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工作流 / 视频 / Wan Animate 2 蒸馏版：动作迁移
Wan Animate 2 蒸馏版：动作迁移

Wan Animate 2 蒸馏版：动作迁移

Wan Animate 2 Distilled: Motion Transfer

使用Wan万相Animate 2，通过驱动视频为静态角色制作动画，直接从视频帧转移动作，无需任何姿态提取或骨骼预处理。输出在保留参考角色身份的同时，根据您的文本提示词生成全新的背景和相机运动。此精简版本提供高效、高保真的动作生成，具有强大的身份保留能力，非常适合动作转移、动作模仿和角色动画替换项目。

视频 19 个节点 2 个输入 132 次使用 ComfyUI ≥ 0.31.0 ComfyUI 210 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 5 个权重文件，其中 5 个能在本站模型库里找到。

Wan2_1_VAE_bf16.safetensors 在模型库查看
clip_vision_h.safetensors 在模型库查看
umt5_xxl_fp8_e4m3fn_scaled.safetensors 在模型库查看
wan_animate_2_distill_int8_convrot.safetensors 在模型库查看
wan_animate_2_int8_convrot.safetensors 在模型库查看

节点构成

MarkdownNote × 4
SaveVideo × 2
PrimitiveStringMultiline × 2
11706f8a-428d-4ef9-b24f-863f651c1b0b × 1
BatchImagesNode × 1
CreateVideo × 1
LoadImage × 1
LoadVideo × 1
GetVideoComponents × 1
79280513-53b2-4417-93f8-f3e116bb6736 × 1
ComfyMathExpression × 1
GetImageSize × 1
PreviewAny × 1
7aac4913-f6e2-463e-9ca4-7f9f18363819 × 1

官方标注的模型

Wan Animate

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "d65b83fa-9f1b-438f-837d-e0f75faa3161",
3 "revision": 0,
4 "last_node_id": 605,
5 "last_link_id": 873,
6 "nodes": [
7 {
8 "id": 261,
9 "type": "11706f8a-428d-4ef9-b24f-863f651c1b0b",
10 "pos": [
11 1350,
12 3660
13 ],
14 "size": [
15 500,
16 860
17 ],
18 "flags": [],
19 "order": 9,
20 "mode": 0,
21 "inputs": [
22 {
23 "label": "reference Image",
24 "name": "input",
25 "type": "IMAGE,MASK",
26 "link": 703
27 },
28 {
29 "label": "pose_video",
30 "name": "video",
31 "type": "VIDEO",
32 "link": 704
33 },
34 {
35 "name": "continue_motion",
36 "shape": 7,
37 "type": "IMAGE",
38 "link": null
39 },
40 {
41 "label": "video_frame_offset",
42 "name": "video_frame_offset_1",
43 "type": "INT",
44 "widget": {
45 "name": "video_frame_offset_1"
46 },
47 "link": null
48 },
49 {
50 "label": "prompt",
51 "name": "text",
52 "type": "STRING",
53 "widget": {
54 "name": "text"
55 },
56 "link": 872
57 },
58 {
59 "label": "reference_image_strength",
60 "name": "reference_image_strength_1",
61 "type": "FLOAT",
62 "widget": {
63 "name": "reference_image_strength_1"
64 },
65 "link": null
66 },
67 {
68 "label": "pose_prompt",
69 "name": "text_4",
70 "type": "STRING",
71 "widget": {
72 "name": "text_4"
73 },
74 "link": 870
75 },
76 {
77 "label": "pose_strength",
78 "name": "pose_strength_1",
79 "type": "FLOAT",
80 "widget": {
81 "name": "pose_strength_1"
82 },
83 "link": null
84 },
85 {
86 "label": "pose_start_percent",
87 "name": "pose_start_percent_1",
88 "type": "FLOAT",
89 "widget": {
90 "name": "pose_start_percent_1"
91 },
92 "link": null
93 },
94 {
95 "label": "pose_end_percent",
96 "name": "pose_end_percent_1",
97 "type": "FLOAT",
98 "widget": {
99 "name": "pose_end_percent_1"
100 },
101 "link": null
102 },
103 {
104 "label": "enable_context_window",
105 "name": "switch_1",
106 "type": "BOOLEAN",
107 "widget": {
108 "name": "switch_1"
109 },
110 "link": null
111 },
112 {
113 "label": "cache_device",
114 "name": "device_1",
115 "type": "COMBO",
116 "widget": {
117 "name": "device_1"
118 },
