工作流 /
图像 /
MiniMax H3 Ultimate 12GB — T2V/I2V/FFLF/R2V/Multiframe/ControlNet/Extend, one dropdown, with audio
MiniMax H3 Ultimate 12GB — T2V/I2V/FFLF/R2V/Multiframe/ControlNet/Extend, one dropdown, with audio
MiniMax H3 Ultimate 12GB — T2V/I2V/FFLF/R2V/Multiframe/ControlNet/Extend, one dropdown, with audio
☕ One coffee = one happy creator: https://buymeacoffee.com/the_frizzy1Eight of the nine local MiniMax H3 modes in one workflow, picked from one dropdown. Text to video, image to video, last frame, first+last, references,…
图像
12 个节点 11 次使用 The_frizzy1 190 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。
The_frizzy1_minimax-h3-ultimate-12gb_v2.3.0.json
模型库暂未收录
节点构成
LoadImage
× 7
MarkdownNote
× 2
LoadVideo
× 1
SaveVideo
× 1
b034b5b7-22f3-4988-ae4a-5de547c7ae08
× 1
官方标注的模型
minimax_h3_audio_vae_fp32.safetensorsminimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensorsminimax_h3_fl2va_pruned_int8_convrot.safetensorsminimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensorsminimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensorsminimax_h3_ref2va_pruned_int8_convrot.safetensorsminimax_h3_video_vae_int8_convrot.safetensorsqwen3vl_32b_minimax_h3_nvfp4_awq.safetensorsrt_detr_v4-x-hgnet_fp16.safetensorssdpose_wholebody_fp16.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
1{
2 "id": "00000000-0000-0000-0000-000000000000",
3 "revision": 0,
4 "last_node_id": 96,
5 "last_link_id": 357,
6 "nodes": [
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13 ],
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18 "flags": [],
19 "order": 0,
20 "mode": 4,
21 "inputs": [
22 {
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24 "name": "image",
25 "type": "COMBO",
26 "widget": {
27 "name": "image"
28 },
29 "link": null
30 },
31 {
32 "localized_name": "choose file to upload",
33 "name": "upload",
34 "type": "IMAGEUPLOAD",
35 "widget": {
36 "name": "upload"
37 },
38 "link": null
39 }
40 ],
41 "outputs": [
42 {
43 "localized_name": "IMAGE",
44 "name": "IMAGE",
45 "type": "IMAGE",
46 "links": [
47 332
48 ]
49 },
50 {
51 "localized_name": "MASK",
52 "name": "MASK",
53 "type": "MASK",
54 "links": null
55 }
56 ],
57 "title": "First frame",
58 "properties": {
59 "Node name for S&R": "LoadImage"
60 },
61 "widgets_values": [
62 "h3_frame_ref_1.png",
63 "image"
64 ],
65 "widgets_values_named": {
66 "image": "h3_frame_ref_1.png",
67 "upload": "image"
68 }
69 },
70 {
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76 ],
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89 "widget": {
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91 },
92 "link": null
93 },
94 {
95 "localized_name": "choose file to upload",
96 "name": "upload",
97 "type": "IMAGEUPLOAD",
98 "widget": {
99 "name": "upload"
100 },
101 "link": null
102 }
103 ],
104 "outputs": [
105 {
106 "localized_name": "IMAGE",
107 "name": "IMAGE",
108 "type": "IMAGE",
109 "links": [
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111 ]
112 },
113 {
114 "localized_name": "MASK",
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116 "type": "MASK",
117 "links": null
118 }
119 ],
120 "title": "Last frame",
121 "properties": {
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123 },
124 "widgets_values": [
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126 "image"
127 ],
128 "widgets_values_named": {
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130 "upload": "image"
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155 "link": null
156 },
157 {
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159 "name": "upload",
160 "type": "IMAGEUPLOAD",
161 "widget": {
162 "name": "upload"
163 },
164 "link": null
165 }
166 ],
167 "outputs": [
168 {
169 "localized_name": "IMAGE",
170 "name": "IMAGE",
171 "type": "IMAGE",
172 "links": [
173 334
174 ]
175 },
176 {
177 "localized_name": "MASK",
178 "name": "MASK",
179 "type": "MASK",
180 "links": null
181 }
182 ],
183 "title": "Reference 1 (<Picture 1>)",
184 "properties": {
185 "Node name for S&R": "LoadImage"
186 },
187 "widgets_values": [
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189 "image"
190 ],
191 "widgets_values_named": {
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193 "upload": "image"
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195 },
