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SCAIL 2 Single-Reference Edit Long Video (Episode 261)
SCAIL 2 Single-Reference Edit Long Video (Episode 261)
SCAIL 2 Single-Reference Edit Long Video (Episode 261)
# SCAIL 2 Single-Reference Edit Long Video (Episode 261) ComfyUI workflow exported from **AI-KSK episode 261**. **File:** `SCAIL 2 单人参考编辑长视频.json` ## What it does SCAIL 2 Single-Reference Edit Long Video. The episode wal…
图像
58 个节点 3 次使用 AIKSK 96 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
50_scail-2-single-reference-edit-long-video-episode-261.json
模型库暂未收录
节点构成
LoraLoaderModelOnly
× 9
CLIPTextEncode
× 3
easy mathInt
× 3
VHS_VideoCombine
× 3
Int
× 3
easy int
× 2
SAM3_VideoTrack
× 2
WanSCAILToVideo
× 2
SamplerCustom
× 2
VAEDecode
× 2
GetImageRangeFromBatch
× 2
ImageResizeKJv2
× 2
MarkdownNote
× 1
PrimitiveNode
× 1
UNETLoader
× 1
ModelSamplingSD3
× 1
官方标注的模型
FastWan_T2V_14B_480p_lora_rank_128_bf16.safetensorsWan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensorsWan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensorsWan21_PusaV1_LoRA_14B_rank512_bf16.safetensorsWanAnimate_relight_lora_fp16.safetensorsclip_vision_vit_h.safetensorslightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensorssam3.1_multiplex_fp16.safetensorsstage1_480p.safetensorsstage2_480p.safetensorsstage3_720p_beta.safetensorsumt5_xxl_fp8_e4m3fn_scaled.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
1{
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3 "nodes": [
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6 "color": "#432",
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8 "【最终流程 03：单人骨骼引导 + 人物替换】\n单人骨骼引导加人物替换：把参考图人物替换到单人驱动视频目标人物上，最终不做图像复合，直接输出循环生成帧。\n\n硬规则：参考图和驱动视频都统一对齐到 512x896。节点18处理驱动视频；节点60处理参考图。两者必须同尺寸后再进入 SAM3、CLIPVision、SCAIL。\n\n主体设置：SAM3 max_objects=1；SCAIL2ColoredMask object_indices=0；sort_by=left_to_right；replacement_mode=true。\n\n循环规则：首段65帧；循环体81帧；每轮去掉5帧重叠，所以每轮有效新增76帧。循环次数 N=max(1, ceil((F-65)/76))。\n\n合并视频规则：最终 VHS_VideoCombine 的 images 直接接循环出口生成帧，audio 接原视频音频，frame_rate 接统一帧率节点；不再接 ImageCompositeMasked。\n\n废弃规则：不使用 Set/Get，不使用 TensorLoop，不使用 GIMMVFI 插帧。\n\n模型与 LoRA：主模型为 `wan2.1_14B_SCAIL_2_fp8_scaled.safetensors`。保留多 LoRA 串联加载。"
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132 ],
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136 "widget_ue_connectable": [],
137 "Node name for S&R": "Negative Prompt"
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141 {
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169 "link": 10,
170 "label": "clip",
171 "type": "CLIP",
172 "localized_name": "clip"
173 },
174 {
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177 },
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181 "localized_name": "text"
182 }
183 ],
184 "flags": [],
185 "id": 6,
186 "type": "CLIPTextEncode",
187 "properties": {
188 "note": "描述需要追踪的人物主体，供 SAM3 在参考图与驱动视频中定位同一类目标。",
189 "widget_ue_connectable": [],
190 "Node name for S&R": "SAM3 Subject Prompt"
191 },
192 "order": 17
193 },
194 {
195 "mode": 0,
196 "outputs": [
197 {
198 "widget": {
199 "name": "replacement_mode"
200 },
201 "name": "BOOLEAN",
202 "links": [
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205 108
206 ],
207 "label": "BOOLEAN",
208 "type": "BOOLEAN"
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219 "widgets_values": [
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221 ],
222 "inputs": [],
223 "flags": [],
224 "id": 7,
225 "type": "PrimitiveNode",
226 "properties": {
227 "note": "False=骨骼引导动画；True=骨骼引导加人物替换。首段、循环体、彩色遮罩必须共用同一个开关。",
228 "widget_ue_connectable": [],
229 "Run widget replace on values": false,
230 "Node name for S&R": "统一开关：replacement_mode"
231 },
232 "order": 1
233 },
234 {
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267 "label": "value",
268 "type": "INT",
269 "localized_name": "value"
270 }
271 ],
272 "flags": [],
273 "id": 8,
274 "type": "easy int",
275 "properties": {
276 "note": "统一控制加载视频 force_rate 和合并视频 frame_rate。默认 24fps；改这里一个值即可同步全流程。",
277 "widget_ue_connectable": {
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279 },
280 "Node name for S&R": "统一帧率 FPS"
281 },
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283 },
284 {
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286 "outputs": [
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288 "name": "MODEL",
289 "links": [
290 2
291 ],
292 "label": "MODEL",
293 "type": "MODEL",
294 "localized_name": "MODEL"
295 }
296 ],
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300 ],
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304 ],
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307 "default"
308 ],
309 "inputs": [
310 {
311 "widget": {
312 "name": "unet_name"
313 },
314 "name": "unet_name",
315 "label": "unet_name",
316 "type": "COMBO",
317 "localized_name": "unet_name"
318 },
319 {
320 "widget": {
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322 },
323 "name": "weight_dtype",
324 "label": "weight_dtype",
325 "type": "COMBO",
326 "localized_name": "weight_dtype"
327 }
328 ],
329 "flags": [],
330 "id": 9,
331 "type": "UNETLoader",
332 "properties": {
333 "note": "主模型：wan2.1_14B_SCAIL_2_fp8_scaled.safetensors。",
334 "widget_ue_connectable": {
335 "weight_dtype": true,
336 "unet_name": true
337 },
338 "Node name for S&R": "SCAIL-2 大模型 UNETLoader"
339 },
340 "order": 3
341 },
342 {
343 "outputs": [
344 {
345 "name": "MODEL",
346 "links": [
347 200
348 ],
349 "label": "MODEL",
350 "type": "MODEL",
351 "localized_name": "MODEL"
352 }
353 ],
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355 "widgets_values": [
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380 "name": "strength_model",
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393 ],
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398 "id": 10,
399 "properties": {
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401 "widget_ue_connectable": [],
402 "Node name for S&R": "LoRA 01：LightX2V rank128"
403 },
404 "order": 14
405 },
406 {
407 "outputs": [
408 {
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426 "link": 3,
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451 -120
452 ],
453 "id": 11,
454 "properties": {