119 "link": null
120 },
121 {
122 "label": "cache_dtype",
123 "name": "dtype_1",
124 "type": "COMBO",
125 "widget": {
126 "name": "dtype_1"
127 },
128 "link": null
129 },
130 {
131 "label": "trim_duplicated_frame",
132 "name": "value_1",
133 "type": "BOOLEAN",
134 "widget": {
135 "name": "value_1"
136 },
137 "link": null
138 },
139 {
140 "label": "width",
141 "name": "resize_type.width",
142 "type": "INT",
143 "widget": {
144 "name": "resize_type.width"
145 },
146 "link": null
147 },
148 {
149 "label": "height",
150 "name": "resize_type.height_1",
151 "type": "INT",
152 "widget": {
153 "name": "resize_type.height_1"
154 },
155 "link": null
156 },
157 {
158 "label": "unet",
159 "name": "unet_name_1",
160 "type": "COMBO",
161 "widget": {
162 "name": "unet_name_1"
163 },
164 "link": null
165 },
166 {
167 "label": "clip",
168 "name": "clip_name_2",
169 "type": "COMBO",
170 "widget": {
171 "name": "clip_name_2"
172 },
173 "link": null
174 },
175 {
176 "label": "clip_vision",
177 "name": "clip_name_3",
178 "type": "COMBO",
179 "widget": {
180 "name": "clip_name_3"
181 },
182 "link": null
183 },
184 {
185 "label": "vae",
186 "name": "vae_name_1",
187 "type": "COMBO",
188 "widget": {
189 "name": "vae_name_1"
190 },
191 "link": null
192 }
193 ],
194 "outputs": [
195 {
196 "label": "continue_motion",
197 "name": "IMAGE",
198 "type": "IMAGE",
199 "links": [
200 868
201 ]
202 },
203 {
204 "name": "video_frame_offset",
205 "type": "INT",
206 "links": [
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208 ]
209 },
210 {
211 "label": "image",
212 "name": "output",
213 "type": "IMAGE",
214 "links": [
215 841
216 ]
217 }
218 ],
219 "properties": {
220 "cnr_id": "comfy-core",
221 "ver": "0.33.0",
222 "previewExposures": []
223 },
224 "widgets_values": [
225 0,
226 "Character appearance description: A stylish designer toy figure of a male street dancer, collectible vinyl art toy, vibrant red hoodie with white graffiti print, neon yellow cargo pants, black-and-white sneakers, oversized glossy head with messy blue hair and cool sunglasses, gold chain necklace.\nBackground description: rainy neon-lit city street corner at night, wet asphalt reflecting purple-blue and red neon signs, light mist, cinematic night photography.",
227 1,
228 "A man doing energetic street dance with popping body waves and fast spinning moves, rain falling around him.",
229 1,
230 0,
231 1,
232 false,
233 "gpu",
234 "int8",
235 false,
236 482,
237 854,
238 714297762067883,
239 81,
240 "wan_animate_2_distill_int8_convrot.safetensors",
241 "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
242 "clip_vision_h.safetensors",
243 "Wan2_1_VAE_bf16.safetensors"
244 ],
245 "widgets_values_named": {
246 "video_frame_offset_1": 0,
247 "text": "Character appearance description: A stylish designer toy figure of a male street dancer, collectible vinyl art toy, vibrant red hoodie with white graffiti print, neon yellow cargo pants, black-and-white sneakers, oversized glossy head with messy blue hair and cool sunglasses, gold chain necklace.\nBackground description: rainy neon-lit city street corner at night, wet asphalt reflecting purple-blue and red neon signs, light mist, cinematic night photography.",
