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---
base_model:
- lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill
base_model_relation: quantized
library_name: gguf
tags:
- text-to-video
- image-to-video
- video-to-video
- quantized
language:
- en
license: apache-2.0
---
This is a GGUF conversion of an addon of [lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill) and [Wan-AI/Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) scopes.
The process involved extracting VACE scopes and injecting into the target models, using scripts provided by [wsbagnsv1](https://huggingface.co/wsbagnsv1).
All quantized versions were created from the 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_LightX2V_Step_Cfg_Distill_VACE-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/vace)
### 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).