---
title: Qwen-Image-gguf
canonical_url: "https://www.modelscope.cn/models/city96/Qwen-Image-gguf"
md_url: "https://www.modelscope.cn/models/city96/Qwen-Image-gguf.md"
repository: city96/Qwen-Image-gguf
last_updated: 2025-08-05
license: apache-2.0
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Qwen/Qwen-Image
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
downloads: 21888
stars: 40
tags:
  - gguf
---

# Qwen-Image-gguf

> Qwen-Image-gguf - city96 在 ModelScope 开源的模型。This is a direct GGUF conversion of Qwen/Qwen-Image.

city96/Qwen-Image-gguf 是 ModelScope 魔搭社区上的text-to-image-synthesis模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image 构建。

- **Repository**: city96/Qwen-Image-gguf
- **License**: apache-2.0
- **Tasks**: text-to-image-synthesis
- **Base model**: Qwen/Qwen-Image
- **Tags**: gguf
- **Downloads**: 21888
- **Stars**: 40
- **Last updated**: 2025-08-05

Source: https://www.modelscope.cn/models/city96/Qwen-Image-gguf

---

This is a direct GGUF conversion of [Qwen/Qwen-Image](https://huggingface.co/Qwen/Qwen-Image).

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   | Qwen-Image                     | `ComfyUI/models/diffusion_models` | GGUF (this repo) |
| Text Encoder | Qwen2.5-VL-7B                  | `ComfyUI/models/text_encoders`    | [Safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-GGUF/tree/main)|
| VAE          | Qwen-Image VAE                 | `ComfyUI/models/vae`              | [Safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors) |

[**Example workflow**](media/qwen-image_workflow.json)

[**Example outputs**](media/qwen-image.jpg) - sample size of 1, not strictly representative

![sample](media/qwen-image.jpg)

### Notes

> [!NOTE]
> The Q5_K_M, Q4_K_M and most importantly the low bitrate quants (Q3_K_M, Q3_K_S, Q2_K) use a new dynamic logic where the first/last layer is kept in high precision.
> 
> For a comparison, see this [imgsli page](https://imgsli.com/NDA0MTIy). With this method, even Q2_K remains somewhat usable.

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