The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
function createBufferWriter() {
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不过更便宜，也意味着消耗同样的 Token，我们能生成更多的图片了。像这种九宫格大头贴的照片，先生成一张总的，直接再要 Nano Banana 2 逐一分割生成。
The small piece of carved thin bone bears an inscription. Experts would expect it to read if complete: "DOMINE VICTOR VINCAS FELIX" or "Lord Victor, may you win and be lucky."