fix: 治理抠图白边——推荐改用模型 alpha，新增收边与颜色反溢出

用户反馈边缘一圈白边。诊断：按 alpha 分层统计 RGB 均值， alpha 0.05~0.3 的边缘像素 RGB 高达 0.989（角色本体只有 0.363），证实边缘掺了背景白 —— 我只设了 alpha 却没动 RGB。新增两个参数： - decontaminate 颜色反溢出，按观察色=前景×a+白×(1-a) 反解前景色 - edge_shrink 把边缘那圈几乎全是背景的半透明像素收掉实测白边强度（合成到深绿底，量主体外缘3像素环带比背景亮多少）：都关闭 0.0483 / 只反溢出 0.0466 / 只收边 0.0283 / 两者 0.0261 / 狠收边 0.0164 即：收边是主力（-41%），反溢出单独几乎无效（-3.5%）——因为观察色本身就太白，反解出来还是白。这点如实写进 tooltip 与 README。但收边暴露了颜色阈值法的死穴：它按「离白色多远」估 alpha，白衬衫接近白、alpha 天生偏低，收边会把衬衫啃出破洞（肉眼可见背景透过衣服）。这不是调参能解决的，故改推荐语义级抠图： - bg_mode 默认改为「已带透明通道（推荐·上游接抠图节点）」，选项名直接把取舍写进去，旧选项名保留在 _BG_ALIAS 里做兼容 - edge_shrink 默认 0.2（配模型 alpha 够用；配阈值法需 0.35+） - 示例工作流插入 Lucida 节点：加载视频 → Lucida → 拆分（masks 输入）实测 Lucida 一次识别整张雪碧图全部 8 个角色（各格前景占比 0.18~0.24，中间空格 0.002）；同等白边水平下主体被啃面积比阈值法少 35%，白衬衫完好。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-30 10:23:54 +08:00
parent 9c674bac42
commit 2a6fd42c57
3 changed files with 334 additions and 160 deletions
@@ -1,14 +1,14 @@
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 "revision": 0,
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+   "bgcolor": "#353",
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@@ -106,7 +156,7 @@
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@@ -114,7 +164,7 @@
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@@ -160,23 +218,25 @@
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   "bgcolor": "#353",
-   "title": "② 八方向拆分（拆分+编号+分组）"
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@@ -235,10 +295,10 @@
   "title": "1. SW → 透明 webm"
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@@ -267,10 +327,10 @@
   "title": "1. SW → 透明 PNG 序列帧"
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@@ -327,10 +387,10 @@
   "title": "2. S → 透明 webm"
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@@ -359,10 +419,10 @@
   "title": "2. S → 透明 PNG 序列帧"
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@@ -419,10 +479,10 @@
   "title": "3. SE → 透明 webm"
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@@ -451,10 +511,10 @@
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@@ -511,10 +571,10 @@
   "title": "4. W → 透明 webm"
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@@ -522,13 +582,13 @@
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@@ -543,10 +603,10 @@
   "title": "4. W → 透明 PNG 序列帧"
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@@ -603,10 +663,10 @@
   "title": "5. E → 透明 webm"
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@@ -614,13 +674,13 @@
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@@ -635,10 +695,10 @@
   "title": "5. E → 透明 PNG 序列帧"
