https://github.com/marcoc2/ComfyUI-AnotherUtils
https://github.com/marcoc2/ComfyUI-AnotherUtils
Last synced: 6 months ago
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- Host: GitHub
- URL: https://github.com/marcoc2/ComfyUI-AnotherUtils
- Owner: marcoc2
- Created: 2024-12-20T04:30:56.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-20T04:34:13.000Z (6 months ago)
- Last Synced: 2024-12-20T05:26:47.076Z (6 months ago)
- Language: Python
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
- awesome-comfyui - **Image Processing Suite for ComfyUI**
README
# Image Processing Suite for ComfyUI
A collection of specialized image processing nodes for ComfyUI, focused on dataset preparation and pixel art manipulation.
## Installation
1. Create a `custom_nodes` directory in your ComfyUI installation if it doesn't exist
2. Clone this repository inside the `custom_nodes` directory:
```bash
cd custom_nodes
git clone https://github.com/marcoc2/ComfyUI-AnotherUtils
```
3. Restart ComfyUI
## Nodes
### Load Images (Original Size)
Loads all images from a directory while preserving their original dimensions.
**Inputs:**
- `directory`: Path to the directory containing images
**Outputs:**
- List of images in their original sizes
**Features:**
- Preserves original image dimensions
- Compatible with ComfyUI's RebatchImages node
- Supports common image formats (png, jpg, jpeg, bmp, webp)
### Custom Crop
Crops images with specific positioning options.
**Inputs:**
- `image`: Input image
- `crop_width`: Width of crop area
- `crop_height`: Height of crop area
- `crop_mode`: Cropping position ("center", "left", "right", "top", "bottom")
**Outputs:**
- Cropped image
### Smart Resize
Resizes images to a target size while intelligently filling missing areas.
**Inputs:**
- `image`: Input image
- `target_size`: Desired size
- `border_sample_size`: Pixels to sample for border color
- `color_method`: Method to determine fill color ("mean" or "mode")
**Outputs:**
- Resized image with intelligent border filling
### Nearest Neighbor Upscale
Performs upscaling using nearest neighbor interpolation, perfect for pixel art.
**Inputs:**
- `image`: Input image
- `scale_factor`: Multiplication factor for upscaling (1-8)
**Outputs:**
- Upscaled image without interpolation artifacts
### Pixel Art Normalizer
Normalizes images into pixel art style with consistent grid sizes.
**Inputs:**
- `image`: Input image
- `block_size`: Size of pixel blocks (0 for auto-detection)
- `n_colors`: Number of colors in output (0 for auto-detection)
**Outputs:**
- `normalized`: Normalized pixel art image at original size
- `block_size`: Detected/used block size
- `downscaled`: 1:1 pixel art version (downscaled by block size)
**Features:**
- Automatic grid size detection
- Color quantization
- Outputs both full-size and true 1:1 pixel art versions
## Usage Examples
### Basic Image Loading and Batching
```
LoadImagesOriginal -> RebatchImages -> [Further Processing]
```
### Pixel Art Creation Pipeline
```
LoadImagesOriginal -> PixelArtNormalizer -> NearestUpscale
```
### Dataset Preparation
```
LoadImagesOriginal -> CustomCrop -> SmartResize -> [Training]
```
## Dependencies
- NumPy
- OpenCV (cv2)
- scikit-learn
- PIL
- PyTorch (provided by ComfyUI)
## Notes
- All nodes maintain compatibility with ComfyUI's native nodes
- Images are handled in RGB format
- All operations preserve proper normalization (0-1 range)
## Contributing
Feel free to open issues or submit pull requests for improvements.