455 "note": "接在 9 个 LoRA 串联之后；两个 SamplerCustom 的 model 都吃这里的输出。",
456 "widget_ue_connectable": [],
457 "Node name for S&R": "ModelSamplingSD3：shift=5"
458 },
459 "order": 43
460 },
461 {
462 "outputs": [
463 {
464 "name": "VAE",
465 "links": [
466 31,
467 47,
468 54,
469 71
470 ],
471 "label": "VAE",
472 "type": "VAE",
473 "localized_name": "VAE"
474 }
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484 },
485 "name": "vae_name",
486 "label": "vae_name",
487 "type": "COMBO",
488 "localized_name": "vae_name"
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499 "pos": [
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506 "widget_ue_connectable": [],
507 "Node name for S&R": "WAN VAE"
508 },
509 "order": 4
510 },
511 {
512 "outputs": [
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514 "name": "CLIP",
515 "links": [
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517 9
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519 "label": "CLIP",
520 "type": "CLIP",
521 "localized_name": "CLIP"
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576 "Node name for S&R": "WAN Text Encoder"
577 },
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623 "Node name for S&R": "CLIP Vision"
624 },
625 "order": 6
626 },
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686 "widget_ue_connectable": [],
687 "Node name for S&R": "SAM3 Model"
688 },
689 "order": 7
690 },
691 {
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724 "localized_name": "sampler_name"
725 }
726 ],
727 "flags": [],
728 "id": 16,
729 "type": "KSamplerSelect",
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733 "Node name for S&R": "Sampler：euler"
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735 "order": 8
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737 {
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746 "label": "SIGMAS",
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787 "type": "INT",
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794 "name": "denoise",
795 "label": "denoise",
796 "type": "FLOAT",
797 "localized_name": "denoise"
798 }
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800 "flags": [],
801 "id": 17,
802 "type": "BasicScheduler",
803 "properties": {
804 "note": "Scheduler 使用同一套多 LoRA 模型，保持首段和循环体一致。",
805 "widget_ue_connectable": [],
806 "Node name for S&R": "Steps / CFG Scheduler"
807 },
808 "order": 44
809 },
810 {
811 "outputs": [
812 {
813 "name": "CLIP_VISION_OUTPUT",
814 "links": [
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816 59
817 ],
818 "label": "CLIP_VISION_OUTPUT",
819 "type": "CLIP_VISION_OUTPUT",
820 "localized_name": "CLIP_VISION_OUTPUT"
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830 "link": 6,
831 "label": "clip_vision",
832 "type": "CLIP_VISION",
833 "localized_name": "clip_vision"
834 },
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838 "label": "image",
839 "type": "IMAGE",
840 "localized_name": "image"
841 },
842 {
843 "widget": {
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846 "name": "crop",
847 "label": "crop",
848 "type": "COMBO",
849 "localized_name": "crop"
850 }
851 ],
852 "flags": [],
853 "type": "CLIPVisionEncode",
854 "mode": 0,
855 "bgcolor": "#355",
856 "size": [
857 289.5,
858 104.328125
859 ],
860 "pos": [
861 1540,
862 220
863 ],
864 "id": 19,
865 "properties": {
866 "note": "对参考图主体做视觉编码，用于稳定角色身份。",
867 "widget_ue_connectable": [],
868 "Node name for S&R": "Encode Reference Identity"
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870 "order": 36
871 },
872 {
873 "mode": 0,
874 "outputs": [
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876 "name": "track_data",
877 "links": [
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879 ],
880 "label": "track_data",
881 "type": "SAM3_TRACK_DATA",
882 "localized_name": "track_data"
883 }
884 ],
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887 218.328125
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889 "pos": [
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891 220
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902 "label": "images",
903 "type": "IMAGE",
904 "localized_name": "images"
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906 {
907 "name": "model",
908 "link": 12,
909 "label": "model",
910 "type": "MODEL",
911 "localized_name": "model"
912 },
913 {
914 "shape": 7,
915 "name": "initial_mask",
916 "label": "initial_mask",
917 "type": "MASK",
918 "localized_name": "initial_mask"
919 },
920 {
921 "shape": 7,
922 "name": "conditioning",
923 "link": 13,
924 "label": "conditioning",
925 "type": "CONDITIONING",
926 "localized_name": "conditioning"
927 },
928 {
929 "widget": {
930 "name": "detection_threshold"
931 },
932 "name": "detection_threshold",
933 "label": "detection_threshold",
934 "type": "FLOAT",
935 "localized_name": "detection_threshold"
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937 {
938 "widget": {
939 "name": "max_objects"
940 },
941 "name": "max_objects",
942 "label": "max_objects",
943 "type": "INT",
944 "localized_name": "max_objects"
945 },
946 {
947 "widget": {
948 "name": "detect_interval"
949 },
950 "name": "detect_interval",
951 "label": "detect_interval",
952 "type": "INT",
953 "localized_name": "detect_interval"
954 }
955 ],
956 "flags": [],
957 "id": 20,
958 "type": "SAM3_VideoTrack",
959 "title": "SAM3 追踪驱动主体",
960 "properties": {
961 "note": "SAM3 追踪主体数 max_objects=1。单人用 1，双人用 2。",
962 "widget_ue_connectable": [],
963 "Node name for S&R": "Track Driving Subject"
964 },
965 "order": 25
966 },
967 {
968 "mode": 0,
969 "outputs": [
970 {
971 "name": "track_data",
972 "links": [
973 18,
974 99
975 ],
976 "label": "track_data",
977 "type": "SAM3_TRACK_DATA",
978 "localized_name": "track_data"
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1004 "link": 15,
1005 "label": "model",
1006 "type": "MODEL",
1007 "localized_name": "model"
1008 },
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1011 "name": "initial_mask",
1012 "label": "initial_mask",
1013 "type": "MASK",
1014 "localized_name": "initial_mask"
1015 },
1016 {
1017 "shape": 7,
1018 "name": "conditioning",
1019 "link": 16,
1020 "label": "conditioning",