196 {
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214 "type": "COMBO",
215 "widget": {
216 "name": "image"
217 },
218 "link": null
219 },
220 {
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222 "name": "upload",
223 "type": "IMAGEUPLOAD",
224 "widget": {
225 "name": "upload"
226 },
227 "link": null
228 }
229 ],
230 "outputs": [
231 {
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233 "name": "IMAGE",
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235 "links": [
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237 ]
238 },
239 {
240 "localized_name": "MASK",
241 "name": "MASK",
242 "type": "MASK",
243 "links": null
244 }
245 ],
246 "title": "Reference 2 (<Picture 2>)",
247 "properties": {
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249 },
250 "widgets_values": [
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252 "image"
253 ],
254 "widgets_values_named": {
255 "image": "mecha_dragon_lightning.png",
256 "upload": "image"
257 }
258 },
259 {
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270 "flags": [],
271 "order": 4,
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276 "name": "file",
277 "type": "COMBO",
278 "widget": {
279 "name": "file"
280 },
281 "link": null
282 },
283 {
284 "localized_name": "choose file to upload",
285 "name": "upload",
286 "type": "IMAGEUPLOAD",
287 "widget": {
288 "name": "upload"
289 },
290 "link": null
291 }
292 ],
293 "outputs": [
294 {
295 "localized_name": "VIDEO",
296 "name": "VIDEO",
297 "type": "VIDEO",
298 "links": [
299 331
300 ]
301 }
302 ],
303 "title": "Video (ControlNet pose / Extend)",
304 "properties": {
305 "Node name for S&R": "LoadVideo"
306 },
307 "widgets_values": [
308 "dancer_field_pose.mp4",
309 "image"
310 ],
311 "widgets_values_named": {
312 "file": "dancer_field_pose.mp4",
313 "upload": "image"
314 }
315 },
316 {
317 "id": 54,
318 "type": "LoadImage",
319 "pos": [
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322 ],
323 "size": [
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327 "flags": [],
328 "order": 5,
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330 "inputs": [
331 {
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333 "name": "image",
334 "type": "COMBO",
335 "widget": {
336 "name": "image"
337 },
338 "link": null
339 },
340 {
341 "localized_name": "choose file to upload",
342 "name": "upload",
343 "type": "IMAGEUPLOAD",
344 "widget": {
345 "name": "upload"
346 },
347 "link": null
348 }
349 ],
350 "outputs": [
351 {
352 "localized_name": "IMAGE",
353 "name": "IMAGE",
354 "type": "IMAGE",
355 "links": [
356 336
357 ]
358 },
359 {
360 "localized_name": "MASK",
361 "name": "MASK",
362 "type": "MASK",
363 "links": null
364 }
365 ],
366 "title": "Guide frame 1",
367 "properties": {
368 "Node name for S&R": "LoadImage"
369 },
370 "widgets_values": [
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372 "image"
373 ],
374 "widgets_values_named": {
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376 "upload": "image"
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379 {
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397 "type": "COMBO",
398 "widget": {
399 "name": "image"
400 },
401 "link": null
402 },
403 {
404 "localized_name": "choose file to upload",
405 "name": "upload",
406 "type": "IMAGEUPLOAD",
407 "widget": {
408 "name": "upload"
409 },
410 "link": null
411 }
412 ],
413 "outputs": [
414 {
415 "localized_name": "IMAGE",
416 "name": "IMAGE",
417 "type": "IMAGE",
418 "links": [
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420 ]
421 },
422 {
423 "localized_name": "MASK",
424 "name": "MASK",
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426 "links": null
427 }
428 ],
429 "title": "Guide frame 2",
430 "properties": {
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432 },
433 "widgets_values": [
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435 "image"
436 ],
437 "widgets_values_named": {
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439 "upload": "image"
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460 "type": "COMBO",
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462 "name": "image"
463 },
464 "link": null
465 },
466 {
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468 "name": "upload",
