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

This is a GGUF conversion of [Wan14Bi2vFusioniX_fp16.safetensors](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/blob/main/Wan14Bi2vFusioniX_fp16.safetensors) by [@vrgamedevgirl84](https://huggingface.co/vrgamedevgirl84).

All quantized versions were created from the base I2V 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_I2V_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-image-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).