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
Update README.md
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README.md
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*(Note for Higher Quality: If you want to achieve higher visual fidelity and enhance micro-details, it is highly recommended to use `wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors` as your final step. This hybrid approach significantly sharpens fine details and effectively eliminates motion blur during camera movements. This multi-step workflow is recommended for NVIDIA Tesla T4 GPUs or higher, and it can be seamlessly combined with any other GGUF High Noise models available in this repository.)*
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## 💾 Available Model Variants
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*(Note for Higher Quality: If you want to achieve higher visual fidelity and enhance micro-details, it is highly recommended to use `wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors` as your final step. This hybrid approach significantly sharpens fine details and effectively eliminates motion blur during camera movements. This multi-step workflow is recommended for NVIDIA Tesla T4 GPUs or higher, and it can be seamlessly combined with any other GGUF High Noise models available in this repository.)*
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## 💾 Available Model Variants & Direct Downloads
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| Model Variant | Type | File Size | Direct Link |
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| :--- | :---: | :---: | :---: |
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| ❄️ **wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors** | FP8 (High Quality) | 14.3 GB | [📥 Download](
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## 💾 Available Model Variants
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