# ComfyUI-RMBG

A sophisticated ComfyUI custom node engineered for advanced image background removal and precise segmentation of objects, faces, clothing, and fashion elements. This tool leverages a diverse array of models, including RMBG-2.0, INSPYRENET, BEN, BEN2, BiRefNet, SDMatte models, SAM, SAM2 and GroundingDINO, while also incorporating a new feature for real-time background replacement and enhanced edge detection for improved accuracy.

## News & Updates
- **2025/08/18**: Update ComfyUI-RMBG to **v2.9.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v290-20250818) )
![v2 9 0](https://github.com/user-attachments/assets/05a5d41e-a73c-40cc-a4cc-c10380ecc425)
  - Added `SDMatte Matting` node

- **2025/08/11**: Update ComfyUI-RMBG to **v2.8.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v280-20250811) )
![v2 8 0](https://github.com/user-attachments/assets/16c5a67c-1aec-4def-9aa2-db9dcf2354a8)

  - Added `SAM2Segment` node for text-prompted segmentation with the latest Facebook Research SAM2 technology.
  - Enhanced color widget support across all nodes
  
- **2025/08/06**: Update ComfyUI-RMBG to **v2.7.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v271-20250806) )
![v2.7.0_ImageStitch](https://github.com/user-attachments/assets/3f31fe25-a453-4f86-bf3d-dc12a8affd39)

  - Enhanced LoadImage into three distinct nodes to meet different needs, all supporting direct image loading from local paths or URLs
  - Completely redesigned ImageStitch node compatible with ComfyUI's native functionality
  - Fixed background color handling issues reported by users

- **2025/07/15**: Update ComfyUI-RMBG to **v2.6.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v260-20250715) )

![ReferenceLatentMaskr](https://github.com/user-attachments/assets/756641b7-0833-4fe0-b32f-2b848a14574e)

  - Added `Kontext Refence latent Mask` node, Which uses a reference latent and mask for precise region conditioning.

- **2025/07/11**: Update ComfyUI-RMBG to **v2.5.2** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v252-20250711) )

![V 2 5 2](https://github.com/user-attachments/assets/4b41887a-0d8a-4a5a-9128-1e866f410b60)

- **2025/07/07**: Update ComfyUI-RMBG to **v2.5.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v251-20250707) )

- **2025/07/01**: Update ComfyUI-RMBG to **v2.5.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v250-20250701) )

![mask_overlay](https://github.com/user-attachments/assets/d82abb5a-9702-4d21-a5cf-e6776c7b4c06)

  - Added `MaskOverlay`, `ObjectRemover`, `ImageMaskResize` new nodes.
  - Added 2 BiRefNet models: `BiRefNet_lite-matting` and `BiRefNet_dynamic`
  - Added batch image support for `Segment_v1` and `Segment_V2` nodes
    
- **2025/06/01**: Update ComfyUI-RMBG to **v2.4.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v240-20250601) )
![ComfyUI-RMBG_V2 4 0 new nodes](https://github.com/user-attachments/assets/7ab023e7-70b4-4b97-910a-e608c03841cf)
  - Added `CropObject`, `ImageCompare`, `ColorInput` nodes and new Segment V2 (see update.md for details)
- **2025/05/15**: Update ComfyUI-RMBG to **v2.3.2** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v232-20250515) )
![v 2 3 2](https://github.com/user-attachments/assets/fc852183-6796-4ef7-a41a-499dbe6a4519)
- **2025/05/02**: Update ComfyUI-RMBG to **v2.3.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v231-20250502) )
- **2025/05/01**: Update ComfyUI-RMBG to **v2.3.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v230-20250501) )
![v2 3 0_node](https://github.com/user-attachments/assets/f53be704-bb53-4fdf-9e7f-fad00dcd5add)
  - Added new nodes: IC-LoRA Concat, Image Crop
  - Added resizing options for Load Image: Longest Side, Shortest Side, Width, and Height, enhancing flexibility.
- **2025/04/05**: Update ComfyUI-RMBG to **v2.2.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v221-20250405) )
- **2025/04/05**: Update ComfyUI-RMBG to **v2.2.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v220-20250405) )
![Comfyu-rmbg_v2 2 1_node_sample](https://github.com/user-attachments/assets/68f4233c-b992-473e-aa30-ca32086f5221)
  - Added new nodes: Image Combiner, Image Stitch, Image/Mask Converter, Mask Enhancer, Mask Combiner, and Mask Extractor
  - Fixed compatibility issues with transformers v4.49+
  - Fixed i18n translation errors
  - Added mask image output to segment nodes