1021 "type": "CONDITIONING",
1022 "localized_name": "conditioning"
1023 },
1024 {
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1027 },
1028 "name": "detection_threshold",
1029 "label": "detection_threshold",
1030 "type": "FLOAT",
1031 "localized_name": "detection_threshold"
1032 },
1033 {
1034 "widget": {
1035 "name": "max_objects"
1036 },
1037 "name": "max_objects",
1038 "label": "max_objects",
1039 "type": "INT",
1040 "localized_name": "max_objects"
1041 },
1042 {
1043 "widget": {
1044 "name": "detect_interval"
1045 },
1046 "name": "detect_interval",
1047 "label": "detect_interval",
1048 "type": "INT",
1049 "localized_name": "detect_interval"
1050 }
1051 ],
1052 "flags": [],
1053 "id": 21,
1054 "type": "SAM3_VideoTrack",
1055 "title": "SAM3 追踪参考主体",
1056 "properties": {
1057 "note": "SAM3 追踪主体数 max_objects=1。单人用 1，双人用 2。",
1058 "widget_ue_connectable": [],
1059 "Node name for S&R": "Track Reference Subject"
1060 },
1061 "order": 23
1062 },
1063 {
1064 "mode": 0,
1065 "outputs": [
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1067 "name": "pose_video_mask",
1068 "links": [
1069 34,
1070 57,
1071 85
1072 ],
1073 "label": "pose_video_mask",
1074 "type": "IMAGE",
1075 "localized_name": "pose_video_mask"
1076 },
1077 {
1078 "name": "reference_image_mask",
1079 "links": [
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1081 58
1082 ],
1083 "label": "reference_image_mask",
1084 "type": "IMAGE",
1085 "localized_name": "reference_image_mask"
1086 }
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1095 ],
1096 "widgets_values": [
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1098 "left_to_right",
1099 true
1100 ],
1101 "inputs": [
1102 {
1103 "name": "driving_track_data",
1104 "link": 17,
1105 "label": "driving_track_data",
1106 "type": "SAM3_TRACK_DATA",
1107 "localized_name": "driving_track_data"
1108 },
1109 {
1110 "shape": 7,
1111 "name": "ref_track_data",
1112 "link": 18,
1113 "label": "ref_track_data",
1114 "type": "SAM3_TRACK_DATA",
1115 "localized_name": "ref_track_data"
1116 },
1117 {
1118 "widget": {
1119 "name": "object_indices"
1120 },
1121 "name": "object_indices",
1122 "label": "object_indices",
1123 "type": "STRING",
1124 "localized_name": "object_indices"
1125 },
1126 {
1127 "widget": {
1128 "name": "sort_by"
1129 },
1130 "name": "sort_by",
1131 "label": "sort_by",
1132 "type": "COMBO",
1133 "localized_name": "sort_by"
1134 },
1135 {
1136 "widget": {
1137 "name": "replacement_mode"
1138 },
1139 "name": "replacement_mode",
1140 "link": 19,
1141 "label": "replacement_mode",
1142 "type": "BOOLEAN",
1143 "localized_name": "replacement_mode"
1144 }
1145 ],
1146 "flags": [],
1147 "id": 22,
1148 "type": "SCAIL2ColoredMask",
1149 "title": "SCAIL-2 双路遮罩：骨骼/参考两路都接",
1150 "properties": {
1151 "note": "object_indices=0；sort_by=left_to_right；replacement_mode=true。pose_video_mask 和 reference_image_mask 两个输出都必须接到 WanSCAILToVideo。",
1152 "widget_ue_connectable": {
1153 "replacement_mode": true
1154 },
1155 "Node name for S&R": "SCAIL-2 双路遮罩：骨骼/参考两路都接"
1156 },
1157 "order": 30
1158 },
1159 {
1160 "mode": 0,
1161 "outputs": [
1162 {
1163 "name": "INT",
1164 "links": [
1165 21
1166 ],
1167 "label": "INT",
1168 "type": "INT",
1169 "localized_name": "INT"
1170 }
1171 ],
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1174 110
1175 ],
1176 "pos": [
1177 120,
1178 1720
1179 ],
1180 "widgets_values": [
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1182 65,
1183 "subtract"
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1185 "inputs": [
1186 {
1187 "widget": {
1188 "name": "a"
1189 },
1190 "name": "a",
1191 "link": 20,
1192 "label": "a",
1193 "type": "INT",
1194 "localized_name": "a"
1195 },
1196 {
1197 "widget": {
1198 "name": "b"
1199 },
1200 "name": "b",
1201 "label": "b",
1202 "type": "INT",
1203 "localized_name": "b"
1204 },
1205 {
1206 "widget": {
1207 "name": "operation"
1208 },
1209 "name": "operation",
1210 "label": "operation",
1211 "type": "COMBO",
1212 "localized_name": "operation"
1213 }
1214 ],
1215 "flags": [],
1216 "id": 23,
1217 "type": "easy mathInt",
1218 "properties": {
1219 "note": "F 为驱动视频实际加载帧数；先计算 F - 65，65 是首段生成长度。",
1220 "widget_ue_connectable": {
1221 "a": true,
1222 "b": true,
1223 "operation": true
1224 },
1225 "Node name for S&R": "循环次数计算 1：总帧数减首段"
1226 },
1227 "order": 22
1228 },
1229 {
1230 "mode": 0,
1231 "outputs": [
1232 {
1233 "name": "INT",
1234 "links": [
1235 22
1236 ],
1237 "label": "INT",
1238 "type": "INT",
1239 "localized_name": "INT"
1240 }
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1242 "size": [
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1246 "pos": [
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1250 "widgets_values": [
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1253 "add"
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1255 "inputs": [
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1257 "widget": {
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1259 },
1260 "name": "a",
1261 "link": 21,
1262 "label": "a",
1263 "type": "INT",
1264 "localized_name": "a"
1265 },
1266 {
1267 "widget": {
1268 "name": "b"
1269 },
1270 "name": "b",
1271 "label": "b",
1272 "type": "INT",
1273 "localized_name": "b"
1274 },
1275 {
1276 "widget": {
1277 "name": "operation"
1278 },
1279 "name": "operation",
1280 "label": "operation",
1281 "type": "COMBO",
1282 "localized_name": "operation"
1283 }
1284 ],
1285 "flags": [],
1286 "id": 24,
1287 "type": "easy mathInt",
1288 "properties": {
1289 "note": "整数除法前加 75，相当于对除以 76 做向上取整。",
1290 "widget_ue_connectable": {
1291 "a": true,
1292 "b": true,
1293 "operation": true
1294 },
1295 "Node name for S&R": "循环次数计算 2：补齐向上取整"
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1298 },
1299 {
1300 "mode": 0,
1301 "outputs": [
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1303 "name": "INT",
1304 "links": [
1305 23,
1306 27
1307 ],
1308 "label": "INT",
1309 "type": "INT",
1310 "localized_name": "INT"
1311 }
1312 ],
1313 "size": [
1314 260,
1315 110
1316 ],
1317 "pos": [
1318 120,
1319 2000
1320 ],
1321 "widgets_values": [
1322 0,
1323 76,
1324 "divide"
1325 ],
1326 "inputs": [
1327 {
1328 "widget": {
1329 "name": "a"
1330 },