248 "reference_image_strength_1": 1,
249 "text_4": "A man doing energetic street dance with popping body waves and fast spinning moves, rain falling around him.",
250 "pose_strength_1": 1,
251 "pose_start_percent_1": 0,
252 "pose_end_percent_1": 1,
253 "switch_1": false,
254 "device_1": "gpu",
255 "dtype_1": "int8",
256 "value_1": false,
257 "resize_type.width": 482,
258 "resize_type.height_1": 854,
259 "noise_seed": 714297762067883,
260 "length": 81,
261 "unet_name_1": "wan_animate_2_distill_int8_convrot.safetensors",
262 "clip_name_2": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
263 "clip_name_3": "clip_vision_h.safetensors",
264 "vae_name_1": "Wan2_1_VAE_bf16.safetensors"
265 }
266 },
267 {
268 "id": 289,
269 "type": "BatchImagesNode",
270 "pos": [
271 4150,
272 3660
273 ],
274 "size": [
275 230,
276 70
277 ],
278 "flags": [],
279 "order": 12,
280 "mode": 0,
281 "inputs": [
282 {
283 "label": "image0",
284 "name": "images.image0",
285 "type": "IMAGE",
286 "link": 841
287 },
288 {
289 "label": "image1",
290 "name": "images.image1",
291 "shape": 7,
292 "type": "IMAGE",
293 "link": null
294 }
295 ],
296 "outputs": [
297 {
298 "name": "IMAGE",
299 "type": "IMAGE",
300 "links": [
301 733
302 ]
303 }
304 ],
305 "properties": {
306 "cnr_id": "comfy-core",
307 "ver": "0.33.0",
308 "Node name for S&R": "BatchImagesNode"
309 }
310 },
311 {
312 "id": 245,
313 "type": "CreateVideo",
314 "pos": [
315 4150,
316 3840
317 ],
318 "size": [
319 270,
320 110
321 ],
322 "flags": [],
323 "order": 14,
324 "mode": 0,
325 "inputs": [
326 {
327 "name": "images",
328 "type": "IMAGE",
329 "link": 733
330 },
331 {
332 "name": "audio",
333 "shape": 7,
334 "type": "AUDIO",
335 "link": 729
336 },
337 {
338 "name": "fps",
339 "type": "FLOAT",
340 "widget": {
341 "name": "fps"
342 },
343 "link": 730
344 }
345 ],
346 "outputs": [
347 {
348 "name": "VIDEO",
349 "type": "VIDEO",
350 "links": [
351 667
352 ]
353 }
354 ],
355 "properties": {
356 "cnr_id": "comfy-core",
357 "ver": "0.33.0",
358 "Node name for S&R": "CreateVideo"
359 },
360 "widgets_values": [
361 30,
362 8
363 ],
364 "widgets_values_named": {
365 "fps": 30,
366 "bit_depth": 8
367 }
368 },
369 {
370 "id": 189,
371 "type": "LoadImage",
372 "pos": [
373 -680,
374 3660
375 ],
376 "size": [
377 500,
378 860
379 ],
380 "flags": [],
381 "order": 0,
382 "mode": 0,
383 "inputs": [],
384 "outputs": [
385 {
386 "name": "IMAGE",
387 "type": "IMAGE",
388 "links": [
389 703,
390 866
391 ]
392 },
393 {
394 "name": "MASK",
395 "type": "MASK",
396 "links": null
397 }
398 ],
399 "title": "Load Image (Reference Image)",
400 "properties": {
401 "cnr_id": "comfy-core",
402 "ver": "0.33.0",
403 "Node name for S&R": "LoadImage"
404 },
405 "widgets_values": [
406 "ref_doll_realistic.png",
407 "image"
408 ],
409 "widgets_values_named": {
410 "image": "ref_doll_realistic.png",
411 "upload": "image"
412 }
413 },
414 {
415 "id": 240,
416 "type": "LoadVideo",
417 "pos": [
418 260,
419 3660
420 ],
421 "size": [
422 500,
