Image Resize is a custom node designed for ComfyUI that enables users to resize images while maintaining their aspect ratios without requiring manual calculations. It also ensures that any associated masks are resized in tandem with the images, offering a streamlined process for image manipulation.
- This tool provides multiple resizing modes, including options for cropping and padding to achieve desired aspect ratios.
- Users can specify target dimensions through various parameters, allowing for precise control over the final image size.
- Advanced settings such as crop position and padding feathering enhance the quality of the output, making it suitable for professional use.
Context
The Image Resize custom node is an essential tool within ComfyUI that simplifies the process of resizing images. Its primary function is to allow users to adjust image dimensions while preserving the original proportions, which is crucial for maintaining visual integrity in various applications.
Key Features & Benefits
This tool offers practical features like multiple resizing actions (resize only, crop to ratio, pad to ratio), enabling users to choose how they want their images adjusted. The ability to set specific dimensions via smaller side, larger side, or scale factor facilitates accurate resizing, which is important for projects requiring consistent image sizes.
Advanced Functionalities
Advanced functionalities include the ability to dictate how images are cropped or padded based on user-defined side ratios. The crop_pad_position setting allows for targeted cropping or padding, ensuring that users can control which parts of the image are altered. Additionally, the pad_feathering feature helps to create smoother transitions when padding is applied, reducing the likelihood of harsh edges that can detract from the overall image quality.
Practical Benefits
Integrating the Image Resize custom node into the ComfyUI workflow significantly enhances efficiency and control over image outputs. By automating the resizing process while offering detailed customization options, users can achieve high-quality results quickly, improving their overall productivity in image editing tasks.
Credits/Acknowledgments
This tool was developed by contributors to the GitHub repository, and it is shared under an open-source license, allowing the community to benefit from and improve upon the work.