1331 "name": "a",
1332 "link": 22,
1333 "label": "a",
1334 "type": "INT",
1335 "localized_name": "a"
1336 },
1337 {
1338 "widget": {
1339 "name": "b"
1340 },
1341 "name": "b",
1342 "label": "b",
1343 "type": "INT",
1344 "localized_name": "b"
1345 },
1346 {
1347 "widget": {
1348 "name": "operation"
1349 },
1350 "name": "operation",
1351 "label": "operation",
1352 "type": "COMBO",
1353 "localized_name": "operation"
1354 }
1355 ],
1356 "flags": [],
1357 "id": 25,
1358 "type": "easy mathInt",
1359 "properties": {
1360 "note": "每轮续写 81 帧，但前 5 帧会作为重叠历史删掉，所以每轮实际新增 76 帧。",
1361 "widget_ue_connectable": {
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1363 "b": true,
1364 "operation": true
1365 },
1366 "Node name for S&R": "循环次数计算 3：除以每轮新增帧"
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1368 "order": 31
1369 },
1370 {
1371 "mode": 0,
1372 "outputs": [
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1374 "name": "int",
1375 "links": [
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1377 26
1378 ],
1379 "label": "int",
1380 "type": "INT",
1381 "localized_name": "int"
1382 }
1383 ],
1384 "size": [
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1386 90
1387 ],
1388 "pos": [
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1390 2140
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1395 "inputs": [
1396 {
1397 "widget": {
1398 "name": "value"
1399 },
1400 "name": "value",
1401 "label": "value",
1402 "type": "INT",
1403 "localized_name": "value"
1404 }
1405 ],
1406 "flags": [],
1407 "id": 26,
1408 "type": "easy int",
1409 "properties": {
1410 "note": "短视频保护用常量。长视频会走自动计算出来的循环次数。",
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1412 "value": true
1413 },
1414 "Node name for S&R": "常量：最小循环 1 次"
1415 },
1416 "order": 9
1417 },
1418 {
1419 "mode": 0,
1420 "outputs": [
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1422 "name": "boolean",
1423 "links": [
1424 25
1425 ],
1426 "label": "boolean",
1427 "type": "BOOLEAN",
1428 "localized_name": "boolean"
1429 }
1430 ],
1431 "size": [
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1434 ],
1435 "pos": [
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1437 2000
1438 ],
1439 "widgets_values": [
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1441 ],
1442 "inputs": [
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1444 "name": "a",
1445 "link": 23,
1446 "label": "a",
1447 "type": "*",
1448 "localized_name": "a"
1449 },
1450 {
1451 "name": "b",
1452 "link": 24,
1453 "label": "b",
1454 "type": "*",
1455 "localized_name": "b"
1456 },
1457 {
1458 "widget": {
1459 "name": "comparison"
1460 },
1461 "name": "comparison",
1462 "label": "comparison",
1463 "type": "COMBO",
1464 "localized_name": "comparison"
1465 }
1466 ],
1467 "flags": [],
1468 "id": 27,
1469 "type": "easy compare",
1470 "properties": {
1471 "note": "如果计算出来的 N 小于 1，就强制至少循环 1 次，避免 For Loop 输入为 0。",
1472 "widget_ue_connectable": {
1473 "comparison": true
1474 },
1475 "Node name for S&R": "循环次数保护：是否小于 1"
1476 },
1477 "order": 35
1478 },
1479 {
1480 "mode": 0,
1481 "outputs": [
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1483 "name": "*",
1484 "links": [
1485 48
1486 ],
1487 "label": "*",
1488 "type": "*",
1489 "localized_name": "*"
1490 }
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1494 120
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1500 "widgets_values": [
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1503 "inputs": [
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1505 "name": "on_true",
1506 "link": 26,
1507 "label": "on_true",
1508 "type": "*",
1509 "localized_name": "on_true"
1510 },
1511 {
1512 "name": "on_false",
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1514 "label": "on_false",
1515 "type": "*",
1516 "localized_name": "on_false"
1517 },
1518 {
1519 "widget": {
1520 "name": "boolean"
1521 },
1522 "name": "boolean",
1523 "link": 25,
1524 "label": "boolean",
1525 "type": "BOOLEAN",
1526 "localized_name": "boolean"
1527 }
1528 ],
1529 "flags": [],
1530 "id": 28,
1531 "type": "easy ifElse",
1532 "title": "最终循环次数 N",
1533 "properties": {
1534 "note": "输出给 For Loop Start 的 total：N = max(1, ceil((F - 65) / 76))。",
1535 "widget_ue_connectable": {
1536 "boolean": true
1537 },
1538 "Node name for S&R": "最终循环次数 N"
1539 },
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1541 },
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1545 "name": "positive",
1546 "links": [
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1549 "label": "positive",
1550 "type": "CONDITIONING",
1551 "localized_name": "positive"
1552 },
1553 {
1554 "name": "negative",
1555 "links": [
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1558 "label": "negative",
1559 "type": "CONDITIONING",
1560 "localized_name": "negative"
1561 },
1562 {
1563 "name": "latent",
1564 "links": [
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1566 ],
1567 "label": "latent",
1568 "type": "LATENT",
1569 "localized_name": "latent"
1570 },
1571 {
1572 "name": "video_frame_offset",
1573 "links": [
1574 50
1575 ],
1576 "label": "video_frame_offset",
1577 "type": "INT",
1578 "localized_name": "video_frame_offset"
1579 }
1580 ],
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1582 "widgets_values": [
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1584 896,
1585 65,
1586 1,
1587 1,
1588 0,
1589 1,
1590 0,
1591 5,
1592 true
1593 ],
1594 "inputs": [
1595 {
1596 "name": "positive",
1597 "link": 29,
1598 "label": "positive",
1599 "type": "CONDITIONING",
1600 "localized_name": "positive"
1601 },
1602 {
1603 "name": "negative",
1604 "link": 30,
1605 "label": "negative",
1606 "type": "CONDITIONING",
1607 "localized_name": "negative"
1608 },
1609 {
1610 "name": "vae",
1611 "link": 31,
1612 "label": "vae",
1613 "type": "VAE",
1614 "localized_name": "vae"
1615 },
1616 {
1617 "shape": 7,
1618 "name": "pose_video",
1619 "link": 32,
1620 "label": "pose_video",
1621 "type": "IMAGE",
1622 "localized_name": "pose_video"
1623 },
1624 {
1625 "shape": 7,
1626 "name": "pose_video_mask",
1627 "link": 34,
1628 "label": "pose_video_mask",
1629 "type": "IMAGE",
1630 "localized_name": "pose_video_mask"
1631 },
1632 {
1633 "shape": 7,
