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_Q6K_L.gguf from geceff/Wan2.2-Custom-Models-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 12 GB
-
https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/b8919e6f24cf75c7ffd5e9bd84ea160aa3389bad/wan2.2_i2v_low_noise_14B_Q6K_L.gguf
- Command line
-
hf download hf://geceff/Wan2.2-Custom-Models-GGUF@b8919e6f24cf75c7ffd5e9bd84ea160aa3389bad/wan2.2_i2v_low_noise_14B_Q6K_L.gguf
-
curl -L -o wan2.2_i2v_low_noise_14B_Q6K_L.gguf https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/b8919e6f24cf75c7ffd5e9bd84ea160aa3389bad/wan2.2_i2v_low_noise_14B_Q6K_L.gguf
12 GB
- Xet hash:
- 4091b8e36e37cf4d29a51d7d6019680bae8c3712ed06dc4c224d5157c3260c20
- Size of remote file:
- 12 GB
- SHA256:
- 6703d25e337474b88dd40a21a0078769c906d8e10ff9d482ca305c77de2c5297
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