Instructions to use geceff/Wan2.2-Custom-Models-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use geceff/Wan2.2-Custom-Models-GGUF with Wan2.2:
# 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 wan2.2_i2v_low_noise_14B_Q8_H.gguf from geceff/Wan2.2-Custom-Models-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 15.4 GB
-
https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/b8919e6f24cf75c7ffd5e9bd84ea160aa3389bad/wan2.2_i2v_low_noise_14B_Q8_H.gguf
- Command line
-
hf download hf://geceff/Wan2.2-Custom-Models-GGUF@b8919e6f24cf75c7ffd5e9bd84ea160aa3389bad/wan2.2_i2v_low_noise_14B_Q8_H.gguf
-
curl -L -o wan2.2_i2v_low_noise_14B_Q8_H.gguf https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/b8919e6f24cf75c7ffd5e9bd84ea160aa3389bad/wan2.2_i2v_low_noise_14B_Q8_H.gguf
15.4 GB
- Xet hash:
- 79354ed928de71a2b185c89b8a04cb83f27fc09509b1546ebea2b42c42f9997d
- Size of remote file:
- 15.4 GB
- SHA256:
- b5722e8e01a21f89a1c0b5e9de9a3b907ce92324d1951d5ce70307956790daae
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