---
title: qwen-image-2.1-outfit-swap
canonical_url: "https://www.modelscope.ai/models/bozoyan/qwen-image-2.1-outfit-swap"
md_url: "https://www.modelscope.ai/models/bozoyan/qwen-image-2.1-outfit-swap.md"
repository: bozoyan/qwen-image-2.1-outfit-swap
last_updated: 2026-10-09
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Qwen/Qwen-Image-2.1
base_model_relation: adapter
parameters: 79.7M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
supports_inference: img2img
downloads: 48
stars: 0
tags:
  - LoRA
  - text-to-image
  - "服装"
---

# qwen-image-2.1-outfit-swap

> qwen-image-2.1-outfit-swap - An open-source model by bozoyan on ModelScope. 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

bozoyan/qwen-image-2.1-outfit-swap is a 79.7M-parameter text-to-image-synthesis model on ModelScope. licensed under Apache License 2.0. derived from Qwen/Qwen-Image-2.1. and supports online inference (img2img).

- **Repository**: bozoyan/qwen-image-2.1-outfit-swap
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 79.7M
- **Base model**: Qwen/Qwen-Image-2.1
- **Online inference**: img2img
- **Tags**: LoRA, text-to-image, 服装
- **Downloads**: 48
- **Stars**: 0
- **Last updated**: 2026-10-09

Source: https://www.modelscope.ai/models/bozoyan/qwen-image-2.1-outfit-swap

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('bozoyan/qwen-image-2.1-outfit-swap')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/bozoyan/qwen-image-2.1-outfit-swap.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>