---
title: Qwen-Image-Edit-2511-Object-Remover
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Object-Remover"
md_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Object-Remover.md"
repository: prithivMLmods/Qwen-Image-Edit-2511-Object-Remover
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: 477
stars: 9
tags:
- lora
- object-remover
- art
---
# Qwen-Image-Edit-2511-Object-Remover
> Qwen-Image-Edit-2511-Object-Remover - prithivMLmods 在 ModelScope 开源的模型。Qwen-Image-Edit-2511-Object-Remover
prithivMLmods/Qwen-Image-Edit-2511-Object-Remover 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-Remover
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 118.0M
- **Base model**: Qwen/Qwen-Image-Edit-2511
- **Online inference**: img2img
- **Tags**: lora, object-remover, art
- **Downloads**: 477
- **Stars**: 9
- **Last updated**: 2026-06-20
Source: https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Object-Remover
---
# **Qwen-Image-Edit-2511-Object-Remover**
> Qwen-Image-Edit-2511-Object-Remover is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, specifically designed for precise object removal from images. The model removes specified objects while preserving the background and remaining 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 removal. This makes it well suited for tasks that require clean edits without compromising image authenticity. Below are some example outputs that demonstrate the model’s ability to deliver accurate, realistic, and visually seamless object removal 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-Remover")
prompt = "Remove the specified objects from the image while preserving the background and remaining 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(Remove Objects)**
| Input Image | Edit Prompt | Output Image |
|------------|-------------|--------------|
| 
| Remove the necklace and goggles from the image while preserving the background and remaining elements, maintaining realism and original details. | 
|
| 
| Remove the goggles from the image while preserving the background and remaining elements, maintaining realism and original details. | 
|
| 
| Remove the “S” logo from the image while preserving the background and remaining elements, maintaining realism and original details. | 
|
| 
| Remove the logo from the image while preserving the background and remaining elements, maintaining realism and original details. | 
|
**Trained on [ModelScope.cn](https://modelscope.cn)**
## **Trigger Prompt**
You should use the following prompt to trigger object removal:
```
Remove the specified objects from the image while preserving the background and remaining 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-Remover/tree/main)