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_fp8_scaled.safetensors from geceff/Wan2.2-Custom-Models-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 14.3 GB
-
https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
- Command line
-
hf download hf://geceff/Wan2.2-Custom-Models-GGUF/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
-
curl -L -o wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
14.3 GB
- Xet hash:
- e61f16fc1db7b0724780e36b41241d5b18f2580bacc67220fa9b82243755c02a
- Size of remote file:
- 14.3 GB
- SHA256:
- 5471a457b6ac404202a5fbe6c11595a3d5641fc766b00f38763f72303fffc21e
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