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图像 /
MiniMax H3 Singularity V2 Face Swap 12GB — one photo into your video, lip-sync, sound and room kept
MiniMax H3 Singularity V2 Face Swap 12GB — one photo into your video, lip-sync, sound and room kept
MiniMax H3 Singularity V2 Face Swap 12GB — one photo into your video, lip-sync, sound and room kept
☕ One coffee = one happy creator: https://buymeacoffee.com/the_frizzy1Swap one real person in your video for the person in your photo. The room, the camera and the sound stay. One H3 pass over the whole clip, no seams, a…
图像
89 个节点 10 次使用 The_frizzy1 114 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_h3-singularity-swap-12gb_v1.0.0.json
模型库暂未收录
节点构成
StringConcatenate
× 12
PrimitiveStringMultiline
× 11
ComfyMathExpression
× 9
PrimitiveInt
× 6
ImageFromBatch
× 5
ImageScaleToMaxDimension
× 3
H3PeopleMask
× 3
CLIPLoader
× 2
VAELoader
× 2
CLIPTextEncode
× 2
SAM3_VideoTrack
× 2
ComfySwitchNode
× 2
MarkdownNote
× 2
LoadVideo
× 1
LoadImage
× 1
PrimitiveString
× 1
官方标注的模型
Minimax-h3_Singularity_ref2va_v2_pruned_int8.safetensorsminimax_h3_audio_vae_fp32.safetensorsminimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensorsminimax_h3_video_vae_int8_convrot.safetensorsqwen3vl_32b_minimax_h3_nvfp4_awq.safetensorsqwen3vl_8b_int8_convrot.safetensorssam3.1_multiplex_fp16.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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4745 {
4746 "localized_name": "bit_depth",
4747 "name": "bit_depth",
4748 "shape": 7,
4749 "type": "COMBO",
4750 "widget": {
4751 "name": "bit_depth"
4752 },
4753 "link": null
4754 },
4755 {
4756 "localized_name": "color_space",
4757 "name": "color_space",
4758 "shape": 7,
4759 "type": "COMBO",
4760 "widget": {
4761 "name": "color_space"
4762 },
4763 "link": null
4764 },
4765 {
4766 "localized_name": "codec",
4767 "name": "codec",
4768 "shape": 7,
4769 "type": "COMBO",
4770 "widget": {
4771 "name": "codec"
4772 },
4773 "link": null
4774 }
4775 ],
4776 "outputs": [
4777 {
4778 "localized_name": "VIDEO",
4779 "name": "VIDEO",
4780 "type": "VIDEO",
4781 "links": [
4782 105
4783 ]
4784 }
4785 ],
4786 "title": "Video + original sound",
4787 "properties": {
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4789 },
4790 "widgets_values": [
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4792 "auto",
4793 "sRGB",
4794 "none"
4795 ],
4796 "widgets_values_named": {
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4798 "bit_depth": "auto",
4799 "color_space": "sRGB",
4800 "codec": "none"
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4802 },
4803 {
4804 "id": 79,
4805 "type": "SaveVideo",
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4820 "name": "video",
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4823 },
4824 {
4825 "localized_name": "filename_prefix",
4826 "name": "filename_prefix",
4827 "type": "STRING",
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4832 },
4833 {
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4836 "type": "COMFY_DYNAMICCOMBO_V3",
4837 "widget": {
4838 "name": "format"
4839 },
4840 "link": null
4841 },
4842 {
4843 "localized_name": "codec",
4844 "name": "format.codec",
4845 "type": "COMFY_DYNAMICCOMBO_V3",
4846 "widget": {
4847 "name": "format.codec"
4848 },
4849 "link": null
4850 },
4851 {
4852 "localized_name": "codec",
4853 "name": "codec",
4854 "shape": 7,
4855 "type": "COMFY_DYNAMICCOMBO_V3",
4856 "widget": {
4857 "name": "codec"
4858 },
4859 "link": null
4860 }
4861 ],
4862 "outputs": [
4863 {
4864 "localized_name": "video",
4865 "name": "video",
4866 "type": "VIDEO",
4867 "links": null
4868 }
4869 ],
4870 "title": "Result",
4871 "properties": [],
4872 "widgets_values": [
4873 "H3 simple swap/swap",
4874 "auto",
4875 "auto",
4876 "auto"
4877 ],
4878 "widgets_values_named": {
4879 "filename_prefix": "H3 simple swap/swap",
4880 "format": "auto",
4881 "format.codec": "auto",
4882 "codec": "auto"
4883 },
