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:
- 72bc50bada0e9789ff513eee8bb14ef7b579d99c06c3903c0c3580ac413ae71b
- Size of remote file:
- 1.84 MB
- SHA256:
- cb64bc848a05b5a3ac7e4d1a23233dee88ce41076798a72e32b7d4b5e05632d5
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