---
title: Qwen-Image-2.1-ComfyUI-GGUF
canonical_url: "https://www.modelscope.cn/models/vantagewithai/Qwen-Image-2.1-ComfyUI-GGUF"
md_url: "https://www.modelscope.cn/models/vantagewithai/Qwen-Image-2.1-ComfyUI-GGUF.md"
repository: vantagewithai/Qwen-Image-2.1-ComfyUI-GGUF
last_updated: 2026-11-12
license: other
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Qwen/Qwen-Image-2.1
base_model_relation: quantized
library_name:
  - diffusers
  - gguf
  - pytorch
frameworks:
  - pytorch
downloads: 363
stars: 2
tags:
  - diffusers
  - qwen
  - image-generation
  - image-editing
  - rgba
  - gguf
---

# Qwen-Image-2.1-ComfyUI-GGUF

> Qwen-Image-2.1-ComfyUI-GGUF - vantagewithai 在 ModelScope 开源的模型。GGUF Quants of Qwen-Image-2.1 for ComfyUI.

vantagewithai/Qwen-Image-2.1-ComfyUI-GGUF 是 ModelScope 魔搭社区上的text-to-image-synthesis模型，采用 other 许可，基于 Qwen/Qwen-Image-2.1 构建。

- **Repository**: vantagewithai/Qwen-Image-2.1-ComfyUI-GGUF
- **License**: other
- **Tasks**: text-to-image-synthesis
- **Base model**: Qwen/Qwen-Image-2.1
- **Tags**: diffusers, qwen, image-generation, image-editing, rgba, gguf
- **Downloads**: 363
- **Stars**: 2
- **Last updated**: 2026-11-12

Source: https://www.modelscope.cn/models/vantagewithai/Qwen-Image-2.1-ComfyUI-GGUF

---

**GGUF Quants of Qwen-Image-2.1 for ComfyUI.**

**Original model repository:** [https://huggingface.co/Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1)

**Watch us on Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai) 

<p align="center">
    <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/image2.1/logo.png" width="400"/>
</p>
<p align="center">
    🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-2.1">ModelScope</a>&nbsp;&nbsp;|
    &nbsp;&nbsp;🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-2.1">HuggingFace</a>&nbsp;&nbsp;|
    &nbsp;&nbsp;📑 <a href="https://qwen.ai/blog?id=qwen-image-2.1">Blog</a>&nbsp;&nbsp;|
    &nbsp;&nbsp;🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-2.1">Demo</a>&nbsp;&nbsp;|
    &nbsp;&nbsp;🫨 <a href="https://discord.gg/BEYSk3pkSu">Discord</a>&nbsp;&nbsp;|
    &nbsp;&nbsp;💬 <a href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/assets/qr.png">WeChat</a>
</p>

## Introduction

We are excited to open-source **Qwen-Image-2.1**, a unified text-to-image generation and image editing model in the Qwen family. With just **7B parameters in its visual generation component** (32 Single-Stream DiT layers), Qwen-Image-2.1 balances generation quality, inference efficiency, and versatility.

Four key improvements define this release:

- **Compact and Efficient** — A lightweight architecture with mixed-granularity attention and prefix KV cache reuse delivers strong image quality at low computational cost.
- **Native Transparency, Unified Creation and Editing** — Generate regular or transparent (RGBA) images from text, edit transparent layers, and extract subjects from photographs—all in one model.
- **Versatile Editing** — Support up to **10 reference images**, specify local edits via circles, painted annotations, or separate masks, and preserve identity for people and products.
- **Realistic Textures and Refined Aesthetics** — Improved typography, portrait lighting, and fine details for more visually compelling results.

<p align="center">
    <img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-01.png" width="100%"/>
</p>

For more details, see the [GitHub repo](https://github.com/QwenLM/Qwen-Image-2.1) and [Blog](https://qwen.ai/blog?id=qwen-image-2.1).

### Supported Aspect Ratios

```python
aspect_ratios = {
    "1:1":  (2048, 2048),
    "4:3":  (2400, 1792),
    "3:4":  (1792, 2400),
    "3:2":  (2528, 1696),
    "2:3":  (1696, 2528),
    "16:9": (2752, 1536),
    "9:16": (1536, 2752),
}
```
## Showcase

<p align="center">
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-04.png" width="30%"/>
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-05.png" width="30%"/>
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-06.png" width="30%"/>
</p>
<p align="center"><em>Native transparent image generation</em></p>

<p align="center">
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-15.png" width="100%"/>
</p>
<p align="center"><em>Group photograph generated from six portrait references</em></p>

<p align="center">
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-43.png" width="48%"/>
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/image2.1/images/example-44.png" width="48%"/>
</p>
<p align="center"><em>Text rendering</em></p>

## License

This model is licensed under the [Qwen Research License Agreement](./LICENSE).