4884 "color": "#232",
4885 "bgcolor": "#353"
4886 },
4887 {
4888 "id": 80,
4889 "type": "ImageFromBatch",
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4894 "size": [
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4901 "inputs": [
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4904 "name": "image",
4905 "type": "IMAGE",
4906 "link": 106
4907 },
4908 {
4909 "localized_name": "batch_index",
4910 "name": "batch_index",
4911 "type": "INT",
4912 "widget": {
4913 "name": "batch_index"
4914 },
4915 "link": 107
4916 },
4917 {
4918 "localized_name": "length",
4919 "name": "length",
4920 "type": "INT",
4921 "widget": {
4922 "name": "length"
4923 },
4924 "link": null
4925 }
4926 ],
4927 "outputs": [
4928 {
4929 "localized_name": "IMAGE",
4930 "name": "IMAGE",
4931 "type": "IMAGE",
4932 "links": [
4933 111
4934 ]
4935 }
4936 ],
4937 "properties": {
4938 "Node name for S&R": "ImageFromBatch"
4939 },
4940 "widgets_values": [
4941 0,
4942 1
4943 ],
4944 "widgets_values_named": {
4945 "batch_index": 0,
4946 "length": 1
4947 }
4948 },
4949 {
4950 "id": 81,
4951 "type": "BatchImagesNode",
4952 "pos": [
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4954 90
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4956 "size": [
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4958 106
4959 ],
4960 "flags": [],
4961 "order": 71,
4962 "mode": 0,
4963 "inputs": [
4964 {
4965 "localized_name": "image0",
4966 "name": "images.image0",
4967 "type": "IMAGE",
4968 "link": 108
4969 },
4970 {
4971 "localized_name": "image1",
4972 "name": "images.image1",
4973 "shape": 7,
4974 "type": "IMAGE",
4975 "link": 109
4976 },
4977 {
4978 "localized_name": "image2",
4979 "name": "images.image2",
4980 "shape": 7,
4981 "type": "IMAGE",
4982 "link": 110
4983 },
4984 {
4985 "localized_name": "image3",
4986 "name": "images.image3",
4987 "shape": 7,
4988 "type": "IMAGE",
4989 "link": 111
4990 },
4991 {
4992 "localized_name": "image4",
4993 "name": "images.image4",
4994 "shape": 7,
4995 "type": "IMAGE",
4996 "link": null
4997 }
4998 ],
4999 "outputs": [
5000 {
5001 "localized_name": "IMAGE",
5002 "name": "IMAGE",
5003 "type": "IMAGE",
5004 "links": [
5005 112
5006 ]
5007 }
5008 ],
5009 "title": "Four frames",
5010 "properties": {
5011 "Node name for S&R": "BatchImagesNode"
5012 }
5013 },
5014 {
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5016 "type": "ImageScaleToMaxDimension",
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5019 262
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5025 "flags": [],
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5027 "mode": 0,
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5030 "localized_name": "image",
5031 "name": "image",
5032 "type": "IMAGE",
5033 "link": 112
5034 },
5035 {
5036 "localized_name": "upscale_method",
5037 "name": "upscale_method",
5038 "type": "COMBO",
5039 "widget": {
5040 "name": "upscale_method"
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5042 "link": null
5043 },
5044 {
5045 "localized_name": "largest_size",
5046 "name": "largest_size",
5047 "type": "INT",
5048 "widget": {
5049 "name": "largest_size"
5050 },
5051 "link": null
5052 }
5053 ],
5054 "outputs": [
5055 {
5056 "localized_name": "IMAGE",
5057 "name": "IMAGE",
5058 "type": "IMAGE",
5059 "links": [
5060 119
5061 ]
5062 }
5063 ],
5064 "title": "Shrink for the describer",
5065 "properties": {
5066 "Node name for S&R": "ImageScaleToMaxDimension"
5067 },
5068 "widgets_values": [
5069 "area",
5070 640
5071 ],
5072 "widgets_values_named": {
5073 "upscale_method": "area",
5074 "largest_size": 640
5075 }
5076 },
5077 {
5078 "id": 83,
5079 "type": "PrimitiveStringMultiline",
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5084 "size": [
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5088 "flags": [],
5089 "order": 26,
5090 "mode": 0,
5091 "inputs": [
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5094 "name": "value",
5095 "type": "STRING",
5096 "widget": {