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@@ -646,13 +706,13 @@
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@@ -695,10 +755,10 @@
   "title": "6. NW → 透明 webm"
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@@ -706,13 +766,13 @@
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@@ -727,10 +787,10 @@
   "title": "6. NW → 透明 PNG 序列帧"
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@@ -787,10 +847,10 @@
   "title": "7. N → 透明 webm"
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   "type": "SaveImage",
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@@ -798,13 +858,13 @@
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+     "link": 17
    }
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   "outputs": [],
@@ -819,10 +879,10 @@
   "title": "7. N → 透明 PNG 序列帧"
  },
  {
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+   "id": 18,
   "type": "VHS_VideoCombine",
   "pos": [
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+    -1400,
    2150
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@@ -830,13 +890,13 @@
    460
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     "type": "IMAGE",
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    },
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     "name": "audio",
@@ -879,10 +939,10 @@
   "title": "8. NE → 透明 webm"
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  {
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   "type": "SaveImage",
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    2150
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@@ -890,13 +950,13 @@
    300
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@@ -911,24 +971,24 @@
   "title": "8. NE → 透明 PNG 序列帧"
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-    "八方向行走动画 —— 完整管线\n\n【前置步骤（在本工作流之外完成）】\n  角色图 →(GPTimage2)→ 八方向静态图 →(Seedance 首尾帧)→ 循环行走视频\n  视频每一帧上都排布着 8 个朝向的角色。\n\n【本工作流做的事】\n  ① VHS「Load Video」把视频转成序列帧\n     · force_rate 就是帧率选择。设 0 用源视频帧率；\n       设 12 可减半出帧、素材更小，走路动画通常 8~12 帧一循环就够\n     · frame_load_cap 可限制总帧数，先小批量试参数很有用\n  ② 本仓库「八方向序列拆分」：切格 + 编号 + 按方向分组，一次给出 8 条序列\n  ③ 每个方向各接一个 VHS「Video Combine」出透明 webm\n  ④ 每个方向各接一个 SaveImage 出透明 PNG 序列帧\n\n【拆分节点的关键参数】\n  · grid_cols / grid_rows / empty_cells\n      3×3 中间留空即 empty_cells=4。序号行优先、从 0 开始。\n  · direction_names\n      按「跳过空格后的先后顺序」命名，默认对应下面这个排布：\n          SW  S  SE      ← 行1：面向观众\n          W      E       ← 行2：侧面\n          NW  N  NE      ← 行3：背对观众\n      与你的素材不符就直接改这行，名字只影响标注不影响画面。\n  · bg_mode / bg_threshold\n      白底转透明。只把「与画面边缘相连」的白色判为背景，\n      所以角色身上的白衬衫、白高光不会被掏空。\n      背景没扣净就调低阈值，角色边缘被啃就调高。