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---
base_model:
- vrgamedevgirl84/Wan14BT2VFusioniX
library_name: gguf
quantized_by: lym00
tags:
- text-to-video
- image-to-video
- video-to-video
language:
- en
license: apache-2.0
---

# vrgamedevgirl84/Wan14BT2VFusionX GGUF Conversion

This is a GGUF conversion of [vrgamedevgirl84/Wan14BT2VFusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) with additional VACE functionality.

All quantized versions were created from the base FP16 model [Wan14BT2VFusioniX_fp16_.safetensors](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/blob/main/Wan14BT2VFusioniX_fp16_.safetensors) using the conversion scripts provided by city96, available at the [ComfyUI-GGUF GitHub repository](https://github.com/city96/ComfyUI-GGUF/tree/main/tools). 

The process involved first patching and converting the safetensors model to a FP16 GGUF, then quantizing it, and finally applying the 5D fixes.

## 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   | Wan-14B-T2V-FusionX-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

*As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.*

## Reference

- For an overview of quantization types, please see the [LLaMA 3 8B Scoreboard quantization chart](https://github.com/ggml-org/llama.cpp/blob/b3962/examples/perplexity/README.md#llama-3-8b-scoreboard).