This is a simplified guide to an AI model called Vectorized-Dot-Grid maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The vectorized-dot-grid model transforms images into modern halftone-style artwork using a clean vectorized dot pattern. Created by Brett from Designjoy and implemented by lucataco, this tool converts photographs and graphics into stylized compositions where varying dot sizes create visual depth and texture. Unlike the dotted-video model which processes video content into black and white dots, this model focuses on static images with full color retention and precise vectorized output suitable for print and digital design applications.
Model inputs and outputs
The model accepts standard image files and transforms them through a configurable dot grid system that analyzes brightness values to determine dot placement and sizing. Users control the visual outcome through parameters that adjust grid density, dot scaling, and brightness sensitivity, producing high-resolution vectorized images ready for design workflows.
Inputs
- image: Input image in standard formats (PNG, JPG) for dot grid conversion
- grid_size: Controls dot density from 2-50 (higher values create fewer, larger dots)
- dot_scale: Adjusts dot size relative to grid cells (0.1-1.0 scale factor)
- output_width: Sets final image width from 256-2048 pixels
- brightness_threshold: Determines dot visibility based on brightness (0.0-1.0 range)
Outputs
- Vectorized image: High-quality dot grid interpretation delivered as a URI-accessible image file
Capabilities
This model excels at creating sophisti...
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