Instructions to use zheyangqin/VADER_VideoCrafter_HPS_Aesthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zheyangqin/VADER_VideoCrafter_HPS_Aesthetic with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zheyangqin/VADER_VideoCrafter_HPS_Aesthetic", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f6ab8079b525451644956838ee18a9fa1365867e8fc4852805b63456909f29ac
- Size of remote file:
- 3.38 MB
- SHA256:
- 1a80891247519f5760f04cc28723a88f2f52423bf10f4bb5f47d681b4431bb81
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.