- **2025/03/21**: Update ComfyUI-RMBG to **v2.1.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v211-20250321) )
  - Enhanced compatibility with Transformers

- **2025/03/19**: Update ComfyUI-RMBG to **v2.1.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v210-20250319) )
  - Integrated internationalization (i18n) support for multiple languages.
  - Improved user interface for dynamic language switching.
  - Enhanced accessibility for non-English speaking users with fully translatable features.

https://github.com/user-attachments/assets/7faa00d3-bbe2-42b8-95ed-2c830a1ff04f

- **2025/03/13**: Update ComfyUI-RMBG to **v2.0.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v200-20250313) )
![image_mask_preview](https://github.com/user-attachments/assets/5e2b2679-4b63-4db1-a6c1-3b26b6f97df3)

  - Added Image and Mask Tools improved functionality.
  - Enhanced code structure and documentation for better usability.
  - Introduced a new category path: `🧪AILab/🛠️UTIL/🖼️IMAGE`.

- **2025/02/24**: Update ComfyUI-RMBG to **v1.9.3** Clean up the code and fix the issue ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v193-20250224) )

- **2025/02/21**: Update ComfyUI-RMBG to **v1.9.2** with Fast Foreground Color Estimation ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v192-20250221) )
![RMBG_V1 9 2](https://github.com/user-attachments/assets/aaf51bff-931b-47ef-b20b-0dabddc49873)
  - Added new foreground refinement feature for better transparency handling
  - Improved edge quality and detail preservation
  - Enhanced memory optimization

- **2025/02/20**: Update ComfyUI-RMBG to **v1.9.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v191-20250220) )
  - Changed repository for model management to the new repository and Reorganized models files structure for better maintainability.

- **2025/02/19**: Update ComfyUI-RMBG to **v1.9.0** with BiRefNet model improvements ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v190-20250219) )
![rmbg_v1 9 0](https://github.com/user-attachments/assets/a7649781-42c9-4af4-94c7-6841e9395f5a)
  - Enhanced BiRefNet model performance and stability
  - Improved memory management for large images

- **2025/02/07**: Update ComfyUI-RMBG to **v1.8.0** with new BiRefNet-HR model ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v180-20250207) )
![RMBG-v1 8 0](https://github.com/user-attachments/assets/d4a1309c-a635-443a-97b5-2639fb48c27a)

  - Added a new custom node for BiRefNet-HR model.
  - Support high resolution image processing (up to 2048x2048)

- **2025/02/04**: Update ComfyUI-RMBG to **v1.7.0** with new BEN2 model ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v170-20250204) )
![rmbg_v1 7 0](https://github.com/user-attachments/assets/22053105-f3db-4e24-be66-ae0ad2cc248e)

  - Added a new custom node for BEN2 model.

- **2025/01/22**: Update ComfyUI-RMBG to **v1.6.0** with new Face Segment custom node ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v160-20250122) )
![RMBG_v1 6 0](https://github.com/user-attachments/assets/9ccefec1-4370-4708-a12d-544c90888bf2)

  - Added a new custom node for face parsing and segmentation
  - Support for 19 facial feature categories (Skin, Nose, Eyes, Eyebrows, etc.)
  - Precise facial feature extraction and segmentation
  - Multiple feature selection for combined segmentation
  - Same parameter controls as other RMBG nodes
    
- **2025/01/05**: Update ComfyUI-RMBG to **v1.5.0** with new Fashion and accessories Segment custom node ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v150-20250105) )
![RMBGv_1 5 0](https://github.com/user-attachments/assets/a250c1a6-8425-4902-b902-a6e1a8bfe959)

  - Added a new custom node for fashion segmentation.