1634 "name": "reference_image",
1635 "link": 106,
1636 "label": "reference_image",
1637 "type": "IMAGE",
1638 "localized_name": "reference_image"
1639 },
1640 {
1641 "shape": 7,
1642 "name": "reference_image_mask",
1643 "link": 35,
1644 "label": "reference_image_mask",
1645 "type": "IMAGE",
1646 "localized_name": "reference_image_mask"
1647 },
1648 {
1649 "shape": 7,
1650 "name": "clip_vision_output",
1651 "link": 36,
1652 "label": "clip_vision_output",
1653 "type": "CLIP_VISION_OUTPUT",
1654 "localized_name": "clip_vision_output"
1655 },
1656 {
1657 "shape": 7,
1658 "name": "previous_frames",
1659 "label": "previous_frames",
1660 "type": "IMAGE",
1661 "localized_name": "previous_frames"
1662 },
1663 {
1664 "widget": {
1665 "name": "width"
1666 },
1667 "name": "width",
1668 "link": 37,
1669 "label": "width",
1670 "type": "INT",
1671 "localized_name": "width"
1672 },
1673 {
1674 "widget": {
1675 "name": "height"
1676 },
1677 "name": "height",
1678 "link": 38,
1679 "label": "height",
1680 "type": "INT",
1681 "localized_name": "height"
1682 },
1683 {
1684 "widget": {
1685 "name": "length"
1686 },
1687 "name": "length",
1688 "label": "length",
1689 "type": "INT",
1690 "localized_name": "length"
1691 },
1692 {
1693 "widget": {
1694 "name": "batch_size"
1695 },
1696 "name": "batch_size",
1697 "label": "batch_size",
1698 "type": "INT",
1699 "localized_name": "batch_size"
1700 },
1701 {
1702 "widget": {
1703 "name": "pose_strength"
1704 },
1705 "name": "pose_strength",
1706 "label": "pose_strength",
1707 "type": "FLOAT",
1708 "localized_name": "pose_strength"
1709 },
1710 {
1711 "widget": {
1712 "name": "pose_start"
1713 },
1714 "name": "pose_start",
1715 "label": "pose_start",
1716 "type": "FLOAT",
1717 "localized_name": "pose_start"
1718 },
1719 {
1720 "widget": {
1721 "name": "pose_end"
1722 },
1723 "name": "pose_end",
1724 "label": "pose_end",
1725 "type": "FLOAT",
1726 "localized_name": "pose_end"
1727 },
1728 {
1729 "widget": {
1730 "name": "video_frame_offset"
1731 },
1732 "name": "video_frame_offset",
1733 "label": "video_frame_offset",
1734 "type": "INT",
1735 "localized_name": "video_frame_offset"
1736 },
1737 {
1738 "widget": {
1739 "name": "previous_frame_count"
1740 },
1741 "name": "previous_frame_count",
1742 "label": "previous_frame_count",
1743 "type": "INT",
1744 "localized_name": "previous_frame_count"
1745 },
1746 {
1747 "widget": {
1748 "name": "replacement_mode"
1749 },
1750 "shape": 7,
1751 "name": "replacement_mode",
1752 "link": 39,
1753 "label": "replacement_mode",
1754 "type": "BOOLEAN",
1755 "localized_name": "replacement_mode"
1756 }
1757 ],
1758 "flags": [],
1759 "type": "WanSCAILToVideo",
1760 "title": "首段生成：建立角色关系",
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1772 "properties": {
1773 "note": "首段生成：用一张单人参考图，只替换双人或多人驱动视频中的一个目标人物。 首段负责建立 reference、pose_video、mask 与文本条件之间的关系。",
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1842 "label": "sampler",
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1848 "link": 44,
1849 "label": "sigmas",
1850 "type": "SIGMAS",
1851 "localized_name": "sigmas"
1852 },
1853 {
1854 "name": "latent_image",
1855 "link": 45,
1856 "label": "latent_image",
1857 "type": "LATENT",
1858 "localized_name": "latent_image"
1859 },
1860 {
1861 "widget": {
1862 "name": "add_noise"
1863 },
1864 "name": "add_noise",
1865 "label": "add_noise",
1866 "type": "BOOLEAN",
1867 "localized_name": "add_noise"
1868 },
1869 {
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1872 },
1873 "name": "noise_seed",
1874 "label": "noise_seed",
1875 "type": "INT",
1876 "localized_name": "noise_seed"
1877 },
1878 {
1879 "widget": {
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1881 },
1882 "name": "cfg",
1883 "label": "cfg",
1884 "type": "FLOAT",
1885 "localized_name": "cfg"
1886 }
1887 ],
1888 "flags": [],
1889 "id": 31,
1890 "type": "SamplerCustom",
1891 "properties": {
1892 "note": "执行第 01 段采样，seed 作为开放参数保留在采样节点上。",
1893 "widget_ue_connectable": [],
1894 "Node name for S&R": "Sample Segment 01"
1895 },
1896 "order": 45
1897 },
1898 {
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1907 "label": "IMAGE",
1908 "type": "IMAGE",
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1912 "color": "#322",
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1918 "label": "samples",
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1920 "localized_name": "samples"
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1927 "localized_name": "vae"
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1930 "flags": {
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1940 "pos": [
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1942 930
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1944 "id": 32,
1945 "properties": {
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1947 "widget_ue_connectable": [],
1948 "Node name for S&R": "Decode Segment 01"
1949 },
1950 "order": 46
1951 },
1952 {
1953 "outputs": [
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1956 "name": "flow",
1957 "links": [
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1959 ],
1960 "label": "flow",
1961 "type": "FLOW_CONTROL",
1962 "localized_name": "flow"
1963 },
1964 {
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1966 "links": [],
1967 "label": "index",
1968 "type": "INT",
1969 "localized_name": "index"
1970 },
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1973 "links": [
1974 60,
1975 73
1976 ],
1977 "label": "value1",
1978 "type": "*",
1979 "localized_name": "value1"
1980 },
1981 {
1982 "name": "value2",
1983 "links": [
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1985 ],
1986 "label": "value2",
1987 "type": "*"
1988 },
1989 {
1990 "name": "value3",
1991 "links": [
1992 76
1993 ],
1994 "label": "value3",
1995 "type": "*"
1996 },
1997 {
1998 "name": "value4",
1999 "label": "value4",
2000 "type": "*"
2001 },
2002 {
2003 "name": "value5",
2004 "label": "value5",
2005 "type": "*"
2006 },
2007 {
2008 "name": "value6",
2009 "label": "value6",
2010 "type": "*"
2011 }
2012 ],
2013 "color": "#223",
2014 "widgets_values": [
2015 4
2016 ],
2017 "inputs": [
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2020 "name": "initial_value1",
