- Google Colab
- Kaggle
Permission to use a generated WAV example and a derived poster publicly
#3
by sourav-das - opened
May I publicly redistribute a generated WAV example and its derived poster produced with this LoRA in the public sourav-das/modiff-template-gallery Dataset? The model weights and training data will not be included. Both files will remain subject to the adapter’s research/academic, non-commercial terms, with attribution and exact SHA-256 provenance. Please explicitly confirm whether this redistribution is permitted.
Thanks and regards,
Sourav