---
title: Qwen-Image-Edit-2509-photous
canonical_url: "https://www.modelscope.cn/models/valiantcat/Qwen-Image-Edit-2509-photous"
md_url: "https://www.modelscope.cn/models/valiantcat/Qwen-Image-Edit-2509-photous.md"
repository: valiantcat/Qwen-Image-Edit-2509-photous
last_updated: 2026-06-16
license: apache-2.0
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - Qwen/Qwen-Image-Edit-2509
base_model_relation: adapter
parameters: 294.9M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
supports_inference: img2img
downloads: 304
stars: 0
tags:
  - image-generation
  - lora
  - Qwen-Image
---

# Qwen-Image-Edit-2509-photous

> Qwen-Image-Edit-2509-photous - valiantcat 在 ModelScope 开源的模型。valiantcat Qwen-Image-Edit-2509 LoRA

valiantcat/Qwen-Image-Edit-2509-photous 是 ModelScope 魔搭社区上的 294.9M 参数image-to-image模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image-Edit-2509 构建，并支持在线推理（img2img）。

- **Repository**: valiantcat/Qwen-Image-Edit-2509-photous
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 294.9M
- **Base model**: Qwen/Qwen-Image-Edit-2509
- **Online inference**: img2img
- **Tags**: image-generation, lora, Qwen-Image
- **Downloads**: 304
- **Stars**: 0
- **Last updated**: 2026-06-16

Source: https://www.modelscope.cn/models/valiantcat/Qwen-Image-Edit-2509-photous

---

# valiantcat Qwen-Image-Edit-2509 LoRA

拍立得效果的三宫格成片展示,实际的三宫格画框需要你自己去生成。
InstantCamera Triptych Results show off. 

<Gallery />


## 🎨 效果对比展示


| 控制图1 | 控制图2 | 生成结果 |
|:---:|:---:|:---:|
| ![](images/input1_1.jpg) | ![](images/input1_2.jpg) | ![](images/output1.webp) |
| ![](images/input2_1.jpg) | ![](images/input2_2.jpg) | ![](images/output2.webp) |
| ![](images/input3_1.jpg) | ![](images/input3_2.jpg) | ![](images/output3.webp) |


## Model Card for Model ID

因为原生的Qwen-Edit-2509的多图输入的结果中人物一致性并不是很好，特别是在一些指定的场景和指定的分辨率下。本模型重新针对多图输入的合照场景对Qwen-Edit-2509进行重新训练，保持高度人物一致性，输入两张图的图像为他们生成合照。

The native Qwen-Edit-2509 model often struggles with consistency in multi-image inputs, particularly at specific resolutions and scenes. This model is a fine-tuned version, specifically optimized for generating group photos from multiple portraits. It maintains high character consistency, allowing you to input individual photos and produce a coherent composite image.


## Model Card for Model ID

将图像输入的多图生成合照。。

## Prompts phrase

```两人相互对视并牵手的照片，保持两人人脸、服饰、装扮高度一致，背景在温暖的客厅室内，95年代复古风格。整个画面具有老式照片的不清晰感，颗粒感，严重的晃动感，复古的滤镜。```

```两人相互接吻的照片，保持两人人脸、服饰、装扮高度一致，背景是平坦的高原山脉，80年代复古风格。整个画面具有老式照片的不清晰感，颗粒感，严重的晃动感，复古的滤镜。```

```两人相互对视并牵手的照片，保持两人人脸、服饰、装扮高度一致，背景在温暖的客厅室内，95年代复古风格。整个画面具有老式照片的不清晰感，颗粒感，严重的晃动感，复古的滤镜。```

```两人站在街头合照并挽着手的照片，保持两人人脸高度一致，男士穿着夹克外套，露出南瓜头的T恤，女士穿着时尚的偏橘黄色的装扮，背景是万圣节日的欧洲小镇的马路中央，万圣节节日风格```

```两人站在一个石头拱门墙前的酷酷合拍，保持两人人脸高度一致，两人穿着黑色的时尚帅气装扮，拱门后的天气阴暗，还有稀疏的枯木。```

```两人在室内的合照，保持两人人脸高度一致，两人穿着有万圣节节日气息的小饰品，背后有是奶油风的室内场景，有一些万圣节背景元素。```

There is no fixed trigger word. The specific photous prompt needs to be tested more.

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-Edit-2509-photous/blob/main/QwenEdit2509_photous_000010000.safetensors)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(```https://vvicat.com/```).Business cooperation is welcome