- **2025/01/02**: Update ComfyUI-RMBG to **v1.4.0** with new Clothes Segment node ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v140-20250102) )
![rmbg_v1 4 0](https://github.com/user-attachments/assets/978c168b-03a8-4937-aa03-06385f34b820)

  - Added intelligent clothes segmentation with 18 different categories
  - Support multiple item selection and combined segmentation
  - Same parameter controls as other RMBG nodes
  
- **2024/12/29**: Update ComfyUI-RMBG to **v1.3.2** with background handling ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v132-20241229) )
  - Enhanced background handling to support RGBA output when "Alpha" is selected.
  - Ensured RGB output for all other background color selections.

- **2024/12/25**: Update ComfyUI-RMBG to **v1.3.1** with bug fixes ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v131-20241225) )
  - Fixed an issue with mask processing when the model returns a list of masks.
  - Improved handling of image formats to prevent processing errors.

- **2024/12/23**: Update ComfyUI-RMBG to **v1.3.0** with new Segment node ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v140-20241222) )
![rmbg v1.3.0](https://github.com/user-attachments/assets/7607546e-ffcb-45e2-ab90-83267292757e)

  - Added text-prompted object segmentation
  - Support both tag-style ("cat, dog") and natural language ("a person wearing red jacket") prompts
  - Multiple models: SAM (vit_h/l/b) and GroundingDINO (SwinT/B) (as always model file will be downloaded automatically when first time using the specific model)
  - This update requires install requirements.txt

- **2024/12/12**: Update Comfyui-RMBG ComfyUI Custom Node to **v1.2.2** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v122-20241212) )
![RMBG1 2 2](https://github.com/user-attachments/assets/cb7b1ad0-a2ca-4369-9401-54957af6c636)

- **2024/12/02**: Update Comfyui-RMBG ComfyUI Custom Node to **v1.2.1** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.mdv121-20241202) )
![GIF_TO_AWEBP](https://github.com/user-attachments/assets/7f8275d5-06e5-4880-adfe-930f045df673)

- **2024/11/29**: Update Comfyui-RMBG ComfyUI Custom Node to **v1.2.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v120-20241129) )
![RMBGv1 2 0](https://github.com/user-attachments/assets/4fd10123-6c95-4f9e-8d25-fdb39b5fc792)

- **2024/11/21**: Update Comfyui-RMBG ComfyUI Custom Node to **v1.1.0** ( [update.md](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v110-20241121) )
![comfyui-rmbg version compare](https://github.com/user-attachments/assets/2d23cf42-ca74-49e5-a8bf-9de377bd71aa)

## Features
- Background Removal (RMBG Node)
  - Multiple models: RMBG-2.0, INSPYRENET, BEN, BEN2
  - Various background options
  - Batch processing support
  
- Object Segmentation (Segment Node)
  - Text-prompted object detection
  - Support both tag-style and natural language inputs
  - High-precision segmentation with SAM
  - Flexible parameter controls

- SAM2 Segmentation
  - Text-prompted segmentation with the latest SAM2 models (Tiny/Small/Base+/Large)
  - Automatic model download on first use, with manual download option

![RMBG Demo](https://github.com/user-attachments/assets/f3ffa3c4-5a21-4c0c-a078-b4ffe681c4c4)

## Installation

### Method 1. install on ComfyUI-Manager, search `Comfyui-RMBG` and install
install requirment.txt in the ComfyUI-RMBG folder
  ```bash
  ./ComfyUI/python_embeded/python -m pip install -r requirements.txt
  ```
> [!TIP]
> Note: If your environment cannot install dependencies with the system Python, you can use ComfyUI's embedded Python instead.
> Example (embedded Python): `./ComfyUI/python_embeded/python.exe -m pip install --no-user --no-cache-dir -r requirements.txt`