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5100 }
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5102 "outputs": [
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5105 "name": "STRING",
5106 "type": "STRING",
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5110 }
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5118 "widgets_values_named": {
5119 "value": "These four frames are from one video, in time order. The main person is: "
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5122 {
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5139 "name": "value",
5140 "type": "STRING",
5141 "widget": {
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5147 "outputs": [
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5150 "name": "STRING",
5151 "type": "STRING",
5152 "links": [
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5155 }
5156 ],
5157 "properties": {
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5160 "widgets_values": [
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5162 ],
5163 "widgets_values_named": {
5164 "value": ". In two or three sentences describe the shot for a video prompt: first the framing (wide full-body, medium or close-up shot, and how big the person is in the frame), then where the main person is on screen, then what they do with their body and hands, including anything they hold. Call the main person <Subject 1>, with they/them. Never mention gender, age, hair, skin, clothing, glasses, hats or accessories. Output only the sentences."
5165 }
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5169 "type": "StringConcatenate",
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5190 },
5191 {
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5193 "name": "string_b",
5194 "type": "STRING",
5195 "widget": {
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5198 "link": 114
5199 },
5200 {
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5202 "name": "delimiter",
5203 "type": "STRING",
5204 "widget": {
5205 "name": "delimiter"
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5208 }
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5210 "outputs": [
5211 {
5212 "localized_name": "STRING",
5213 "name": "STRING",
5214 "type": "STRING",
5215 "links": [
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5217 ]
5218 }
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5220 "properties": {
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5223 "widgets_values": [
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5225 "",
5226 ""
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5228 "widgets_values_named": {
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5230 "string_b": "",
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5232 }
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5236 "type": "StringConcatenate",
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5241 "size": [
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5243 200
5244 ],
5245 "flags": [],
5246 "order": 41,
5247 "mode": 0,
5248 "inputs": [
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5251 "name": "string_a",
5252 "type": "STRING",
5253 "widget": {
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5255 },
5256 "link": 115
5257 },
5258 {
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5260 "name": "string_b",
5261 "type": "STRING",
5262 "widget": {
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5264 },
5265 "link": 116
5266 },
5267 {
5268 "localized_name": "delimiter",
5269 "name": "delimiter",
5270 "type": "STRING",
5271 "widget": {
5272 "name": "delimiter"
5273 },
5274 "link": null
5275 }
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5277 "outputs": [
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5280 "name": "STRING",
5281 "type": "STRING",
5282 "links": [
5283 117
5284 ]
5285 }
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5287 "properties": {
