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Wan 2.1 I2V 14B 720P GGUF

This is a direct GGUF conversion of Wan-AI/Wan2.1-I2V-14B-720P

KindOtherBase modelWan-AI/Wan2.1-I2V-14B-720PVersionWan2.1 i2v 14b 720p BF16Bgrade

Model source

Kind
Other
File size
7.38–31.0 GB
Base model
Wan-AI/Wan2.1-I2V-14B-720P
Version
vWan2.1 i2v 14b 720p BF16
Updated
Oct 18, 2026
Source
Hugging Face

Source description

This is a direct GGUF conversion of Wan-AI/Wan2.1-I2V-14B-720P

All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF.

The model files can be used with the ComfyUI-GGUF custom node.

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

The other files required can be downloaded from this repository by Comfy-Org

Please refer to this chart for a basic overview of quantization types.

Sources

1 source
Hugging FacePrimaryVersion ea36d5421cc5f5c57e50067a432a8b2c16dd0dae
huggingface.co/city96/Wan2.1-I2V-14B-720P-gguf/tree/ea36d5421cc5f5c57e50067a432a8b2c16dd0dae

Verified Oct 18

Model artifacts

14 artifacts

wan2.1-i2v-14b-720p-BF16.gguf

gguf · 31.0 GB · SHA-256 043975b4758d…3ff7 · Hugging Face

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wan2.1-i2v-14b-720p-F16.gguf

gguf · 31.0 GB · SHA-256 6c528bcbc977…2e3c · Hugging Face

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wan2.1-i2v-14b-720p-Q3_K_M.gguf

gguf · 8.00 GB · SHA-256 3a430a457515…889b · Hugging Face

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wan2.1-i2v-14b-720p-Q3_K_S.gguf

gguf · 7.38 GB · SHA-256 3a020d7b4c6e…dc15 · Hugging Face

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wan2.1-i2v-14b-720p-Q4_0.gguf

gguf · 9.54 GB · SHA-256 6a602cccf1b0…3d3b · Hugging Face

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wan2.1-i2v-14b-720p-Q4_1.gguf

gguf · 10.3 GB · SHA-256 2899b6ef56c0…7885 · Hugging Face

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wan2.1-i2v-14b-720p-Q4_K_M.gguf

gguf · 10.6 GB · SHA-256 ffecd91e4b63…42a4 · Hugging Face

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wan2.1-i2v-14b-720p-Q4_K_S.gguf

gguf · 9.72 GB · SHA-256 a086ab226886…bfe3 · Hugging Face

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wan2.1-i2v-14b-720p-Q5_0.gguf

gguf · 11.4 GB · SHA-256 ef4bde478299…8df4 · Hugging Face

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wan2.1-i2v-14b-720p-Q5_1.gguf

gguf · 12.2 GB · SHA-256 c7a38c1c0f45…5552 · Hugging Face

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wan2.1-i2v-14b-720p-Q5_K_M.gguf

gguf · 11.9 GB · SHA-256 ec6d9265cdaf…07a4 · Hugging Face

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wan2.1-i2v-14b-720p-Q5_K_S.gguf

gguf · 11.3 GB · SHA-256 241c70e512a9…46d8 · Hugging Face

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wan2.1-i2v-14b-720p-Q6_K.gguf

gguf · 13.3 GB · SHA-256 630cf28ced7d…a158 · Hugging Face

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wan2.1-i2v-14b-720p-Q8_0.gguf

gguf · 16.9 GB · SHA-256 fb0797a17a2c…de8b · Hugging Face

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Source excerpts

3 excerpts

--- base_model: Wan-AI/Wan2.1-I2V-14B-720P library_name: gguf quantized_by: city96 tags: - video - video-generation license: apache-2.0 pipeline_tag: image-to-video language: - en - zh --- This is a direct GGUF conversion of [Wan-AI/Wan2.1-I2V-14B-720P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P) All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF. The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions. The other files required can be downloaded from [this repository by Comfy-Org](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files) Please refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types.

Source context: 33542 downloads · 167 likes · Pipeline image-to-video · Library gguf · Repo city96/Wan2.1-I2V-14B-720P-gguf

Source context: 11233 downloads · 160 likes · Pipeline image-to-video · Library gguf · Repo city96/Wan2.1-I2V-14B-720P-gguf