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:
另外，还有非常重要的一点，config 文件中的 MultiheadFlashAttention 都替换为普通的 MultiheadAttention。
。WPS下载最新地址是该领域的重要参考
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