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Wan 2.2 T2V A14B GGUF

This GGUF file is a direct conversion of Wan-AI/Wan2.2-T2V-A14B

Sourcehuggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/73eafba53a1a8f29254e4c77f92e74ea27d7cd6f

KindOtherBase modelWan-AI/Wan2.2-T2V-A14BVersionRevision 73eafbaPublisher@QuantStackBgrade

Model source

Kind: Other
File size: 242 MB–14.3 GB
Base model: Wan-AI/Wan2.2-T2V-A14B
Version: vRevision 73eafba
Updated: Oct 26, 2026
Publisher: @QuantStack
Downloads: 210.6K
Source: Hugging Face

Source description

This GGUF file is a direct conversion of Wan-AI/Wan2.2-T2V-A14B

Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.

Usage

The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96

Place model files in ComfyUI/models/unet see the GitHub readme for further installation instructions.

Sources

1 source

Hugging FacePrimaryVersion 73eafba53a1a8f29254e4c77f92e74ea27d7cd6f

huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/73eafba53a1a8f29254e4c77f92e74ea27d7cd6f

Verified Oct 26

Download files

Model artifacts

27 artifacts

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q2_K.gguf

gguf · 4.94 GB · SHA-256 65dd92f0d444…2891 · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q3_K_M.gguf

gguf · 6.68 GB · SHA-256 0a1166c94296…27b6 · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q3_K_S.gguf

gguf · 6.07 GB · SHA-256 f10a599aeec8…fcca · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_0.gguf

gguf · 7.97 GB · SHA-256 3bf215a4b67b…b89a · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_1.gguf

gguf · 8.62 GB · SHA-256 d42d4ee3f64f…f37a · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_K_M.gguf

gguf · 8.99 GB · SHA-256 e0c490c6e316…0c59 · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_K_S.gguf

gguf · 8.15 GB · SHA-256 4943639d985d…1bbf · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q5_0.gguf

gguf · 9.60 GB · SHA-256 694902f31873…c1ed · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q5_1.gguf

gguf · 10.3 GB · SHA-256 a2daf4e45be0…8763 · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q5_K_M.gguf

gguf · 10.0 GB · SHA-256 fe704eb3541b…2478 · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q5_K_S.gguf

gguf · 9.44 GB · SHA-256 95048e4718af…a63a · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q6_K.gguf

gguf · 11.2 GB · SHA-256 504340d1d4eb…cd3b · Hugging Face

HighNoise/Wan2.2-T2V-A14B-HighNoise-Q8_0.gguf

gguf · 14.3 GB · SHA-256 e15fecd4ce8f…820a · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q2_K.gguf

gguf · 4.94 GB · SHA-256 9350378f9156…2c5d · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q3_K_M.gguf

gguf · 6.68 GB · SHA-256 13bf25ca46c9…8947 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q3_K_S.gguf

gguf · 6.07 GB · SHA-256 1d97051aca33…a60e · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q4_0.gguf

gguf · 7.97 GB · SHA-256 892a353ea21c…38c1 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q4_1.gguf

gguf · 8.62 GB · SHA-256 f565d1d217bc…46b7 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q4_K_M.gguf

gguf · 8.99 GB · SHA-256 091a5bae02e1…923a · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q4_K_S.gguf

gguf · 8.15 GB · SHA-256 55439a8ee4c5…3c99 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q5_0.gguf

gguf · 9.60 GB · SHA-256 9dbceecceb04…b72d · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q5_1.gguf

gguf · 10.3 GB · SHA-256 291d22892ec7…29a8 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q5_K_M.gguf

gguf · 10.0 GB · SHA-256 67242c61f055…35dd · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q5_K_S.gguf

gguf · 9.44 GB · SHA-256 47a8031ef94d…4376 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q6_K.gguf

gguf · 11.2 GB · SHA-256 db3506181004…f661 · Hugging Face

LowNoise/Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf

gguf · 14.3 GB · SHA-256 71574f62260f…66fc · Hugging Face

VAE/Wan2.1_VAE.safetensors

safetensors · 242 MB · SHA-256 2fc39d31359a…976b · Hugging Face

Source excerpts

3 excerpts

ReadmeJul 11huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF

--- license: apache-2.0 base_model: - Wan-AI/Wan2.2-T2V-A14B library_name: gguf pipeline_tag: text-to-video tags: - t2v --- This GGUF file is a direct conversion of [Wan-AI/Wan2.2-T2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. **Usage** The model can be used with the ComfyUI custom node [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) by [city96](https://huggingface.co/city96) Place model files in `ComfyUI/models/unet` see the GitHub readme for further installation instructions.

NoteOct 26huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF

Source context: 210550 downloads · 309 likes · Pipeline text-to-video · Library gguf · Repo QuantStack/Wan2.2-T2V-A14B-GGUF

NoteAug 7huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF

Source context: 71904 downloads · 269 likes · Pipeline text-to-video · Library gguf · Repo QuantStack/Wan2.2-T2V-A14B-GGUF