469 "type": "IMAGEUPLOAD",
470 "widget": {
471 "name": "upload"
472 },
473 "link": null
474 }
475 ],
476 "outputs": [
477 {
478 "localized_name": "IMAGE",
479 "name": "IMAGE",
480 "type": "IMAGE",
481 "links": [
482 338
483 ]
484 },
485 {
486 "localized_name": "MASK",
487 "name": "MASK",
488 "type": "MASK",
489 "links": null
490 }
491 ],
492 "title": "Guide frame 3",
493 "properties": {
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495 },
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498 "image"
499 ],
500 "widgets_values_named": {
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502 "upload": "image"
503 }
504 },
505 {
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512 "size": [
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515 ],
516 "flags": [],
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518 "mode": 0,
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520 {
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522 "name": "video",
523 "type": "VIDEO",
524 "link": 339
525 },
526 {
527 "localized_name": "filename_prefix",
528 "name": "filename_prefix",
529 "type": "STRING",
530 "widget": {
531 "name": "filename_prefix"
532 },
533 "link": null
534 },
535 {
536 "localized_name": "format",
537 "name": "format",
538 "type": "COMFY_DYNAMICCOMBO_V3",
539 "widget": {
540 "name": "format"
541 },
542 "link": null
543 },
544 {
545 "localized_name": "codec",
546 "name": "format.codec",
547 "type": "COMFY_DYNAMICCOMBO_V3",
548 "widget": {
549 "name": "format.codec"
550 },
551 "link": null
552 },
553 {
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557 "type": "COMFY_DYNAMICCOMBO_V3",
558 "widget": {
559 "name": "codec"
560 },
561 "link": null
562 }
563 ],
564 "outputs": [
565 {
566 "localized_name": "video",
567 "name": "video",
568 "type": "VIDEO",
569 "links": null
570 }
571 ],
572 "title": "Result",
573 "properties": [],
574 "widgets_values": [
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576 "auto",
577 "auto",
578 "auto"
579 ],
580 "widgets_values_named": {
581 "filename_prefix": "video/H3_ultimate",
582 "format": "auto",
583 "format.codec": "auto",
584 "codec": "auto"
585 }
586 },
587 {
588 "id": 94,
589 "type": "b034b5b7-22f3-4988-ae4a-5de547c7ae08",
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594 "size": [
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596 632
597 ],
598 "flags": [],
599 "order": 10,
600 "mode": 0,
601 "inputs": [
602 {
603 "label": "Video (ControlNet pose / Extend)",
604 "localized_name": "on_true",
605 "name": "on_true",
606 "shape": 7,
607 "type": "*",
608 "link": 331
609 },
610 {
611 "label": "First frame",
612 "localized_name": "on_true_1",
613 "name": "on_true_1",
614 "shape": 7,
615 "type": "*",
616 "link": 332
617 },
618 {
619 "label": "Last frame",
620 "localized_name": "on_true_1_1",
621 "name": "on_true_1_1",
622 "shape": 7,
623 "type": "*",
624 "link": 333
625 },
626 {
627 "label": "Reference 1 (<Picture 1>)",
628 "localized_name": "ref_image_0",
629 "name": "ref_images.ref_image_0",
630 "shape": 7,
631 "type": "IMAGE",
632 "link": 334
633 },
634 {
635 "label": "Reference 2 (<Picture 2>)",
636 "localized_name": "ref_image_1",
637 "name": "ref_images.ref_image_1",
638 "shape": 7,
639 "type": "IMAGE",
640 "link": 335
641 },
642 {
643 "label": "Guide frame 1",
644 "localized_name": "image",
645 "name": "image",
646 "shape": 7,
647 "type": "IMAGE",
648 "link": 336
649 },
650 {
651 "label": "Guide frame 2",
652 "localized_name": "image_1",
653 "name": "image_1",
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655 "type": "IMAGE",
656 "link": 337
657 },
658 {
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661 "name": "image_2",
662 "shape": 7,
663 "type": "IMAGE",
664 "link": 338
665 },
666 {
667 "label": "Mode",
668 "name": "mode",
669 "type": "COMBO",
670 "widget": {
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672 },
673 "link": null
674 },
675 {
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677 "name": "prompt",
678 "type": "STRING",
679 "widget": {
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681 },
682 "link": null
683 },
684 {
685 "label": "Length (s)",
686 "name": "seconds",
687 "type": "FLOAT",
688 "widget": {
689 "name": "seconds"
690 },