### Method 2. Clone this repository to your ComfyUI custom_nodes folder:
  ```bash
  cd ComfyUI/custom_nodes
  git clone https://github.com/1038lab/ComfyUI-RMBG
  ```
  install requirment.txt in the ComfyUI-RMBG folder
  ```bash
  ./ComfyUI/python_embeded/python -m pip install -r requirements.txt
  ```

### Method 3: Install via Comfy CLI
  Ensure `pip install comfy-cli` is installed.
  Installing ComfyUI `comfy install` (if you don't have ComfyUI Installed)
  install the ComfyUI-RMBG, use the following command:
  ```bash
  comfy node install ComfyUI-RMBG
  ```
  install requirment.txt in the ComfyUI-RMBG folder
  ```bash
  ./ComfyUI/python_embeded/python -m pip install -r requirements.txt
  ```

### 4. Manually download the models:
- The model will be automatically downloaded to `ComfyUI/models/RMBG/` when first time using the custom node.
- Manually download the RMBG-2.0 model by visiting this [link](https://huggingface.co/1038lab/RMBG-2.0), then download the files and place them in the `/ComfyUI/models/RMBG/RMBG-2.0` folder.
- Manually download the INSPYRENET models by visiting the [link](https://huggingface.co/1038lab/inspyrenet), then download the files and place them in the `/ComfyUI/models/RMBG/INSPYRENET` folder.
- Manually download the BEN model by visiting the [link](https://huggingface.co/1038lab/BEN), then download the files and place them in the `/ComfyUI/models/RMBG/BEN` folder.
- Manually download the BEN2 model by visiting the [link](https://huggingface.co/1038lab/BEN2), then download the files and place them in the `/ComfyUI/models/RMBG/BEN2` folder.
- Manually download the BiRefNet-HR by visiting the [link](https://huggingface.co/1038lab/BiRefNet_HR), then download the files and place them in the `/ComfyUI/models/RMBG/BiRefNet-HR` folder.
- Manually download the SAM models by visiting the [link](https://huggingface.co/1038lab/sam), then download the files and place them in the `/ComfyUI/models/SAM` folder.
- Manually download the SAM2 models by visiting the [link](https://huggingface.co/1038lab/sam2), then download the files (e.g., `sam2.1_hiera_tiny.safetensors`, `sam2.1_hiera_small.safetensors`, `sam2.1_hiera_base_plus.safetensors`, `sam2.1_hiera_large.safetensors`) and place them in the `/ComfyUI/models/sam2` folder.
- Manually download the GroundingDINO models by visiting the [link](https://huggingface.co/1038lab/GroundingDINO), then download the files and place them in the `/ComfyUI/models/grounding-dino` folder.
- Manually download the Clothes Segment model by visiting the [link](https://huggingface.co/1038lab/segformer_clothes), then download the files and place them in the `/ComfyUI/models/RMBG/segformer_clothes` folder.
- Manually download the Fashion Segment model by visiting the [link](https://huggingface.co/1038lab/segformer_fashion), then download the files and place them in the `/ComfyUI/models/RMBG/segformer_fashion` folder.
- Manually download BiRefNet models by visiting the [link](https://huggingface.co/1038lab/BiRefNet), then download the files and place them in the `/ComfyUI/models/RMBG/BiRefNet` folder.
- Manually download SDMatte safetensors models by visiting the [link](https://huggingface.co/1038lab/SDMatte), then download the files and place them in the `/ComfyUI/models/RMBG/SDMatte` folder.

