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图片调色
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基础模型: Other
张楚崎
发布时间: 2026-04-28
缩放算法
缩放系数
图像
colors
mode
图像
palette
resize_w
resize_h
pixelize
grid_pixelate_grid_scan_size
2
reduce_colors_before_palette_swap
Off
reduce_colors_method
Image.quantize
reduce_colors_max_colors
128
apply_pixeldetector_max_colors
image_quantize_reduce_method
MAXCOVERAGE
opencv_settings
OpenCV.kmeans: only when reducing is enabled.
RANDOM_CENTERS: Fast but doesn't guarantee same labels for the same image.
PP_CENTERS: Slow but will yield optimum and consistent results for same input image.
attempts: to run criteria_max_iterations so it gets the best labels. Increasing this value will slow down the runtime a lot, but improves the colors!
opencv_kmeans_centers
RANDOM_CENTERS
opencv_kmeans_attempts
10
opencv_criteria_max_iterations
10
pycluster_kmeans_metrics
EUCLIDEAN_SQUARE
cleanup
cleanup_colors
Off
cleanup_pixels_threshold
dither
使用指南
可以选取一张含有自己喜欢的色调的图片，然后将它应用于另一张图片上
返图区
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