691 "link": null
692 },
693 {
694 "label": "Aspect ratio",
695 "name": "aspect",
696 "type": "COMBO",
697 "widget": {
698 "name": "aspect"
699 },
700 "link": null
701 },
702 {
703 "label": "Extend: keep the clip's sound",
704 "name": "ext_audio",
705 "type": "BOOLEAN",
706 "widget": {
707 "name": "ext_audio"
708 },
709 "link": null
710 },
711 {
712 "label": "Megapixels (0.4 / 0.9)",
713 "name": "megapixels",
714 "type": "FLOAT",
715 "widget": {
716 "name": "megapixels"
717 },
718 "link": null
719 },
720 {
721 "label": "Turbo (8 / 4 steps)",
722 "name": "turbo",
723 "type": "BOOLEAN",
724 "widget": {
725 "name": "turbo"
726 },
727 "link": null
728 },
729 {
730 "label": "Seed",
731 "name": "seed",
732 "type": "INT",
733 "widget": {
734 "name": "seed"
735 },
736 "link": null
737 },
738 {
739 "label": "Guide 1 at (s)",
740 "name": "g0",
741 "type": "FLOAT",
742 "widget": {
743 "name": "g0"
744 },
745 "link": null
746 },
747 {
748 "label": "Guide 2 at (s)",
749 "name": "g1",
750 "type": "FLOAT",
751 "widget": {
752 "name": "g1"
753 },
754 "link": null
755 },
756 {
757 "label": "Guide 3 at (s)",
758 "name": "g2",
759 "type": "FLOAT",
760 "widget": {
761 "name": "g2"
762 },
763 "link": null
764 },
765 {
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767 "name": "fl_file",
768 "type": "COMBO",
769 "widget": {
770 "name": "fl_file"
771 },
772 "link": null
773 },
774 {
775 "label": "Ref2VA model",
776 "name": "ref_file",
777 "type": "COMBO",
778 "widget": {
779 "name": "ref_file"
780 },
781 "link": null
782 },
783 {
784 "label": "Text encoder (nvfp4 fits 12 GB)",
785 "name": "text_encoder",
786 "type": "COMBO",
787 "widget": {
788 "name": "text_encoder"
789 },
790 "link": null
791 },
792 {
793 "label": "Your LoRA 1",
794 "name": "lora_1",
795 "type": "COMBO",
796 "widget": {
797 "name": "lora_1"
798 },
799 "link": null
800 },
801 {
802 "label": "LoRA 1 strength (0 = off)",
803 "name": "lora_1_strength",
804 "type": "FLOAT",
805 "widget": {
806 "name": "lora_1_strength"
807 },
808 "link": null
809 },
810 {
811 "label": "Your LoRA 2",
812 "name": "lora_2",
813 "type": "COMBO",
814 "widget": {
815 "name": "lora_2"
816 },
817 "link": null
818 },
819 {
820 "label": "LoRA 2 strength (0 = off)",
821 "name": "lora_2_strength",
822 "type": "FLOAT",
823 "widget": {
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825 },
826 "link": null
827 }
828 ],
829 "outputs": [
830 {
831 "label": "Result",
832 "localized_name": "VIDEO",
833 "name": "VIDEO",
834 "type": "VIDEO",
835 "links": [
836 339
837 ]
838 }
839 ],
840 "title": "MiniMax H3 (Ultimate)",
841 "properties": {
842 "models": [
843 {
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845 "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
846 "directory": "diffusion_models"
847 },
848 {
849 "name": "minimax_h3_ref2va_pruned_int8_convrot.safetensors",
850 "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors",
851 "directory": "diffusion_models"
852 },
853 {
854 "name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
855 "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
856 "directory": "text_encoders"
857 },
858 {
859 "name": "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
860 "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
861 "directory": "loras"
862 },
863 {
864 "name": "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
865 "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
866 "directory": "loras"
867 }
868 ],
869 "previewExposures": []
870 },
871 "widgets_values": [
872 "T2V",
873 "A cinematic shot.",
874 5,
875 "16:9 (Widescreen)",
876 true,
877 0.4,
878 true,
879 42,
880 1.5,
881 3,
882 5,
883 "minimax_h3_fl2va_pruned_int8_convrot.safetensors",
884 "minimax_h3_ref2va_pruned_int8_convrot.safetensors",
885 "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
886 "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
887 0,
888 "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
889 0
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891 "widgets_values_named": {
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894 "seconds": 5,
895 "aspect": "16:9 (Widescreen)",
896 "ext_audio": true,
897 "megapixels": 0.4,
898 "turbo": true,