## Usage  
### RMBG Node
![RMBG](https://github.com/user-attachments/assets/cd0eb92e-8f2e-4ae4-95f1-899a6d83cab6)

### Optional Settings :bulb: Tips
| Optional Settings    | :memo: Description                                                           | :bulb: Tips                                                                                   |
|----------------------|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|
| **Sensitivity**      | Adjusts the strength of mask detection. Higher values result in stricter detection. | Default value is 0.5. Adjust based on image complexity; more complex images may require higher sensitivity. |
| **Processing Resolution** | Controls the processing resolution of the input image, affecting detail and memory usage. | Choose a value between 256 and 2048, with a default of 1024. Higher resolutions provide better detail but increase memory consumption. |
| **Mask Blur**        | Controls the amount of blur applied to the mask edges, reducing jaggedness. | Default value is 0. Try setting it between 1 and 5 for smoother edge effects.                    |
| **Mask Offset**      | Allows for expanding or shrinking the mask boundary. Positive values expand the boundary, while negative values shrink it. | Default value is 0. Adjust based on the specific image, typically fine-tuning between -10 and 10. |
| **Background**      | Choose output background color | Alpha (transparent background) Black, White, Green, Blue, Red |
| **Invert Output**      | Flip mask and image output | Invert both image and mask output |
| **Refine Foreground** | Use Fast Foreground Color Estimation to optimize transparent background | Enable for better edge quality and transparency handling |
| **Performance Optimization** | Properly setting options can enhance performance when processing multiple images. | If memory allows, consider increasing `process_res` and `mask_blur` values for better results, but be mindful of memory usage. |

### Basic Usage
1. Load `RMBG (Remove Background)` node from the `🧪AILab/🧽RMBG` category
2. Connect an image to the input
3. Select a model from the dropdown menu
4. select the parameters as needed (optional)
3. Get two outputs:
   - IMAGE: Processed image with transparent, black, white, green, blue, or red background
   - MASK: Binary mask of the foreground

### Parameters
- `sensitivity`: Controls the background removal sensitivity (0.0-1.0)
- `process_res`: Processing resolution (512-2048, step 128)
- `mask_blur`: Blur amount for the mask (0-64)
- `mask_offset`: Adjust mask edges (-20 to 20)
- `background`: Choose output background color
- `invert_output`: Flip mask and image output
- `optimize`: Toggle model optimization

### Segment Node
1. Load `Segment (RMBG)` node from the `🧪AILab/🧽RMBG` category
2. Connect an image to the input
3. Enter text prompt (tag-style or natural language)
4. Select SAM and GroundingDINO models
5. Adjust parameters as needed:
   - Threshold: 0.25-0.35 for broad detection, 0.45-0.55 for precision
   - Mask blur and offset for edge refinement
   - Background color options

<details>
<summary><h2>About Models</h2></summary>

## RMBG-2.0
RMBG-2.0 is is developed by BRIA AI and uses the BiRefNet architecture which includes:
- High accuracy in complex environments
- Precise edge detection and preservation
- Excellent handling of fine details
- Support for multiple objects in a single image
- Output Comparison
- Output with background
- Batch output for video
The model is trained on a diverse dataset of over 15,000 high-quality images, ensuring:
- Balanced representation across different image types
- High accuracy in various scenarios
- Robust performance with complex backgrounds

## INSPYRENET
INSPYRENET is specialized in human portrait segmentation, offering:
- Fast processing speed
- Good edge detection capability
- Ideal for portrait photos and human subjects

## BEN
BEN is robust on various image types, offering:
- Good balance between speed and accuracy
- Effective on both simple and complex scenes
- Suitable for batch processing

## BEN2
BEN2 is a more advanced version of BEN, offering:
- Improved accuracy and speed
- Better handling of complex scenes
- Support for more image types
- Suitable for batch processing

## BIREFNET MODELS
BIREFNET is a powerful model for image segmentation, offering:
- BiRefNet-general purpose model (balanced performance)
- BiRefNet_512x512 model (optimized for 512x512 resolution)
- BiRefNet-portrait model (optimized for portrait/human matting)
- BiRefNet-matting model (general purpose matting)
- BiRefNet-HR model (high resolution up to 2560x2560)
- BiRefNet-HR-matting model (high resolution matting)
- BiRefNet_lite model (lightweight version for faster processing)
- BiRefNet_lite-2K model (lightweight version for 2K resolution)
  
