---
base_model:
- MAGREF-Video/MAGREF
base_model_relation: quantized
library_name: gguf
tags:
- image-to-video
- quantized
language:
- en
license: apache-2.0
---

This is a GGUF conversion of [MAGREF-Video/MAGREF](https://huggingface.co/MAGREF-Video/MAGREF).

All quantized versions were created from the base 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   | MAGREF_Wan2.1_I2V_14B-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) |
| CLIP Vision  | clip_vision_h                       | `ComfyUI/models/clip_vision`   | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/clip_vision/clip_vision_h.safetensors) |
| 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://huggingface.co/QuantStack/MAGREF_Wan2.1_I2V_14B-GGUF/blob/main/Magref_example_workflow.json)

## Demos

<table border="1">
  <tr>
    <th colspan="2" align="center">Input</th>
    <th align="center">Output</th>
  </tr>
  <tr>
    <td align="center">
      <img src="demo/001/1.jpeg" style="max-height: 480px;" alt="Reference Image 1">
    </td>
    <td align="center">
      <img src="demo/001/2.jpeg" style="max-height: 480px;" alt="Reference Image 2">
    </td>
    <td align="center">
      <img src="demo/001/magref_14b_00001.webp" style="max-height: 480px;" alt="Generated Output">
    </td>
  </tr>
  <tr>
    <td colspan="3" align="center">
      Two men taking a selfie together in an indoor setting. One of them, with a bright and expressive smile, holds the smartphone at arm’s length to frame the shot. He has voluminous, natural-textured hair and appears enthusiastic and energetic. Standing beside him is another man with neatly styled hair and a composed expression, wearing a white athletic jersey with black accents.
    </td>
  </tr>
</table>

### 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).