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Wan 2.1 T2V 14B FusionX GGUF

This is a GGUF conversion of Wan14BT2VFusioniXfp16.safetensors by @vrgamedevgirl84.

KindModelBase modelvrgamedevgirl84/Wan14BT2VFusioniXVersionWan2.1 T2 V 14 B Fusion X F16

Model source

Kind
Model
File size
4.94–26.6 GB
Base model
vrgamedevgirl84/Wan14BT2VFusioniX
Version
vWan2.1 T2 V 14 B Fusion X F16
Updated
Oct 13, 2026
Source
Hugging Face

Source description

This is a GGUF conversion of Wan14BT2VFusioniX_fp16_.safetensors by @vrgamedevgirl84.

All quantized versions were created from the base T2V FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository.

Usage

The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:

TypeNameLocationDownload
Main ModelWan2.1_T2V_14B_FusionX-GGUFComfyUI/models/unetGGUF (this repo)
Text Encoderumt5-xxl-encoderComfyUI/models/text_encodersSafetensors / GGUF
VAEWan2_1_VAE_bf16ComfyUI/models/vaeSafetensors

ComfyUI example workflow

Notes

All original licenses and restrictions from the base models still apply.

Reference

Related resources

1 connection

Sources

1 source
Hugging FacePrimaryVersion b9fdec3189a7a99292ed383edd8f007a61166a97
huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX-GGUF/tree/b9fdec3189a7a99292ed383edd8f007a61166a97

Verified Oct 13

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Model artifacts

15 artifacts

Wan2.1_T2V_14B_FusionX-F16.gguf

gguf · 26.6 GB · SHA-256 6184581cc2f9…45c7 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q2_K.gguf

gguf · 4.94 GB · SHA-256 512d0be0f754…d4ce · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q3_K_L.gguf

gguf · 7.25 GB · SHA-256 3ca31f77daeb…45d2 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q3_K_M.gguf

gguf · 6.68 GB · SHA-256 ee79f6acbd33…4a00 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q3_K_S.gguf

gguf · 6.07 GB · SHA-256 88805e516824…ed26 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q4_0.gguf

gguf · 7.97 GB · SHA-256 f0ad8f7396a8…1c04 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q4_1.gguf

gguf · 8.62 GB · SHA-256 6a28c4a217d0…fdab · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q4_K_M.gguf

gguf · 8.99 GB · SHA-256 857038e8cecf…3786 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q4_K_S.gguf

gguf · 8.15 GB · SHA-256 1e18c7d6456b…fdc6 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q5_0.gguf

gguf · 9.60 GB · SHA-256 0cba7a27a5fb…543b · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q5_1.gguf

gguf · 10.3 GB · SHA-256 7c074217e2a2…1099 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q5_K_M.gguf

gguf · 10.0 GB · SHA-256 606e0d0eca52…ab04 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q5_K_S.gguf

gguf · 9.44 GB · SHA-256 93e085a73453…f3c2 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q6_K.gguf

gguf · 11.2 GB · SHA-256 48adc9ceb517…ad22 · Hugging Face

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Wan2.1_T2V_14B_FusionX-Q8_0.gguf

gguf · 14.3 GB · SHA-256 6d7a98926e5d…0f2c · Hugging Face

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Source excerpts

2 excerpts

--- base_model: - vrgamedevgirl84/Wan14BT2VFusioniX base_model_relation: quantized library_name: gguf quantized_by: lym00 tags: - text-to-video - quantized language: - en license: apache-2.0 --- This is a GGUF conversion of [Wan14BT2VFusioniX_fp16_.safetensors](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/blob/main/Wan14BT2VFusioniX_fp16_.safetensors) by [@vrgamedevgirl84](https://huggingface.co/vrgamedevgirl84). All quantized versions were created from the base T2V FP16 model using the conversion scripts provided by city96, available at the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF/tree/main/tools) GitHub repository. ## Usage The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place the required model(s) in the following folders: | Type | Name | Location | Download | | ------------ | ----------------------------- | ------------------------------ | ---------------- | | Main Model | Wan2.1_T2V_14B_FusionX-GGUF | `ComfyUI/models/unet` | GGUF (this repo) | | Text Encoder | umt5-xxl-encoder | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main) | | VAE | Wan2_1_VAE_bf16 | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors) | [**ComfyUI example workflow**](https://docs.comfy.org/tutorials/video/wan/wan-video#wan2-1-text-to-video-workflow) ### Notes *All original licenses and restrictions from the base models still apply.* ## Reference - For an overview of quantization types, please see the [GGUF quantization types](https://huggingface.co/docs/hub/gguf#quantization-types).

Source context: 5681 downloads · 29 likes · Pipeline text-to-video · Library gguf · Repo QuantStack/Wan2.1_T2V_14B_FusionX-GGUF