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5290 "widgets_values": [
5291 "",
5292 "",
5293 ""
5294 ],
5295 "widgets_values_named": {
5296 "string_a": "",
5297 "string_b": "",
5298 "delimiter": ""
5299 }
5300 },
5301 {
5302 "id": 87,
5303 "type": "TextGenerate",
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5308 "size": [
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5310 288
5311 ],
5312 "flags": [],
5313 "order": 75,
5314 "mode": 0,
5315 "inputs": [
5316 {
5317 "localized_name": "clip",
5318 "name": "clip",
5319 "type": "CLIP",
5320 "link": 118
5321 },
5322 {
5323 "localized_name": "image",
5324 "name": "image",
5325 "shape": 7,
5326 "type": "IMAGE",
5327 "link": 119
5328 },
5329 {
5330 "localized_name": "video",
5331 "name": "video",
5332 "shape": 7,
5333 "type": "IMAGE",
5334 "link": null
5335 },
5336 {
5337 "localized_name": "audio",
5338 "name": "audio",
5339 "shape": 7,
5340 "type": "AUDIO",
5341 "link": null
5342 },
5343 {
5344 "localized_name": "system_prompt",
5345 "name": "system_prompt",
5346 "shape": 7,
5347 "type": "STRING",
5348 "link": null
5349 },
5350 {
5351 "localized_name": "prompt",
5352 "name": "prompt",
5353 "type": "STRING",
5354 "widget": {
5355 "name": "prompt"
5356 },
5357 "link": 117
5358 },
5359 {
5360 "localized_name": "max_length",
5361 "name": "max_length",
5362 "type": "INT",
5363 "widget": {
5364 "name": "max_length"
5365 },
5366 "link": null
5367 },
5368 {
5369 "localized_name": "Sampling Mode",
5370 "name": "sampling_mode",
5371 "type": "COMFY_DYNAMICCOMBO_V3",
5372 "widget": {
5373 "name": "sampling_mode"
5374 },
5375 "link": null
5376 },
5377 {
5378 "localized_name": "thinking",
5379 "name": "thinking",
5380 "shape": 7,
5381 "type": "BOOLEAN",
5382 "widget": {
5383 "name": "thinking"
5384 },
5385 "link": null
5386 },
5387 {
5388 "localized_name": "use_default_template",
5389 "name": "use_default_template",
5390 "shape": 7,
5391 "type": "BOOLEAN",
5392 "widget": {
5393 "name": "use_default_template"
5394 },
5395 "link": null
5396 },
5397 {
5398 "localized_name": "mtp",
5399 "name": "mtp",
5400 "shape": 7,
5401 "type": "COMBO",
5402 "widget": {
5403 "name": "mtp"
5404 },
5405 "link": null
5406 }
5407 ],
5408 "outputs": [
5409 {
5410 "localized_name": "generated_text",
5411 "name": "generated_text",
5412 "type": "STRING",
5413 "links": [
5414 122
5415 ]
5416 },
5417 {
5418 "localized_name": "thinking",
5419 "name": "thinking",
5420 "type": "STRING",
5421 "links": null
5422 }
5423 ],
5424 "title": "Write the shot line",
5425 "properties": {
5426 "Node name for S&R": "TextGenerate"
5427 },
5428 "widgets_values": [
5429 "",
5430 200,
5431 "off",
5432 false,
5433 true,
5434 "auto"
5435 ],
5436 "widgets_values_named": {
5437 "prompt": "",
5438 "max_length": 200,
5439 "sampling_mode": "off",
5440 "thinking": false,
5441 "use_default_template": true,
5442 "mtp": "auto"
5443 }
5444 },
5445 {
5446 "id": 88,
5447 "type": "PrimitiveStringMultiline",
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5450 1154
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5452 "size": [
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5454 200
5455 ],
5456 "flags": [],
5457 "order": 28,
5458 "mode": 0,
5459 "inputs": [
5460 {
5461 "localized_name": "value",
5462 "name": "value",
5463 "type": "STRING",
5464 "widget": {
5465 "name": "value"
5466 },
5467 "link": null
5468 }
5469 ],
5470 "outputs": [
5471 {
5472 "localized_name": "STRING",
5473 "name": "STRING",
5474 "type": "STRING",
5475 "links": [
5476 124
5477 ]
5478 }
5479 ],
5480 "properties": {
5481 "Node name for S&R": "PrimitiveStringMultiline"
5482 },
5483 "widgets_values": [
5484 " Normal realistic adult body proportions with the head in natural size to the body, at the same size in the frame as the grey figure. Any part of the body the grey figure shows but <Picture 1> does not is completed naturally, with long dark trousers and shoes. Everything outside the grey figure stays as it is in <Video 1>."