423 860
424 ],
425 "flags": [],
426 "order": 1,
427 "mode": 0,
428 "inputs": [],
429 "outputs": [
430 {
431 "name": "VIDEO",
432 "type": "VIDEO",
433 "links": [
434 704,
435 728,
436 845,
437 867
438 ]
439 }
440 ],
441 "title": "Load Video (Pose Video)",
442 "properties": {
443 "cnr_id": "comfy-core",
444 "ver": "0.33.0",
445 "Node name for S&R": "LoadVideo"
446 },
447 "widgets_values": [
448 "drive_doll_street_dance.mp4",
449 "image"
450 ],
451 "widgets_values_named": {
452 "file": "drive_doll_street_dance.mp4",
453 "upload": "image"
454 }
455 },
456 {
457 "id": 288,
458 "type": "GetVideoComponents",
459 "pos": [
460 260,
461 4590
462 ],
463 "size": [
464 260,
465 100
466 ],
467 "flags": [],
468 "order": 8,
469 "mode": 0,
470 "inputs": [
471 {
472 "name": "video",
473 "type": "VIDEO",
474 "link": 728
475 }
476 ],
477 "outputs": [
478 {
479 "name": "images",
480 "type": "IMAGE",
481 "links": [
482 847
483 ]
484 },
485 {
486 "name": "audio",
487 "type": "AUDIO",
488 "links": [
489 729
490 ]
491 },
492 {
493 "name": "fps",
494 "type": "FLOAT",
495 "links": [
496 730
497 ]
498 },
499 {
500 "name": "bit_depth",
501 "type": "INT",
502 "links": null
503 }
504 ],
505 "properties": {
506 "cnr_id": "comfy-core",
507 "ver": "0.33.0",
508 "Node name for S&R": "GetVideoComponents"
509 }
510 },
511 {
512 "id": 291,
513 "type": "79280513-53b2-4417-93f8-f3e116bb6736",
514 "pos": [
515 5360,
516 3660
517 ],
518 "size": [
519 290,
520 160
521 ],
522 "flags": [],
523 "order": 17,
524 "mode": 0,
525 "inputs": [
526 {
527 "label": "Before Video",
528 "name": "video",
529 "type": "VIDEO",
530 "link": 846
531 },
532 {
533 "label": "After Video",
534 "name": "video_1",
535 "type": "VIDEO",
536 "link": 845
537 }
538 ],
539 "outputs": [
540 {
541 "name": "VIDEO",
542 "type": "VIDEO",
543 "links": [
544 738
545 ]
546 }
547 ],
548 "properties": {
549 "cnr_id": "comfy-core",
550 "ver": "0.13.0",
551 "previewExposures": []
552 },
553 "widgets_values": [
554 "right",
555 true,
556 0,
557 "white"
558 ],
559 "widgets_values_named": {
560 "direction": "right",
561 "match_image_size": true,
562 "spacing_width": 0,
563 "spacing_color": "white"
564 }
565 },
566 {
567 "id": 292,
568 "type": "SaveVideo",
569 "pos": [
570 5900,
571 3660
572 ],
573 "size": [
574 900,
575 730
576 ],
577 "flags": [],
578 "order": 18,
579 "mode": 0,
580 "inputs": [
581 {
582 "name": "video",
583 "type": "VIDEO",
584 "link": 738
585 }
586 ],
587 "outputs": [
588 {
589 "name": "video",
590 "type": "VIDEO",
591 "links": null
592 }
593 ],
594 "properties": {
595 "cnr_id": "comfy-core",
596 "ver": "0.33.0"
597 },
598 "widgets_values": [
599 "video/ComfyUI",
600 "auto",
601 "auto"
602 ],
603 "widgets_values_named": {
604 "filename_prefix": "video/ComfyUI",
605 "format": "auto",
606 "codec": "auto"
607 }
608 },
609 {
610 "id": 246,
611 "type": "SaveVideo",
612 "pos": [
613 4500,
614 3660
615 ],
616 "size": [
617 690,
618 357.890625
619 ],
620 "flags": [],
621 "order": 16,
622 "mode": 0,
623 "inputs": [
624 {
625 "name": "video",
626 "type": "VIDEO",
627 "link": 667
628 }
629 ],
630 "outputs": [
631 {
