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_Q4KM_L.gguf from geceff/Wan2.2-Custom-Models-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 9.65 GB
-
https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_Q4KM_L.gguf
- Command line
-
hf download hf://geceff/Wan2.2-Custom-Models-GGUF/wan2.2_i2v_low_noise_14B_Q4KM_L.gguf
-
curl -L -o wan2.2_i2v_low_noise_14B_Q4KM_L.gguf https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_Q4KM_L.gguf
9.65 GB
- Xet hash:
- 22961829297f9fcf71b33de3ed068c29fab380b60a26e92b2c3ac348f61e7510
- Size of remote file:
- 9.65 GB
- SHA256:
- 488d6adf530b808f3811adc2ffaaecde07859649a39e47f025644f7e3a51bb04
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