Instructions to use Tencent-Hunyuan/HunyuanDiT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HunyuanDiT
How to use Tencent-Hunyuan/HunyuanDiT with HunyuanDiT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download t2i/clip_text_encoder/pytorch_model.bin from Tencent-Hunyuan/HunyuanDiT: direct link, hf CLI and curl.
- Browser
- Download file 3.94 GB
-
https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/resolve/main/t2i/clip_text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Tencent-Hunyuan/HunyuanDiT/t2i/clip_text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/resolve/main/t2i/clip_text_encoder/pytorch_model.bin
3.94 GB
- Xet hash:
- e8748cad497cb9077b0a962bf6093d67f5842eeed750bbdbd9a66853b9dc1c95
- Size of remote file:
- 3.94 GB
- SHA256:
- 77fd65c751513310fe575e0ef59963743f89a4955ee5c79d7468157b27e83c51
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