632 "name": "video",
633 "type": "VIDEO",
634 "links": [
635 846
636 ]
637 }
638 ],
639 "properties": {
640 "cnr_id": "comfy-core",
641 "ver": "0.33.0"
642 },
643 "widgets_values": [
644 "video/ComfyUI",
645 "auto",
646 "auto"
647 ],
648 "widgets_values_named": {
649 "filename_prefix": "video/ComfyUI",
650 "format": "auto",
651 "codec": "auto"
652 }
653 },
654 {
655 "id": 536,
656 "type": "ComfyMathExpression",
657 "pos": [
658 270,
659 4810
660 ],
661 "size": [
662 225,
663 0
664 ],
665 "flags": {
666 "collapsed": true
667 },
668 "order": 13,
669 "mode": 0,
670 "inputs": [
671 {
672 "label": "a",
673 "name": "values.a",
674 "type": "FLOAT,INT,BOOLEAN",
675 "link": 848
676 },
677 {
678 "label": "b",
679 "name": "values.b",
680 "shape": 7,
681 "type": "FLOAT,INT,BOOLEAN",
682 "link": null
683 }
684 ],
685 "outputs": [
686 {
687 "name": "FLOAT",
688 "type": "FLOAT",
689 "links": [
690 852
691 ]
692 },
693 {
694 "name": "INT",
695 "type": "INT",
696 "links": []
697 },
698 {
699 "name": "BOOL",
700 "type": "BOOLEAN",
701 "links": null
702 }
703 ],
704 "properties": {
705 "cnr_id": "comfy-core",
706 "ver": "0.33.0",
707 "Node name for S&R": "ComfyMathExpression"
708 },
709 "widgets_values": [
710 "a / 81"
711 ],
712 "widgets_values_named": {
713 "expression": "a / 81"
714 }
715 },
716 {
717 "id": 537,
718 "type": "GetImageSize",
719 "pos": [
720 270,
721 4750
722 ],
723 "size": [
724 225,
725 0
726 ],
727 "flags": {
728 "collapsed": true
729 },
730 "order": 10,
731 "mode": 0,
732 "inputs": [
733 {
734 "name": "image",
735 "type": "IMAGE",
736 "link": 847
737 }
738 ],
739 "outputs": [
740 {
741 "name": "width",
742 "type": "INT",
743 "links": null
744 },
745 {
746 "name": "height",
747 "type": "INT",
748 "links": null
749 },
750 {
751 "name": "batch_size",
752 "type": "INT",
753 "links": [
754 848
755 ]
756 }
757 ],
758 "properties": {
759 "cnr_id": "comfy-core",
760 "ver": "0.33.0",
761 "Node name for S&R": "GetImageSize"
762 }
763 },
764 {
765 "id": 538,
766 "type": "PreviewAny",
767 "pos": [
768 270,
769 4860
770 ],
771 "size": [
772 230,
773 140
774 ],
775 "flags": [],
776 "order": 15,
777 "mode": 0,
778 "inputs": [
779 {
780 "name": "source",
781 "type": "*",
782 "link": 852
783 }
784 ],
785 "outputs": [
786 {
787 "name": "STRING",
788 "type": "STRING",
789 "links": null
790 }
791 ],
792 "properties": {
793 "cnr_id": "comfy-core",
794 "ver": "0.33.0",
795 "Node name for S&R": "PreviewAny"
796 },
797 "widgets_values": [],
798 "widgets_values_named": []
799 },
800 {
801 "id": 539,
802 "type": "MarkdownNote",
803 "pos": [
804 270,
805 5050
806 ],
807 "size": [
808 230,
809 130
810 ],
811 "flags": [],
812 "order": 2,
813 "mode": 0,
814 "inputs": [],
815 "outputs": [],
816 "title": "Note",
817 "properties": [],
818 "widgets_values": [
819 "[Native loop support PR](https://github.com/Comfy-Org/ComfyUI/pull/13180) is still under review, so you have to manually copy and paste the `Motion Transfer (Wan Animate 2)` subgraph in order to make a longer video, the number here indicates how many subgraphs you need to match the pose reference video length."
