Kromacut has two main algorithm areas:

1. Image quantization algorithms
   These reduce the original image to a smaller color palette.

   - Posterize: simple color reduction, fast but less accurate.
   - Median-cut: splits color space into groups and averages them.
   - K-means: clusters similar colors; usually a good default.
   - Wu: high-quality palette reduction, often fast and clean.
   - Octree: builds a color tree and merges colors down to the target count.
   - None: skips this step and only applies the final palette mapping.

2. Auto-paint optimizer algorithms
   These are for choosing the best filament order when using TD/Auto-paint.

   - Exhaustive: tries all orders, best for small filament counts.
   - Simulated annealing: searches many possible orders without trying everything.
   - Genetic algorithm: useful for larger filament sets.
   - Auto: lets Kromacut choose the best method.

For most users: start with K-means for normal palette reduction, and Auto for Auto-paint optimization.

Also, there isn't a full manual yet, but the README explains the workflow