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--- |
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license: apache-2.0 |
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tags: |
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- gguf |
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- wan2.2 |
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- i2v |
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- t2v |
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- video-generation |
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- wan-ai |
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- comfyui |
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- fp16 |
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language: |
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- en |
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library_name: comfyui |
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pipeline_tag: image-to-video |
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base_model: |
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- Wan-AI/Wan2.2-I2V-A14B |
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- Wan-AI/Wan2.2-T2V-A14B |
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--- |
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## Model Files |
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- `wan2.2_i2v_high_noise_14B_fp16.gguf`: High-noise model in **FP16 format (not quantized)** |
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- `wan2.2_i2v_low_noise_14B_fp16.gguf`: Low-noise model in **FP16 format (not quantized)** |
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- `wan2.2_t2v_high_noise_14B_fp16.gguf`: High-noise model in **FP16 format (not quantized)** |
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- `wan2.2_t2v_low_noise_14B_fp16.gguf`: High-noise model in **FP16 format (not quantized)** |
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## Format Details |
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- **Important**: These are **NOT quantized models** but FP16 precision models in GGUF container format |
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- Base model: [Wan-AI/Wan2.2-I2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B) |
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-Base model: [Wan-AI/Wan2.2-T2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) |
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- Format: GGUF container with **FP16 precision (unquantized)** |
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- Original model size: ~27B parameters (14B active per step) |
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- File sizes: |
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- high: 28.6 GB for FP16 (SHA256: 3a7d4e...) |
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- low: 28.6 GB (SHA256: 1b4e28...) |
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## Why FP16 in GGUF? |
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While GGUF is typically used for quantized models, ComfyUI-GGUF extension supports: |
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- Loading FP16 models in GGUF container format |
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- This provides compatibility with ComfyUI workflow |