2021 "link": 49,
2022 "label": "initial_value1",
2023 "type": "*",
2024 "localized_name": "initial_value1"
2025 },
2026 {
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2029 },
2030 "name": "total",
2031 "link": 48,
2032 "label": "total",
2033 "type": "INT",
2034 "localized_name": "total"
2035 },
2036 {
2037 "name": "initial_value2",
2038 "link": 50,
2039 "label": "initial_value2",
2040 "type": "*"
2041 },
2042 {
2043 "name": "initial_value3",
2044 "link": 51,
2045 "label": "initial_value3",
2046 "type": "*"
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2048 {
2049 "name": "initial_value4",
2050 "label": "initial_value4",
2051 "type": "*"
2052 },
2053 {
2054 "name": "initial_value5",
2055 "label": "initial_value5",
2056 "type": "*"
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2060 "label": "initial_value6",
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2062 }
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2076 "id": 33,
2077 "properties": {
2078 "note": "循环入口：total 由左侧“最终循环次数 N”自动输入。N = max(1, ceil((驱动视频帧数 - 65) / 76))。value1=上一段图像，value2=video_frame_offset，value3=累计视频帧。",
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2080 "total": true
2081 },
2082 "Node name for S&R": "循环入口 For Loop Start"
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2111 "label": "latent",
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2114 },
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2120 "label": "video_frame_offset",
2121 "type": "INT",
2122 "localized_name": "video_frame_offset"
2123 }
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2156 "label": "vae",
2157 "type": "VAE",
2158 "localized_name": "vae"
2159 },
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2164 "label": "pose_video",
2165 "type": "IMAGE",
2166 "localized_name": "pose_video"
2167 },
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2170 "name": "pose_video_mask",
2171 "link": 57,
2172 "label": "pose_video_mask",
2173 "type": "IMAGE",
2174 "localized_name": "pose_video_mask"
2175 },
2176 {
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2178 "name": "reference_image",
2179 "link": 107,
2180 "label": "reference_image",
2181 "type": "IMAGE",
2182 "localized_name": "reference_image"
2183 },
2184 {
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2186 "name": "reference_image_mask",
2187 "link": 58,
2188 "label": "reference_image_mask",
2189 "type": "IMAGE",
2190 "localized_name": "reference_image_mask"
2191 },
2192 {
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2194 "name": "clip_vision_output",
2195 "link": 59,
2196 "label": "clip_vision_output",
2197 "type": "CLIP_VISION_OUTPUT",
2198 "localized_name": "clip_vision_output"
2199 },
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2202 "name": "previous_frames",
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2204 "label": "previous_frames",
2205 "type": "IMAGE",
2206 "localized_name": "previous_frames"
2207 },
2208 {
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2211 },
2212 "name": "width",
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2214 "label": "width",
2215 "type": "INT",
2216 "localized_name": "width"
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2221 },
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2224 "label": "height",
2225 "type": "INT",
2226 "localized_name": "height"
2227 },
2228 {
2229 "widget": {
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2231 },
2232 "name": "length",
2233 "label": "length",
2234 "type": "INT",
2235 "localized_name": "length"
2236 },
2237 {
2238 "widget": {
2239 "name": "batch_size"
2240 },
2241 "name": "batch_size",
2242 "label": "batch_size",
2243 "type": "INT",
2244 "localized_name": "batch_size"
2245 },
2246 {
2247 "widget": {
2248 "name": "pose_strength"
2249 },
2250 "name": "pose_strength",
2251 "label": "pose_strength",
2252 "type": "FLOAT",
2253 "localized_name": "pose_strength"
2254 },
2255 {
2256 "widget": {
2257 "name": "pose_start"
2258 },
2259 "name": "pose_start",
2260 "label": "pose_start",
2261 "type": "FLOAT",
2262 "localized_name": "pose_start"
2263 },
2264 {
2265 "widget": {
2266 "name": "pose_end"
2267 },
2268 "name": "pose_end",
2269 "label": "pose_end",
2270 "type": "FLOAT",
2271 "localized_name": "pose_end"
2272 },
2273 {
2274 "widget": {
2275 "name": "video_frame_offset"
2276 },
2277 "name": "video_frame_offset",
2278 "link": 63,
2279 "label": "video_frame_offset",
2280 "type": "INT",
2281 "localized_name": "video_frame_offset"
2282 },
2283 {
2284 "widget": {
2285 "name": "previous_frame_count"
2286 },
2287 "name": "previous_frame_count",
2288 "label": "previous_frame_count",
2289 "type": "INT",
2290 "localized_name": "previous_frame_count"
2291 },
2292 {
2293 "widget": {
2294 "name": "replacement_mode"
2295 },
2296 "shape": 7,
2297 "name": "replacement_mode",
2298 "link": 108,
2299 "label": "replacement_mode",
2300 "type": "BOOLEAN",
2301 "localized_name": "replacement_mode"
2302 }
2303 ],
2304 "flags": [],
2305 "type": "WanSCAILToVideo",
2306 "title": "循环体：续写当前段",
2307 "mode": 0,
2308 "bgcolor": "#593930",
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2311 566.328125
2312 ],
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2316 ],
2317 "id": 34,
2318 "properties": {
2319 "note": "循环体续写段：用一张单人参考图，只替换双人或多人驱动视频中的一个目标人物。 每一轮使用上一轮 decoded frames 和 video_frame_offset 接续动作。\n循环体已补上 replacement_mode 开关输入，与首段共用同一个开关节点。这样首段和循环续写段的替换模式一致。",
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2321 "replacement_mode": true,
2322 "width": true,
2323 "video_frame_offset": true,
2324 "height": true
2325 },
2326 "Node name for S&R": "循环体：续写当前段"
2327 },
2328 "order": 49
2329 },
2330 {
2331 "mode": 0,
2332 "outputs": [
2333 {
2334 "name": "output",
2335 "links": [],
2336 "label": "output",
2337 "type": "LATENT",
2338 "localized_name": "output"
2339 },
2340 {
2341 "name": "denoised_output",
2342 "links": [
2343 70
2344 ],
2345 "label": "denoised_output",
2346 "type": "LATENT",
2347 "localized_name": "denoised_output"
2348 }
2349 ],
2350 "size": [
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2352 667.0980834960938
2353 ],
2354 "pos": [
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2356 180