820 ],
821 "widgets_values_named": {
822 "text": "[Native loop support PR](https://github.com/Comfy-Org/ComfyUI/pull/13180) is still under review, so you have to manually copy and paste the `Motion Transfer (Wan Animate 2)` subgraph in order to make a longer video, the number here indicates how many subgraphs you need to match the pose reference video length."
823 },
824 "color": "#222",
825 "bgcolor": "#000"
826 },
827 {
828 "id": 540,
829 "type": "MarkdownNote",
830 "pos": [
831 1920,
832 4590
833 ],
834 "size": [
835 480,
836 260
837 ],
838 "flags": [],
839 "order": 3,
840 "mode": 0,
841 "inputs": [],
842 "outputs": [],
843 "title": "Note: How to duplicate the subgraph (manually)",
844 "properties": [],
845 "widgets_values": [
846 "1. Select and press `Ctrl+B` to enable the bypassed subgraph above.\n2. Update it first, and make sure the prompt and size match the first one, linking the `image` output to the `Batch Images` node\n3. Select the `Motion Transfer (Wan Animate 2)` subgraph\n4. Use `Ctrl+C` and `Ctrl+Shift+V` to duplicate the subgraph\n5. Link `continue_motion` and `video_frame_offset` from the previous subgraph to the new subgraph.\n6. Link the `image` output to the `Batch Images` node to extend the total output images"
847 ],
848 "widgets_values_named": {
849 "text": "1. Select and press `Ctrl+B` to enable the bypassed subgraph above.\n2. Update it first, and make sure the prompt and size match the first one, linking the `image` output to the `Batch Images` node\n3. Select the `Motion Transfer (Wan Animate 2)` subgraph\n4. Use `Ctrl+C` and `Ctrl+Shift+V` to duplicate the subgraph\n5. Link `continue_motion` and `video_frame_offset` from the previous subgraph to the new subgraph.\n6. Link the `image` output to the `Batch Images` node to extend the total output images"
850 },
851 "color": "#222",
852 "bgcolor": "#000"
853 },
854 {
855 "id": 574,
856 "type": "MarkdownNote",
857 "pos": [
858 -1380,
859 3660
860 ],
861 "size": [
862 610,
863 1290
864 ],
865 "flags": [],
866 "order": 4,
867 "mode": 0,
868 "inputs": [],
869 "outputs": [],
870 "title": "Note: Wan Animate2",
871 "properties": [],
872 "widgets_values": [
873 "# Wan Animate 2 — Character Animation\n\n## What is this model?\n**Wan-Animate-2** (by Wan-Video / Alibaba) is an **end-to-end character animation model**:\n\n> Reference image (who) + Driving video (what motion) → your character performing that motion\n\nKey properties:\n- **No pose/keypoint extraction** — unlike v1 (Wan 2.2 Animate), the raw driving video frames are used directly. No skeleton/pose preprocessing needed.\n- **Identity preservation** — the output character matches the reference image.\n- **Text-controlled background and camera** — the output background is generated from the prompt, fully decoupled from both the reference image and the driving video.\n\n## How it works (brief)\n\n Reference image ──VAE──▶ ref latent ──┐\n ├──▶ DiT (14B) ──▶ frames ──▶ video\n Driving video ──VAE──▶ pose latent ──┘ pose branch feeds K/V per frame\n ▲\n Text prompt ──▶ text conditioning (character + background)\n\nEach generated frame attends to the reference frame (identity) plus the pose video frame (motion).\n\n## How to use this workflow\n\n1. **LoadImage** — your character image (background doesn't matter; the output background follows the prompt).\n2. **LoadVideo** — the driving video (any resolution; keep the character framing similar to the reference image, e.g. full-body to full-body).\n3. **Set the prompts** on the `Motion Transfer` subgraph:\n - `text_1` (main): `Character appearance description: ...` + `Background description: ...` — describe the LOOKS only, no motion words.\n - `text_2` (pose): describe the motion in the video, e.g. `a person dancing`.\n4. **Queue it** — `SaveVideo` writes the result; the node on the right shows a side-by-side comparison with the driving video.\n\n## Making longer videos (extending)\n\nEach `Motion Transfer` subgraph generates **81 frames** (~3.4 s @ 24 fps). To extend beyond that, chain multiple subgraphs manually:\n\n1. **Duplicate** the `Motion Transfer (Wan Animate 2)` subgraph — select it, press `Ctrl-C` then `Ctrl-Shift-V`.\n2. **Wire the previous subgraph to the new one**:\n - previous `IMAGE` → new `continue_motion` (uses the last frame as a temporal anchor)\n - previous `video_frame_offset` → new `video_frame_offset` (continues reading the driving video where it left off)\n3. **Concatenate the outputs** — connect the new subgraph's `IMAGE` to the `Batch Images` node (its inputs auto-grow with the `+` button).