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style2paints is an AI-assisted colorization system aimed primarily at line art and manga, turning monochrome drawings into colored illustrations with minimal manual effort. It combines automatic color inference with user guidance, letting artists nudge the model using sparse color hints, masks, or style references. The pipeline focuses on preserving line quality while spreading coherent colors and shading across regions that are often ambiguous to purely automatic methods. Iterative refinement is a core workflow: you can add or adjust hints, rerun inference, and progressively converge on a desired palette and lighting. Beyond flat fills, the model attempts plausible shading and highlights so the result feels less like a “paint bucket” and more like a finished illustration. Because it’s built for artists rather than only researchers, the project emphasizes an approachable UI, predictable edits, and reproducible outputs across sessions.
Features
- AI colorization tailored for line art and manga with minimal hints
- Interactive refinement loop with color strokes, masks, or reference palettes
- Region-aware filling that respects line boundaries and detail
- Automatic shading and highlight inference for more finished looks
- Tools to preserve line crispness while propagating color smoothly
- Export options suitable for digital art workflows and post-edits
Project Samples
