---
title: Qwen-Image-Edit-2511-Object-Adder
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Object-Adder"
md_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Object-Adder.md"
repository: prithivMLmods/Qwen-Image-Edit-2511-Object-Adder
last_updated: 2026-06-20
license: apache-2.0
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - Qwen/Qwen-Image-Edit-2511
base_model_relation: adapter
parameters: 118.0M
tensor_type:
  - BF16
library_name:
  - pytorch
  - lora
  - safetensors
frameworks:
  - pytorch
language:
  - en
supports_inference: img2img
downloads: 339
stars: 2
tags:
  - lora
  - object-adder
  - art
---

# Qwen-Image-Edit-2511-Object-Adder

> Qwen-Image-Edit-2511-Object-Adder - prithivMLmods 在 ModelScope 开源的模型。Qwen-Image-Edit-2511-Object-Adder

prithivMLmods/Qwen-Image-Edit-2511-Object-Adder 是 ModelScope 魔搭社区上的 118.0M 参数image-to-image模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image-Edit-2511 构建，并支持在线推理（img2img）。

- **Repository**: prithivMLmods/Qwen-Image-Edit-2511-Object-Adder
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 118.0M
- **Base model**: Qwen/Qwen-Image-Edit-2511
- **Online inference**: img2img
- **Tags**: lora, object-adder, art
- **Downloads**: 339
- **Stars**: 2
- **Last updated**: 2026-06-20

Source: https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Object-Adder

---

![8](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/_EcUfxwqvRIom-_QbQTVC.png)
![7](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/ECUOiU7HLnir26iIjCPoY.png)
![9](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/p2ezcG3uN1a0WjcO2VusT.png)

# **Qwen-Image-Edit-2511-Object-Adder**

> Qwen-Image-Edit-2511-Object-Adder is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, specifically designed for precise object addition to images. The model adds specified objects while preserving the background, lighting, and surrounding elements, maintaining realism and original visual details. It can be used in combination with the lighting model configured with 4 steps to produce high-quality, high-resolution results. A key strength of this model is its strong consistency during image editing, ensuring that surrounding textures, lighting, shadows, and scene structure remain intact after object addition. This makes it well suited for tasks that require seamless edits without compromising image authenticity. Below are some example outputs that demonstrate the model’s ability to deliver accurate, realistic, and visually integrated object addition results.

## **Quick Start with Diffusers**

> Compatible with versions 2509 and 2511.

```bash
pip install -U diffusers transformers accelerate
```

```python
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# Switch to "mps" for Apple devices
pipe = DiffusionPipeline.from_pretrained(
    "Qwen/Qwen-Image-Edit-2511",
    dtype=torch.bfloat16,
    device_map="cuda"
)

pipe.load_lora_weights("prithivMLmods/Qwen-Image-Edit-2511-Object-Adder")

prompt = "Add the specified objects to the image while preserving the background lighting and surrounding elements maintaining realism and original details."
input_image = load_image(
    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png"
)

image = pipe(image=input_image, prompt=prompt).images[0]
```

## **Sample Inferences (Add Objects)**

| Input Image                                                                                                                         | Edit Prompt                                                                                                                                            | Output Image                                                                                                                       |
| ----------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------- |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/hr-sMtNKRkwWiPXnsSr_G.jpeg" width="1024"/> | Add the leather cowboy hat to the image while preserving the background, lighting, and surrounding elements, maintaining realism and original details. | <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Y4gxkyeyISk2CzK3Kt20h.png" width="1024"/> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/TlyD3e_Hhbn0aXL-cgDbG.jpeg" width="1024"/> | Add the Batman logo design to the image while preserving the background, lighting, and surrounding elements, maintaining realism and original details. | <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/9PsZnqxHYqtqjx5qBTk0h.png" width="1024"/> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Sb1u8JmRK2SmW9HNdbn00.jpeg" width="1024"/> | Add the goggles to the image while preserving the background, lighting, and surrounding elements, maintaining realism and original details.            | <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/l1spo3iwe_y-mQ6gUOBnf.png" width="1024"/> |

**Trained on [ModelScope.cn](https://modelscope.cn)**

## **Trigger Prompt**

You should use the following prompt to trigger object addition:

```
Add the specified objects to the image while preserving the background lighting and surrounding elements maintaining realism and original details
```

## **Download Model**

You can download the model files from the **Files & versions** tab:
[Download](https://huggingface.co/prithivMLmods/Qwen-Image-Edit-2511-Object-Adder/tree/main)
