This ComfyUI custom node is designed to process SVG (Scalable Vector Graphics) images, ensuring they fill the canvas accurately while maintaining visual centering and allowing for optional margins. It enhances the handling of complex vector graphics by moving beyond basic geometric bounding boxes to provide a more reliable visual representation.
- Offers visual bounds detection by rendering SVGs to a temporary image for precise bounding box analysis.
- Allows for customizable margin application and output dimensions, enhancing flexibility in artwork presentation.
- Includes advanced settings for fine-tuning visual centering and bounding box detection to accommodate intricate designs.
Context
This tool, known as the SVG Visual Normalize & Margin Node, serves to standardize the framing of SVG artwork within ComfyUI. Its primary purpose is to ensure that SVG images are visually centered, fill their designated canvas, and optionally include margins, which is particularly beneficial for intricate vector graphics that may not conform to simple geometric boundaries.
Key Features & Benefits
The node provides several practical features that enhance the manipulation of SVG files. Visual bounds detection allows for a more accurate representation of the artwork by analyzing a rendered image rather than relying solely on raw path data. This results in improved scaling and centering of the artwork, ensuring that it fits well within the canvas dimensions and looks visually appealing.
Advanced Functionalities
The tool includes advanced options such as visual_bbox_padding_percent, which expands the detected bounding box to prevent clipping of detailed artwork, and render_scale_for_bbox, which adjusts the rendering scale for enhanced accuracy in visual bounds detection. These features enable users to fine-tune the output for complex SVGs, ensuring that no important details are lost during processing.
Practical Benefits
By using this node, users can significantly enhance their workflow in ComfyUI, achieving better control over how SVG graphics are displayed. The ability to set margins and output dimensions allows for a more polished final product, while the visual centering capabilities ensure that artwork is presented as intended without clipping or misalignment. This tool ultimately leads to higher quality outputs and greater efficiency in managing vector graphics.
Credits/Acknowledgments
The SVG Visual Normalize & Margin Node is developed under the MIT License, with contributions from the community. It relies on various external Python libraries, including CairoSVG, Pillow, lxml, and svg.path, along with system-level dependencies for optimal functionality.