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_Q6_K.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/main/wan2.2_i2v_low_noise_14B_Q6_K.gguf
- Command line
-
hf download hf://geceff/Wan2.2-Custom-Models-GGUF/wan2.2_i2v_low_noise_14B_Q6_K.gguf
-
curl -L -o wan2.2_i2v_low_noise_14B_Q6_K.gguf https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_Q6_K.gguf
12 GB
- Xet hash:
- 715fa271f4ab5bfaa5cb15f51f109bfbd499abe10ef4de3e02e02e225af556b0
- Size of remote file:
- 12 GB
- SHA256:
- 272f3bf3997b36bb0ac5ffa6b8aa8ab08dd423aaa0cfadeaad7eb5225520c980
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