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:
- d37ebe242244ec4615e732b941b96236ea17a954020dadfe08c0570e94e8c46c
- Size of remote file:
- 2.71 MB
- SHA256:
- fe8be54726fd10522314acd14e3b5163dd58d8c746d9fd8668c3c3220d65ea74
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