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933 "## How to use - tested on RTX 3060 12 GB\n\n**The inputs start bypassed (purple), so T2V runs right away.** Pick a **Mode**, un-bypass (select + Ctrl+B) only the inputs it uses (table) and load your files. **Keep every input you are not using bypassed**: ComfyUI checks the file of every active loader before a run, also in modes that never read it.\n\nIf the mode needs the First frame, Last frame or Video and it is still bypassed, the run stops at the \"Needs ...\" node instead of quietly making a T2V. References and guide frames are optional: bypassed ones are left out.\n\n| Mode | Uses |\n|---|---|\n| T2V | prompt |\n| I2V (first frame) | First frame |\n| Last frame | Last frame |\n| First + last frame | both |\n| R2V (references) | Reference 1 + 2 (write <Picture 1>, <Picture 2> in the prompt) |\n| Multiframe | reference images + 3 guide frames at the times you set |\n| ControlNet (pose) | Video (pose is read from it) |\n| Extend (continue a clip) | Video: its last 22 frames (~0.9 s) **and their sound** start the new clip, so the join doesn't jump; after that H3 makes the picture and sound for your prompt (switch **Extend: keep the clip's sound** off for a silent clip). The result begins with those frames, so trim ~0.9 s when you join the clips. **Long video:** load the result back in and run Extend again, one clip after another. |\n\n**Character swap** (the 9th H3 mode) needs the Viggle model + its node pack, so I kept it in its own workflow to keep this one core-nodes only: [Viggle-Animate (H3)](https://github.com/Thefrizzy1/The_frizzy1-Workflows/tree/main/workflows/minimax/viggle-animate-h3).\n\n**Turbo** = 8 steps (FL2VA) / 4 steps (Ref2VA) with the turbo LoRAs; off = 20 steps.\n**Your LoRAs**: 2 slots on the node. Strength 0 = off (the file is not even opened). Pick your LoRA file, set a strength; they go on the chosen H3 model, on top of the turbo LoRA.\nSize: 0.4 MP = 864x480 (2-5 min on the 3060), 0.9 MP = 1280x736 (6-13 min). Stay at 0.9 MP or below on 12 GB: 1.5 MP spills out of VRAM and took over 30 min. Needs about 17-22 GB of system RAM (32 GB recommended).\n\nOnly downloaded the T2V/I2V files (~42 GB)? ComfyUI still checks every loader: point the red Ref2VA, LoRA, ControlNet, SDPose and RT-DETR loaders at any file you have. They never load in the FL2VA modes.\n\nDouble-click the node to see every step. **Colours inside the node:** 🟦 load models · 🟩 your input (pose, face, frames) · 🟪 prompt + conditioning · 🟧 sampling · 🟨 decode + video · ⬛ settings + switches · 🟦 cyan = extras (side by side)"
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936 "text": "## How to use - tested on RTX 3060 12 GB\n\n**The inputs start bypassed (purple), so T2V runs right away.** Pick a **Mode**, un-bypass (select + Ctrl+B) only the inputs it uses (table) and load your files. **Keep every input you are not using bypassed**: ComfyUI checks the file of every active loader before a run, also in modes that never read it.\n\nIf the mode needs the First frame, Last frame or Video and it is still bypassed, the run stops at the \"Needs ...\" node instead of quietly making a T2V. References and guide frames are optional: bypassed ones are left out.\n\n| Mode | Uses |\n|---|---|\n| T2V | prompt |\n| I2V (first frame) | First frame |\n| Last frame | Last frame |\n| First + last frame | both |\n| R2V (references) | Reference 1 + 2 (write <Picture 1>, <Picture 2> in the prompt) |\n| Multiframe | reference images + 3 guide frames at the times you set |\n| ControlNet (pose) | Video (pose is read from it) |\n| Extend (continue a clip) | Video: its last 22 frames (~0.9 s) **and their sound** start the new clip, so the join doesn't jump; after that H3 makes the picture and sound for your prompt (switch **Extend: keep the clip's sound** off for a silent clip). The result begins with those frames, so trim ~0.9 s when you join the clips. **Long video:** load the result back in and run Extend again, one clip after another. |\n\n**Character swap** (the 9th H3 mode) needs the Viggle model + its node pack, so I kept it in its own workflow to keep this one core-nodes only: [Viggle-Animate (H3)](https://github.com/Thefrizzy1/The_frizzy1-Workflows/tree/main/workflows/minimax/viggle-animate-h3).