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:
- c751495f09aba0cd10d9bb17c9acdb287aaa170a5e3815ca406e639c2c6b7a8b
- Size of remote file:
- 3.57 MB
- SHA256:
- db25162e815fe1eff74189784837c8772692373d7e9915a8f59d68f4cf16dffa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.