5485 ],
5486 "widgets_values_named": {
5487 "value": " Normal realistic adult body proportions with the head in natural size to the body, at the same size in the frame as the grey figure. Only the body parts the grey figure shows are drawn, exactly where it shows them; where it shows legs that <Picture 1> does not, they wear plain long trousers and shoes. Everything outside the grey figure stays as it is in <Video 1>."
5488 }
5489 },
5490 {
5491 "id": 89,
5492 "type": "StringConcatenate",
5493 "pos": [
5494 10324.222265624998,
5495 90
5496 ],
5497 "size": [
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5499 200
5500 ],
5501 "flags": [],
5502 "order": 60,
5503 "mode": 0,
5504 "inputs": [
5505 {
5506 "localized_name": "string_a",
5507 "name": "string_a",
5508 "type": "STRING",
5509 "widget": {
5510 "name": "string_a"
5511 },
5512 "link": 120
5513 },
5514 {
5515 "localized_name": "string_b",
5516 "name": "string_b",
5517 "type": "STRING",
5518 "widget": {
5519 "name": "string_b"
5520 },
5521 "link": null
5522 },
5523 {
5524 "localized_name": "delimiter",
5525 "name": "delimiter",
5526 "type": "STRING",
5527 "widget": {
5528 "name": "delimiter"
5529 },
5530 "link": null
5531 }
5532 ],
5533 "outputs": [
5534 {
5535 "localized_name": "STRING",
5536 "name": "STRING",
5537 "type": "STRING",
5538 "links": [
5539 121
5540 ]
5541 }
5542 ],
5543 "properties": {
5544 "Node name for S&R": "StringConcatenate"
5545 },
5546 "widgets_values": [
5547 "",
5548 " ",
5549 ""
5550 ],
5551 "widgets_values_named": {
5552 "string_a": "",
5553 "string_b": " ",
5554 "delimiter": ""
5555 }
5556 },
5557 {
5558 "id": 90,
5559 "type": "StringConcatenate",
5560 "pos": [
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5562 356
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5564 "size": [
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5566 200
5567 ],
5568 "flags": [],
5569 "order": 76,
5570 "mode": 0,
5571 "inputs": [
5572 {
5573 "localized_name": "string_a",
5574 "name": "string_a",
5575 "type": "STRING",
5576 "widget": {
5577 "name": "string_a"
5578 },
5579 "link": 121
5580 },
5581 {
5582 "localized_name": "string_b",
5583 "name": "string_b",
5584 "type": "STRING",
5585 "widget": {
5586 "name": "string_b"
5587 },
5588 "link": 122
5589 },
5590 {
5591 "localized_name": "delimiter",
5592 "name": "delimiter",
5593 "type": "STRING",
5594 "widget": {
5595 "name": "delimiter"
5596 },
5597 "link": null
5598 }
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5600 "outputs": [
5601 {
5602 "localized_name": "STRING",
5603 "name": "STRING",
5604 "type": "STRING",
5605 "links": [
5606 123
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5608 }
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5610 "properties": {
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5613 "widgets_values": [
5614 "",
5615 "",
5616 ""
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5618 "widgets_values_named": {
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5620 "string_b": "",
5621 "delimiter": ""
5622 }
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5624 {
5625 "id": 91,
5626 "type": "StringConcatenate",
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5629 622
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5631 "size": [
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5634 ],
5635 "flags": [],
5636 "order": 77,
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5638 "inputs": [
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5640 "localized_name": "string_a",
5641 "name": "string_a",
5642 "type": "STRING",
5643 "widget": {
5644 "name": "string_a"
5645 },
5646 "link": 123
5647 },
5648 {
5649 "localized_name": "string_b",
5650 "name": "string_b",
5651 "type": "STRING",
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5656 },
5657 {
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5659 "name": "delimiter",
5660 "type": "STRING",
5661 "widget": {
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5664 "link": null
5665 }
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5667 "outputs": [
5668 {
5669 "localized_name": "STRING",