2357 ],
2358 "widgets_values": [
2359 true,
2360 4,
2361 "increment",
2362 1
2363 ],
2364 "inputs": [
2365 {
2366 "name": "model",
2367 "link": 64,
2368 "label": "model",
2369 "type": "MODEL",
2370 "localized_name": "model"
2371 },
2372 {
2373 "name": "positive",
2374 "link": 65,
2375 "label": "positive",
2376 "type": "CONDITIONING",
2377 "localized_name": "positive"
2378 },
2379 {
2380 "name": "negative",
2381 "link": 66,
2382 "label": "negative",
2383 "type": "CONDITIONING",
2384 "localized_name": "negative"
2385 },
2386 {
2387 "name": "sampler",
2388 "link": 67,
2389 "label": "sampler",
2390 "type": "SAMPLER",
2391 "localized_name": "sampler"
2392 },
2393 {
2394 "name": "sigmas",
2395 "link": 68,
2396 "label": "sigmas",
2397 "type": "SIGMAS",
2398 "localized_name": "sigmas"
2399 },
2400 {
2401 "name": "latent_image",
2402 "link": 69,
2403 "label": "latent_image",
2404 "type": "LATENT",
2405 "localized_name": "latent_image"
2406 },
2407 {
2408 "widget": {
2409 "name": "add_noise"
2410 },
2411 "name": "add_noise",
2412 "label": "add_noise",
2413 "type": "BOOLEAN",
2414 "localized_name": "add_noise"
2415 },
2416 {
2417 "widget": {
2418 "name": "noise_seed"
2419 },
2420 "name": "noise_seed",
2421 "label": "noise_seed",
2422 "type": "INT",
2423 "localized_name": "noise_seed"
2424 },
2425 {
2426 "widget": {
2427 "name": "cfg"
2428 },
2429 "name": "cfg",
2430 "label": "cfg",
2431 "type": "FLOAT",
2432 "localized_name": "cfg"
2433 }
2434 ],
2435 "flags": [],
2436 "id": 35,
2437 "type": "SamplerCustom",
2438 "properties": {
2439 "note": "循环体采样节点。seed 使用 increment，便于每一轮续写时保持连续但不完全重复。",
2440 "widget_ue_connectable": [],
2441 "Node name for S&R": "循环体：采样当前段"
2442 },
2443 "order": 50
2444 },
2445 {
2446 "outputs": [
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2449 "links": [
2450 72,
2451 79
2452 ],
2453 "label": "IMAGE",
2454 "type": "IMAGE",
2455 "localized_name": "IMAGE"
2456 }
2457 ],
2458 "color": "#322",
2459 "widgets_values": [],
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2464 "label": "samples",
2465 "type": "LATENT",
2466 "localized_name": "samples"
2467 },
2468 {
2469 "name": "vae",
2470 "link": 71,
2471 "label": "vae",
2472 "type": "VAE",
2473 "localized_name": "vae"
2474 }
2475 ],
2476 "flags": {
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2478 },
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2480 "mode": 0,
2481 "bgcolor": "#533",
2482 "size": [
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2484 71.328125
2485 ],
2486 "pos": [
2487 4880,
2488 900
2489 ],
2490 "id": 36,
2491 "properties": {
2492 "note": "解码当前循环段。它既是本轮输出，也会作为下一轮 previous_frames。",
2493 "widget_ue_connectable": [],
2494 "Node name for S&R": "循环体：解码当前段"
2495 },
2496 "order": 51
2497 },
2498 {
2499 "mode": 0,
2500 "outputs": [
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2502 "name": "IMAGE",
2503 "links": [
2504 74
2505 ],
2506 "label": "IMAGE",
2507 "type": "IMAGE",
2508 "localized_name": "IMAGE"
2509 },
2510 {
2511 "name": "MASK",
2512 "links": [],
2513 "label": "MASK",
2514 "type": "MASK",
2515 "localized_name": "MASK"
2516 }
2517 ],
2518 "size": [
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2520 161.328125
2521 ],
2522 "pos": [
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2524 900
2525 ],
2526 "widgets_values": [
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2528 4096
2529 ],
2530 "inputs": [
2531 {
2532 "shape": 7,
2533 "name": "images",
2534 "link": 72,
2535 "label": "images",
2536 "type": "IMAGE",
2537 "localized_name": "images"
2538 },
2539 {
2540 "shape": 7,
2541 "name": "masks",
2542 "label": "masks",
2543 "type": "MASK",
2544 "localized_name": "masks"
2545 },
2546 {
2547 "widget": {
2548 "name": "start_index"
2549 },
2550 "name": "start_index",
2551 "label": "start_index",
2552 "type": "INT",
2553 "localized_name": "start_index"
2554 },
2555 {
2556 "widget": {
2557 "name": "num_frames"
2558 },
2559 "name": "num_frames",
2560 "label": "num_frames",
2561 "type": "INT",
2562 "localized_name": "num_frames"
2563 }
2564 ],
2565 "flags": {
2566 "collapsed": true
2567 },
2568 "id": 37,
2569 "type": "GetImageRangeFromBatch",
2570 "properties": {
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2572 "widget_ue_connectable": [],
2573 "Node name for S&R": "循环体：去掉重叠帧"
2574 },
2575 "order": 52
2576 },
2577 {
2578 "mode": 0,
2579 "outputs": [
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2581 "name": "IMAGE",
2582 "links": [
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2584 ],
2585 "label": "IMAGE",
2586 "type": "IMAGE",
2587 "localized_name": "IMAGE"
2588 },
2589 {
2590 "name": "MASK",
2591 "links": [],
2592 "label": "MASK",
2593 "type": "MASK",
2594 "localized_name": "MASK"
2595 }
2596 ],
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2601 "pos": [
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2604 ],
2605 "widgets_values": [
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2607 1
2608 ],
2609 "inputs": [
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2611 "shape": 7,
2612 "name": "images",
2613 "link": 73,
2614 "label": "images",
2615 "type": "IMAGE",
2616 "localized_name": "images"
2617 },
2618 {
2619 "shape": 7,
2620 "name": "masks",
2621 "label": "masks",
2622 "type": "MASK",
2623 "localized_name": "masks"
2624 },
2625 {
2626 "widget": {
2627 "name": "start_index"
2628 },
2629 "name": "start_index",
2630 "label": "start_index",
2631 "type": "INT",
2632 "localized_name": "start_index"
2633 },
2634 {
2635 "widget": {
2636 "name": "num_frames"
2637 },
2638 "name": "num_frames",
2639 "label": "num_frames",
2640 "type": "INT",
2641 "localized_name": "num_frames"
2642 }
2643 ],
2644 "flags": {
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2646 },
2647 "id": 38,
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2690 {
2691 "name": "image_ref",
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2693 "label": "image_ref",
2694 "type": "IMAGE",
2695 "localized_name": "image_ref"
2696 },
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2706 {
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2710 "name": "source_stats",