## SAM
SAM is a powerful model for object detection and segmentation, offering:
- High accuracy in complex environments
- Precise edge detection and preservation
- Excellent handling of fine details
- Support for multiple objects in a single image
- Output Comparison
- Output with background
- Batch output for video

## SAM2
SAM2 is the latest segmentation model family designed for efficient, high-quality text-prompted segmentation:
- Multiple sizes: Tiny, Small, Base+, Large
- Optimized inference with strong accuracy
- Automatic download on first use; manual placement supported in `ComfyUI/models/sam2`

## GroundingDINO
GroundingDINO is a model for text-prompted object detection and segmentation, offering:
- High accuracy in complex environments
- Precise edge detection and preservation
- Excellent handling of fine details
- Support for multiple objects in a single image
- Output Comparison
- Output with background
- Batch output for video

## BiRefNet Models
- BiRefNet-general purpose model (balanced performance)
- BiRefNet_512x512 model (optimized for 512x512 resolution)
- BiRefNet-portrait model (optimized for portrait/human matting)
- BiRefNet-matting model (general purpose matting)
- BiRefNet-HR model (high resolution up to 2560x2560)
- BiRefNet-HR-matting model (high resolution matting)
- BiRefNet_lite model (lightweight version for faster processing)
- BiRefNet_lite-2K model (lightweight version for 2K resolution)
</details>


## Requirements
- ComfyUI
- Python 3.10+
- Required packages (automatically installed):
  - huggingface-hub>=0.19.0
  - transparent-background>=1.1.2
  - segment-anything>=1.0
  - groundingdino-py>=0.4.0
  - opencv-python>=4.7.0
  - onnxruntime>=1.15.0
  - onnxruntime-gpu>=1.15.0
  - protobuf>=3.20.2,<6.0.0
  - hydra-core>=1.3.0
  - omegaconf>=2.3.0
  - iopath>=0.1.9

### SDMatte models (manual download)
- Auto-download on first run to `models/RMBG/SDMatte/`
- If network restricted, place weights manually:
  - `models/RMBG/SDMatte/SDMatte.safetensors` (standard) or `SDMatte_plus.safetensors` (plus)
  - Components (config files) are auto-downloaded; if needed, mirror the structure from the Hugging Face repo to `models/RMBG/SDMatte/` (`scheduler/`, `text_encoder/`, `tokenizer/`, `unet/`, `vae/`)

## Troubleshooting (short)
- 401 error when initializing GroundingDINO / missing `models/sam2`:
  - Delete `%USERPROFILE%\.cache\huggingface\token` (and `%USERPROFILE%\.huggingface\token` if present)
  - Ensure no `HF_TOKEN`/`HUGGINGFACE_TOKEN` env vars are set
  - Re-run; public repos download anonymously (no login required)
- Preview shows "Required input is missing: images":
  - Ensure image outputs are connected and upstream nodes ran successfully

## Credits
- RMBG-2.0: https://huggingface.co/briaai/RMBG-2.0
- INSPYRENET: https://github.com/plemeri/InSPyReNet
- BEN: https://huggingface.co/PramaLLC/BEN
- BEN2: https://huggingface.co/PramaLLC/BEN2
- BiRefNet: https://huggingface.co/ZhengPeng7
- SAM: https://huggingface.co/facebook/sam-vit-base
- GroundingDINO: https://github.com/IDEA-Research/GroundingDINO
- Clothes Segment: https://huggingface.co/mattmdjaga/segformer_b2_clothes
- SDMatte: https://github.com/vivoCameraResearch/SDMatte

- Created by: [AILab](https://github.com/1038lab)

## Star History

<a href="https://www.star-history.com/#1038lab/comfyui-rmbg&Date">
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=1038lab/comfyui-rmbg&type=Date&theme=dark" />
   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=1038lab/comfyui-rmbg&type=Date" />
   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=1038lab/comfyui-rmbg&type=Date" />
 </picture>
</a>

If this custom node helps you or you like my work, please give me ⭐ on this repo! It's a great encouragement for my efforts!

## License
GPL-3.0 License