5670 "name": "STRING",
5671 "type": "STRING",
5672 "links": [
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5675 }
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5677 "properties": {
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5680 "widgets_values": [
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5682 "",
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5710 "# The_frizzy1 · H3 Singularity Swap · 12 GB · v1.0.0\n\nSwaps **one real person** in your video for **the person in your photo**, keeps the room, the camera and the sound.\nOne H3 pass over the whole clip (up to 15 s), so there are no seams.\n\n## How to use (App mode)\n1. **Your video**: a 24 fps clip with no mirrors. Longest clip: 15 s.\n2. **Person photo**: one sharp photo with a big face, plain background.\n3. **Who to replace**: what SAM 3.1 looks for, e.g. *person* or *bald man*. The biggest match is taken.\n4. **Describe the new person**: one line (hair, beard, glasses, outfit). **Full-body clip and your photo stops at the waist? Add the trousers and shoes** (e.g. *Dark jeans and sneakers.*). Without them Singularity made the head too big in my tests.\n5. **Seconds**: 0 = whole clip. Try 3 s first.\n6. **Short side**: 480 for speed, 736 for close-ups.\n7. **Lip-sync**: on for talking, off for music.\n8. Press **Run**. The result lands in `output/H3 simple swap/`.\n\n## How it works\nSAM 3.1 tracks the person. Qwen3-VL 8B looks at four frames and writes one line about the framing and the action, which Singularity needs to keep the pose and the size right. The person is turned into a grey figure (pose, hands, mouth, no face or clothes), H3 regenerates only the masked area from your photo and the grey figure. The prompt is OPENjutsu's Simple prompt with a realism line added, which you can edit in the graph (*Realism prompt*).\n\n## Speed\nRTX 3060 12 GB, cold start: **9.4 s** at 480×864 in **13:01**, **5.2 s** at 1312×736 in **12:13**, **3 s** at 768×736 in **5:18**.\n\n## Credits\nMask, grey figure and prompt idea from [OPENjutsu](https://github.com/D3voz/openjutsu) by D3voz. Workflow by **The_frizzy1**: [YouTube](https://www.youtube.com/@the_frizzy1) · [workflows](https://github.com/Thefrizzy1/The_frizzy1-Workflows).\n"
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5734 "# Downloads · put each file in the folder shown\n\nInside `ComfyUI/models/`. Click a file name to download it.\n\n| Folder | File (click = download) | Size |\n|---|---|---|\n| `diffusion_models/` | [Minimax-h3_Singularity_ref2va_v2_pruned_int8.safetensors](https://huggingface.co/WarmBloodAban/Minimax-h3_Singularity/resolve/main/Minimax-h3_Singularity_ref2va_v2_pruned_int8.safetensors) | 21.0 GB |\n| `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| `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| `text_encoders/` | [qwen3vl_8b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen3-VL/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors) | 9.4 GB |\n| `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| `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| `checkpoints/` | [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) | 1.7 GB |\n\nTotal: 53.2 GB. If you already run H3, you only need the first file.\nPlain H3 works in the same slot: `minimax_h3_ref2va_pruned_int8_convrot.safetensors`.\n\n**Custom nodes (2):** [comfyui-h3-oneclick-swap](https://github.com/D3voz/comfyui-h3-oneclick-swap) (person mask, grey figure) and [ComfyUI-Fantastic-MiniMaxH3-PromptBuilder](https://github.com/Adudeguyman/ComfyUI-Fantastic-MiniMaxH3-PromptBuilder) (masked edit latent).\n\n## Requirements\n- **GPU:** 12 GB VRAM tested. The 21 GB model does not fit in 12 GB: ComfyUI streams the rest from system RAM.\n- **RAM:** 32 GB tested.\n- **ComfyUI:** 0.43.1 tested.\n\n_Tested on: RTX 3060 12 GB · Ryzen 5 5600X · 32 GB RAM · ComfyUI 0.43.1 · Windows 11._\n\nSingularity is by [WarmBloodAban](https://huggingface.co/WarmBloodAban/Minimax-h3_Singularity), built on MiniMax H3 (MiniMax H3 Community License).\n"
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