\n4. Consecutive segments overlap by 1 frame by design (that frame keeps the motion continuous). If you see a 1-frame \"hiccup\" at the seam, drop the new segment's first frame (the `trim_image` output = how many frames to remove).\n\n> How many subgraphs do you need? Roughly `driving video frames / 81` — the math node in the bottom-left computes this for you.\n\n**Alternative (future):** the [Native loop support PR](https://github.com/Comfy-Org/ComfyUI/pull/13180) will allow looping/extension without manual duplication. It's still under review — until it lands, manual chaining above is the way. You can also try the community `ComfyUI-NativeLooping_testing` nodes for window-to-window seamless loops.\n\n## Tips\n- Framing mismatch (close-up vs full-body) is the #1 cause of bad results.\n- Frames are taken 1:1 from the video (no fps resampling) — resample to ~16-24 fps if the motion looks too slow.\n- Set `WanAnimate2Cache` device to **cpu** to avoid VRAM spikes."
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876 "text": "# Wan Animate 2 — Character Animation\n\n## What is this model?\n**Wan-Animate-2** (by Wan-Video / Alibaba) is an **end-to-end character animation model**:\n\n> Reference image (who) + Driving video (what motion) → your character performing that motion\n\nKey properties:\n- **No pose/keypoint extraction** — unlike v1 (Wan 2.2 Animate), the raw driving video frames are used directly. No skeleton/pose preprocessing needed.\n- **Identity preservation** — the output character matches the reference image.\n- **Text-controlled background and camera** — the output background is generated from the prompt, fully decoupled from both the reference image and the driving video.\n\n## How it works (brief)\n\n Reference image ──VAE──▶ ref latent ──┐\n ├──▶ DiT (14B) ──▶ frames ──▶ video\n Driving video ──VAE──▶ pose latent ──┘ pose branch feeds K/V per frame\n ▲\n Text prompt ──▶ text conditioning (character + background)\n\nEach generated frame attends to the reference frame (identity) plus the pose video frame (motion).\n\n## How to use this workflow\n\n1. **LoadImage** — your character image (background doesn't matter; the output background follows the prompt).\n2. **LoadVideo** — the driving video (any resolution; keep the character framing similar to the reference image, e.g. full-body to full-body).\n3. **Set the prompts** on the `Motion Transfer` subgraph:\n - `text_1` (main): `Character appearance description: ...` + `Background description: ...` — describe the LOOKS only, no motion words.\n - `text_2` (pose): describe the motion in the video, e.g. `a person dancing`.\n4. **Queue it** — `SaveVideo` writes the result; the node on the right shows a side-by-side comparison with the driving video.\n\n## Making longer videos (extending)\n\nEach `Motion Transfer` subgraph generates **81 frames** (~3.4 s @ 24 fps). To extend beyond that, chain multiple subgraphs manually:\n\n1. **Duplicate** the `Motion Transfer (Wan Animate 2)` subgraph — select it, press `Ctrl-C` then `Ctrl-Shift-V`.\n2. **Wire the previous subgraph to the new one**:\n - previous `IMAGE` → new `continue_motion` (uses the last frame as a temporal anchor)\n - previous `video_frame_offset` → new `video_frame_offset` (continues reading the driving video where it left off)\n3. **Concatenate the outputs** — connect the new subgraph's `IMAGE` to the `Batch Images` node (its inputs auto-grow with the `+` button).\n4. Consecutive segments overlap by 1 frame by design (that frame keeps the motion continuous). If you see a 1-frame \"hiccup\" at the seam, drop the new segment's first frame (the `trim_image` output = how many frames to remove).\n\n> How many subgraphs do you need? Roughly `driving video frames / 81` — the math node in the bottom-left computes this for you.\n\n**Alternative (future):** the [Native loop support PR](https://github.com/Comfy-Org/ComfyUI/pull/13180) will allow looping/extension without manual duplication. It's still under review — until it lands, manual chaining above is the way. You can also try the community `ComfyUI-NativeLooping_testing` nodes for window-to-window seamless loops.\n\n## Tips\n- Framing mismatch (close-up vs full-body) is the #1 cause of bad results.\n- Frames are taken 1:1 from the video (no fps resampling) — resample to ~16-24 fps if the motion looks too slow.\n- Set `WanAnimate2Cache` device to **cpu** to avoid VRAM spikes."
