Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,14 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+examples/example1_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example1_output.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example2_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example2_output.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example3_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example3_output.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example4_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example4_output.jpg filter=lfs diff=lfs merge=lfs -text
+images/banner.jpg filter=lfs diff=lfs merge=lfs -text
+images/example_input.jpg filter=lfs diff=lfs merge=lfs -text
+images/example_output.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,229 @@
----
-license: apache-2.0
----
+---
+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 |
+
+---
+
+## 🎓 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>

flux-object-remove-lora.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70ceea34a8bcd6e7d0249ba26bb59a3cd8b8c38745fab65a3eb112a5c13e3c69
+size 58441728