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2722 "localized_name": "strength"
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2727 "type": "ColorTransfer",
2728 "title": "循环体：颜色匹配",
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2792 "localized_name": "initial_value1"
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2835 "properties": {
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2837 "widget_ue_connectable": [],
2838 "Node name for S&R": "循环出口 For Loop End"
2839 },
2840 "order": 55
2841 },
2842 {
2843 "mode": 0,
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2847 "links": [],
2848 "label": "Filenames",
2849 "type": "VHS_FILENAMES",
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2851 }
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2882 "frame_rate": 24
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2887 "frame_rate": 24,
2888 "pingpong": false
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2904 "localized_name": "audio"
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2909 "label": "meta_batch",
2910 "type": "VHS_BatchManager",
2911 "localized_name": "meta_batch"
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2918 "localized_name": "vae"
2919 },
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2925 "link": 89,
2926 "label": "frame_rate",
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2928 "localized_name": "frame_rate"
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2937 "localized_name": "loop_count"
2938 },
2939 {
2940 "widget": {
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2942 },
2943 "name": "filename_prefix",
2944 "label": "filename_prefix",
2945 "type": "STRING",
2946 "localized_name": "filename_prefix"
2947 },
2948 {
2949 "widget": {
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2952 "name": "format",
2953 "label": "format",
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2955 "localized_name": "format"
2956 },
2957 {
2958 "widget": {
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2960 },
2961 "name": "pingpong",
2962 "label": "pingpong",
2963 "type": "BOOLEAN",
2964 "localized_name": "pingpong"
2965 },
2966 {
2967 "widget": {
2968 "name": "save_output"
2969 },
2970 "name": "save_output",
2971 "label": "save_output",
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2973 "localized_name": "save_output"
2974 },
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2983 "localized_name": "no_preview"
2984 }
2985 ],
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2987 "id": 44,
2988 "type": "VHS_VideoCombine",
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2992 "frame_rate": true
2993 },
2994 "Node name for S&R": "入循环前：首段视频合并预览"
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2997 },
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3003 "links": [
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3006 "label": "masks",
3007 "type": "MASK",
3008 "localized_name": "masks"
3009 }
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3028 "localized_name": "track_data"
3029 },
3030 {
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3033 },
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3037 "localized_name": "object_indices"
3038 }
3039 ],
3040 "flags": [],
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3042 "type": "SAM3_TrackToMask",
3043 "title": "参考主体 mask：只取要替换的人物",
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3048 },
3049 "Node name for S&R": "参考主体 mask：只取要替换的人物"
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3052 },
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3055 "outputs": [
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3057 "name": "IMAGE",
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3060 ],
3061 "label": "IMAGE",
3062 "type": "IMAGE",
3063 "localized_name": "IMAGE"
3064 }
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3068 130
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3072 1180
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3078 0
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3085 "name": "width",
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3087 "label": "width",
3088 "type": "INT",
3089 "localized_name": "width"
3090 },
3091 {
3092 "widget": {
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3094 },
3095 "name": "height",
3096 "link": 101,
3097 "label": "height",
3098 "type": "INT",
3099 "localized_name": "height"
3100 },
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3105 "name": "batch_size",
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3108 "localized_name": "batch_size"
3109 },
3110 {
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3113 },
3114 "name": "color",
3115 "label": "color",
3116 "type": "INT",
3117 "localized_name": "color"
3118 }
3119 ],
3120 "flags": [],
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3122 "type": "EmptyImage",
3123 "properties": {
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3127 "color": true,
3128 "width": true,
3129 "height": true
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3176 "localized_name": "source"
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3182 "label": "mask",
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3184 "localized_name": "mask"
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3190 "name": "x",
3191 "label": "x",
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3193 "localized_name": "x"
3194 },
3195 {
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3200 "label": "y",
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3202 "localized_name": "y"
3203 },
3204 {
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3207 },
3208 "name": "resize_source",
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3211 "localized_name": "resize_source"
3212 }
3213 ],
3214 "flags": [],
3215 "id": 52,
3216 "type": "ImageCompositeMasked",
3217 "properties": {
3218 "note": "把已经 512x896 对齐后的参考图按 mask 贴到黑底，输出给 CLIPVisionEncode 和所有 WanSCAILToVideo.reference_image。",
3219 "widget_ue_connectable": {
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3221 "resize_source": true,
3222 "y": true
3223 },
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