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900 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/Wan-Animate-2](https://huggingface.co/Comfy-Org/Wan-Animate-2)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/Wan-Animate-2](https://www.modelscope.cn/models/Comfy-Org/Wan-Animate-2)\n\n**Input Assets** (download these files and load them to the `load image` and `load video` nodes\n\n- [pink_hair_mech_arms_ref.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/pink_hair_mech_arms_ref.png) — required workflow input (`input/pink_hair_mech_arms_ref.png`)\n- [street_dance_drive.mp4](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/street_dance_drive.mp4) — required workflow input (`input/street_dance_drive.mp4`)\n\n**diffusion_models**\n\n- [wan_animate_2_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/diffusion_models/wan_animate_2_int8_convrot.safetensors) (15.51 GB)\n\n**loras**\n\n- [lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/loras/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors) (703.8 MB)\n\n**text_encoders**\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors) (6.27 GB)\n\n**clip_vision**\n\n- [clip_vision_h.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/clip_vision/clip_vision_h.safetensors) (1.18 GB)\n\n**vae**\n\n- [Wan2_1_VAE_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/vae/Wan2_1_VAE_bf16.safetensors) (242 MB)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── wan_animate_2_int8_convrot.safetensors\n│ ├── 📂 loras/\n│ │ └── lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 clip_vision/\n│ │ └── clip_vision_h.safetensors\n│ └── 📂 vae/\n│ └── Wan2_1_VAE_bf16.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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903 "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/Wan-Animate-2](https://huggingface.co/Comfy-Org/Wan-Animate-2)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/Wan-Animate-2](https://www.modelscope.cn/models/Comfy-Org/Wan-Animate-2)\n\n**Input Assets** (download these files and load them to the `load image` and `load video` nodes\n\n- [pink_hair_mech_arms_ref.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/pink_hair_mech_arms_ref.png) — required workflow input (`input/pink_hair_mech_arms_ref.png`)\n- [street_dance_drive.mp4](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/street_dance_drive.mp4) — required workflow input (`input/street_dance_drive.mp4`)\n\n**diffusion_models**\n\n- [wan_animate_2_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/diffusion_models/wan_animate_2_int8_convrot.safetensors) (15.51 GB)\n\n**loras**\n\n- [lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/loras/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors) (703.8 MB)\n\n**text_encoders**\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors) (6.27 GB)\n\n**clip_vision**\n\n- [clip_vision_h.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/clip_vision/clip_vision_h.safetensors) (1.18 GB)\n\n**vae**\n\n- [Wan2_1_VAE_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/vae/Wan2_1_VAE_bf16.safetensors) (242 MB)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── wan_animate_2_int8_convrot.safetensors\n│ ├── 📂 loras/\n│ │ └── lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 clip_vision/\n│ │ └── clip_vision_h.safetensors\n│ └── 📂 vae/\n│ └── Wan2_1_VAE_bf16.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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