\n  · expand_beyond_cell（务必开启）\n      允许角色超出格子边界。关闭时按格线严格切分，角色只要探出格线\n      就会被切断（最典型的是脚被削掉）。开启后格子只用来判定方向，\n      实际范围由角色自身的连通区域决定。\n  · auto_crop\n      裁掉多余空白。裁剪框取该方向所有帧的并集，\n      因此整条序列尺寸一致（能合成视频），角色也不会在帧间跳动。\n\n【为什么不用连通区域拆分（本仓库的「素材拆分」节点）】\n  那个节点按包围盒排序，角色走动时位置浮动，一旦跨过排序行界方向就会错乱；\n  且每个 sprite 按各自 bbox 裁剪、尺寸不一，无法直接合成视频。\n  固定网格没有这两个问题 —— 但它更适合单张静态合图，两者各有用途。\n\n【webm 透明的关键】\n  Video Combine 的 format 必须选 video/webm，且 pix_fmt 选 yuva420p。\n  注意：alpha 存放在 WebM 的独立边带里，所以用 ffprobe 看主流会显示\n  yuv420p，这是正常的。播放器/引擎（走 libvpx 解码）能正确读到透明通道；\n  若要用 ffmpeg 自行验证，需显式加 -c:v libvpx-vp9 解码，\n  否则内置 vp9 解码器不会输出 alpha，会让人误以为透明丢了。\n\n【实测（97 帧 834×1112 的素材）】\n  拆分耗时约 4 秒，8 个方向各 97 帧，尺寸 172×370 ~ 206×327。"
+    "八方向行走动画 —— 完整管线\n\n【前置步骤（在本工作流之外完成）】\n  角色图 →(GPTimage2)→ 八方向静态图 →(Seedance 首尾帧)→ 循环行走视频\n  视频每一帧上都排布着 8 个朝向的角色。\n\n【本工作流做的事】\n  ① VHS「Load Video」把视频转成序列帧\n     · force_rate 就是帧率选择。设 0 用源视频帧率；\n       设 12 可减半出帧、素材更小，走路动画通常 8~12 帧一循环就够\n     · frame_load_cap 可限制总帧数，先小批量试参数很有用\n  ② Lucida 抠图，为拆分提供语义级 alpha（见下方「为什么要接抠图节点」）\n  ③ 八方向拆分：切格 + 编号 + 按方向分组，一次给出 8 条序列\n  ④ 每个方向各接一个 VHS「Video Combine」出透明 webm\n  ⑤ 每个方向各接一个 SaveImage 出透明 PNG 序列帧\n\n■ 为什么要接抠图节点，而不是让拆分节点自己扣白底 ————\n\n拆分节点自带的「白底转透明」是纯颜色阈值法：按「离白色多远」估 alpha。\n它的死穴是角色身上的白色衣物 —— 白衬衫本身就接近白，alpha 天生偏低，\n一旦收边压白边，衬衫就会被啃出破洞（实测会看到背景色透过衣服）。\n\nLucida 是按语义判断的，知道那是衣服而不是背景。实测（同一素材、\n同等白边水平）：主体被啃掉的面积比阈值法少 35%，白衬衫完好。\nLucida 一次就能把整张雪碧图的 8 个角色全部识别出来\n（各格前景占比 0.18~0.24，中间空格 0.002）。\n\n素材里确实没有白色元素时，可以把 bg_mode 改成「白底转透明」省掉模型开销；\n此时 edge_shrink 要调到 0.35 以上才压得住白边。\n\n■ 治白边的两个参数 ————————————————————\n\n  · edge_shrink（主力）把边缘那圈几乎全是背景的半透明像素收掉。\n      配模型 alpha 用 0.15~0.25；配阈值法要 0.35+。\n      实测：0 → 白边强度 0.048；0.2 → 0.026；0.5 → 0.016。\n  · decontaminate（辅助）颜色反溢出，按\n      观察色 = 前景×a + 白×(1-a) 反解真正的前景色。\n      单独用改善很小（约 3%），要和收边配合。\n\n■ 拆分节点的其他关键参数 ————————————————\n\n  · grid_cols / grid_rows / empty_cells\n      3×3 中间留空即 empty_cells=4。序号行优先、从 0 开始。\n  · direction_names\n      按「跳过空格后的先后顺序」命名，默认对应：\n          SW  S  SE      ← 行1：面向观众\n          W      E       ← 行2：侧面\n          NW  N  NE      ← 行3：背对观众\n      与素材不符就直接改这行，名字只影响标注不影响画面。\n  · expand_beyond_cell（务必开启）\n      允许角色超出格子边界。关闭时按格线严格切分，角色只要探出格线\n      就会被切断（最典型的是脚被削掉）。开启后格子只用来判定方向，\n      实际范围由角色自身的连通区域决定。三种 bg_mode 都有效。\n  · auto_crop\n      裁剪框取该方向所有帧的并集，因此整条序列尺寸一致（能合成视频），\n      角色也不会在帧间跳动。\n\n■ webm 透明的关键 ————————————————————\n\n  Video Combine 的 format 必须选 video/webm，pix_fmt 必须选 yuva420p。\n  注意：alpha 存放在 WebM 的独立边带里，用 ffprobe 看主流会显示 yuv420p，\n  这是正常的。播放器/引擎（走 libvpx 解码）能正确读到透明通道；\n  若要用 ffmpeg 自行验证，需显式加 -c:v libvpx-vp9 解码，\n  否则内置 vp9 解码器不输出 alpha，会让人误以为透明丢了。"
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