\n\n**Turbo** = 8 steps (FL2VA) / 4 steps (Ref2VA) with the turbo LoRAs; off = 20 steps.\n**Your LoRAs**: 2 slots on the node. Strength 0 = off (the file is not even opened). Pick your LoRA file, set a strength; they go on the chosen H3 model, on top of the turbo LoRA.\nSize: 0.4 MP = 864x480 (2-5 min on the 3060), 0.9 MP = 1280x736 (6-13 min). Stay at 0.9 MP or below on 12 GB: 1.5 MP spills out of VRAM and took over 30 min. Needs about 17-22 GB of system RAM (32 GB recommended).\n\nOnly downloaded the T2V/I2V files (~42 GB)? ComfyUI still checks every loader: point the red Ref2VA, LoRA, ControlNet, SDPose and RT-DETR loaders at any file you have. They never load in the FL2VA modes.\n\nDouble-click the node to see every step. **Colours inside the node:** 🟦 load models · 🟩 your input (pose, face, frames) · 🟪 prompt + conditioning · 🟧 sampling · 🟨 decode + video · ⬛ settings + switches · 🟦 cyan = extras (side by side)"
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960 "## Downloads - put each file in the ComfyUI folder shown\n\nClick a file name to download it. Put it in the folder shown (inside `ComfyUI/models/`).\n\n**[Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| 12 GB (tested) | `diffusion_models/` | [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors) | 21.0 GB |\n| 12 GB (tested) | `diffusion_models/` | [minimax_h3_ref2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors) | 21.0 GB |\n| all | `loras/` | [minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors) | 2.0 GB |\n| all | `loras/` | [minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors) | 2.0 GB |\n| all | `text_encoders/` | [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) | 15.7 GB |\n| all | `vae/` | [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) | 2.8 GB |\n| all | `vae/` | [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) | 0.6 GB |\n| ControlNet mode | `model_patches/` | [minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/model_patches/minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors) | 2.3 GB |\n\n**[Comfy-Org/SDPose](https://huggingface.co/Comfy-Org/SDPose)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet mode | `checkpoints/` | [sdpose_wholebody_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/checkpoints/sdpose_wholebody_fp16.safetensors) | 1.9 GB |\n| ControlNet mode | `diffusion_models/` | [rt_detr_v4-x-hgnet_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/diffusion_models/rt_detr_v4-x-hgnet_fp16.safetensors) | 0.1 GB |\n\n_Tested on: RTX 3060 12 GB · 32 GB RAM · ComfyUI 0.37.4._"
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963 "text": "## Downloads - put each file in the ComfyUI folder shown\n\nClick a file name to download it. Put it in the folder shown (inside `ComfyUI/models/`).\n\n**[Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| 12 GB (tested) | `diffusion_models/` | [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors) | 21.0 GB |\n| 12 GB (tested) | `diffusion_models/` | [minimax_h3_ref2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors) | 21.0 GB |\n| all | `loras/` | [minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors) | 2.0 GB |\n| all | `loras/` | [minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors) | 2.0 GB |\n| all | `text_encoders/` | [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) | 15.7 GB |\n| all | `vae/` | [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) | 2.8 GB |\n| all | `vae/` | [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) | 0.6 GB |\n| ControlNet mode | `model_patches/` | [minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/model_patches/minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors) | 2.3 GB |\n\n**[Comfy-Org/SDPose](https://huggingface.co/Comfy-Org/SDPose)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet mode | `checkpoints/` | [sdpose_wholebody_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/checkpoints/sdpose_wholebody_fp16.safetensors) | 1.9 GB |\n| ControlNet mode | `diffusion_models/` | [rt_detr_v4-x-hgnet_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/diffusion_models/rt_detr_v4-x-hgnet_fp16.safetensors) | 0.1 GB |\n\n_Tested on: RTX 3060 12 GB · 32 GB RAM · ComfyUI 0.37.4._"
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