https://github.com/marawan206/ComfyUI-FaceCropper
A ComfyUI node that crops images to a 2:3 aspect ratio while keeping the subject centered
https://github.com/marawan206/ComfyUI-FaceCropper
Last synced: about 2 months ago
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A ComfyUI node that crops images to a 2:3 aspect ratio while keeping the subject centered
- Host: GitHub
- URL: https://github.com/marawan206/ComfyUI-FaceCropper
- Owner: marawan206
- License: mit
- Created: 2025-02-21T14:01:01.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-02-21T14:13:19.000Z (about 2 months ago)
- Last Synced: 2025-02-21T15:24:48.300Z (about 2 months ago)
- Language: Python
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-comfyui - **Face Cropper Node (2:3 Ratio)**
README
# Face Cropper Node (2:3 Ratio)
## Overview
The **Face Cropper Node** (`MarwanFaceCropping`) is a custom image processing node designed for **ComfyUI**. It takes an input image and crops it to a **2:3 aspect ratio**, ensuring that most of the subject remains in the frame while maintaining the correct proportions.
## Features
- Automatically crops images to a 2:3 ratio.
- Maintains the maximum possible height while adjusting width.
- Handles various image sizes and shapes, including non-square images.
- Includes error handling for incorrect input shapes.
## Installation
1. Clone this repository:
```sh
git clone https://github.com/marawan206/ComfyUI-FaceCropper.git
cd face-cropper-node
```
2. Install dependencies if needed:
```sh
pip install torch pytest
```
3. Add the node to your **ComfyUI** workflow.
## Usage
The node expects an input image tensor of shape `(batch, height, width, channels)`, where:
- `batch` is the number of images.
- `height` remains unchanged.
- `width` is adjusted to maintain a **2:3 ratio**.
Example:
```python
import torch
from face_cropper_node import MarwanFaceCropping
image = torch.rand(1, 1024, 1024, 3) # Example input image
node = MarwanFaceCropping()
cropped, = node.execute(image)
print(cropped.shape) # Output shape should be (1, 1024, 682, 3)
```
## Running Tests
To verify functionality, run:
```sh
pytest test.py
```
## Contributing
Feel free to submit issues or pull requests to improve the node.
## License
MIT License. See `LICENSE` for details.