---
license: apache-2.0
language:
- en
tags:
- flux
- flux-2-klein
- flux-lora
- lora
- object-removal
- inpainting
- image-editing
- image-to-image
- fal-ai
- template:diffusion-lora
pipeline_tag: image-to-image
widget:
- text: Remove the highlighted object from the scene
  output:
    url: examples/example1_output.jpg
- src: examples/example1_input.jpg
  prompt: Remove the highlighted object from the scene
  output:
    url: examples/example1_output.jpg
- text: Remove the highlighted object from the scene
  output:
    url: examples/example2_output.jpg
- src: examples/example2_input.jpg
  prompt: Remove the highlighted object from the scene
  output:
    url: examples/example2_output.jpg
- text: Remove the highlighted object from the scene
  output:
    url: examples/example3_output.jpg
- src: examples/example3_input.jpg
  prompt: Remove the highlighted object from the scene
  output:
    url: examples/example3_output.jpg
- text: Remove the highlighted object from the scene
  output:
    url: examples/example4_output.jpg
- src: examples/example4_input.jpg
  prompt: Remove the highlighted object from the scene
  output:
    url: examples/example4_output.jpg
base_model: black-forest-labs/FLUX.2-klein-4B
instance_prompt: Remove the highlighted object from the scene
---

<Gallery />

<div align="center">

# 🗑️ Flux Object Removal LoRA

### Remove unwanted objects from images with AI-powered inpainting

[![Try on fal.ai](https://img.shields.io/badge/🚀_Try_it_Live-fal.ai-FF6B35?style=for-the-badge)](https://fal.ai/models/fal-ai/flux-2/klein/4b/base/edit/lora)
[![License](https://img.shields.io/badge/License-Apache_2.0-green?style=for-the-badge)](https://opensource.org/licenses/Apache-2.0)

<img src="images/banner.jpg" alt="Object Removal LoRA Banner" width="100%">

</div>

---

## 🎯 What does this model do?

This LoRA removes **highlighted objects** from images and fills the area naturally with contextually appropriate content. Simply mark the object you want to remove, and the model will erase it seamlessly.
```
┌─────────────────────────────────────┐
│                                     │
│     🏠  🌳  [🚗]  🌳  🏠            │  Highlighted object
│         ↓                           │  gets removed
│     🏠  🌳  ~~~~  🌳  🏠            │  and filled naturally
│                                     │
└─────────────────────────────────────┘
```

Perfect for **cleaning up photos**, **removing distractions**, and **creating seamless backgrounds**.

---

## 🖼️ Examples

<table>
<tr>
<th>Input (with highlighted object)</th>
<th>Output (object removed)</th>
</tr>
<tr>
<td><img src="examples/example1_input.jpg" width="300"></td>
<td><img src="examples/example1_output.jpg" width="300"></td>
</tr>
<tr>
<td><img src="examples/example2_input.jpg" width="300"></td>
<td><img src="examples/example2_output.jpg" width="300"></td>
</tr>
<tr>
<td><img src="examples/example3_input.jpg" width="300"></td>
<td><img src="examples/example3_output.jpg" width="300"></td>
</tr>
<tr>
<td><img src="examples/example4_input.jpg" width="300"></td>
<td><img src="examples/example4_output.jpg" width="300"></td>
</tr>
</table>

---

## 🚀 Quick Start

### Prompt
```
Remove the highlighted object from the scene
```

### Highlighting Requirements
- Mark the object to remove with a visible highlight/mask
- The highlight should clearly cover the object boundaries
- Works best with distinct, isolated objects

---

## 💻 Usage

### Try it Live on fal.ai

▶️ **[Open Playground](https://fal.ai/models/fal-ai/flux-2-klein/4b/base/edit/lora)**

### With fal.ai SDK
```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/flux-2-klein/4b/base/edit/lora",
    arguments={
        "prompt": "Remove the highlighted object from the scene",
        "model_name": None,
        "loras": [{
            "path": "https://huggingface.co/ilkerzgi/flux-object-remove-lora/resolve/main/flux-object-remove-lora.safetensors",
            "scale": 1.1
        }],
        "embeddings": [],
        "image_urls": ["https://your-image-with-highlighted-object.png"]
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

---

## 📦 Model Files

| File | Use Case |
|------|----------|
| `flux-object-remove-lora.safetensors` | fal.ai |
| `kDEkt5q7tDLKOpQJIVMPx_pytorch_lora_weights_comfy_converted.safetensors` | ComfyUI |

---

## 🎓 Training Details

<details>
<summary>Click to expand</summary>

### Dataset
- **Size**: 100 image pairs
- **Content**: Diverse scenes with objects to remove including:
  - **People**: individuals, groups in various settings
  - **Objects**: furniture, vehicles, electronics
  - **Animals**: pets, wildlife
  - **Text**: signs, watermarks, logos
  - **Nature**: plants, debris, unwanted elements
- **Highlighting**: Objects marked for removal
- **Aspect ratios**: Various (1:1, 16:9, 9:16, 4:3, 3:4, etc.)

### Training
- **Base Model**: FLUX.2-Klein 4B
- **Platform**: [fal.ai](https://fal.ai)
- **Method**: LoRA training
- **Steps**: 4000
- **Learning Rate**: 0.00005

</details>

---

## 🎮 Use Cases

- **Photo Cleanup**: Remove photobombers, trash, or unwanted objects
- **Product Photography**: Clean backgrounds for e-commerce
- **Real Estate**: Remove furniture or personal items from property photos
- **Social Media**: Create cleaner, more focused compositions

---

## ⚠️ Limitations

- Works best with clearly highlighted/masked objects
- Very large objects may leave visible artifacts
- Complex backgrounds may require multiple passes
- Reflections and shadows of removed objects may persist

---

## 📄 License

[Apache 2.0](https://opensource.org/licenses/Apache-2.0)

---

<div align="center">

### Created by [@ilkerzgi](https://huggingface.co/ilkerzgi) • Trained with [fal.ai](https://fal.ai)


[![Try on fal.ai](https://img.shields.io/badge/🚀_Try_it_Live-fal.ai-FF6B35?style=for-the-badge)](https://fal.ai/models/fal-ai/flux-2/klein/4b/base/edit/lora)

</div>