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        "### Основной проход\n\n**`ComfyUI/models/diffusion_models/`**\n- [Minimax-h3_Singularity_ref2va_v1.3_int8.safetensors](https://huggingface.co/WarmBloodAban/Minimax-h3_Singularity/resolve/main/Minimax-h3_Singularity_ref2va_v1.3_int8.safetensors) — модель генерации.\n\n**`ComfyUI/models/text_encoders/`**\n- [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)\n\n**`ComfyUI/models/vae/`**\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) — видео.\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) — звук.\n\n**`ComfyUI/models/loras/`**\n- [LightX2V Ref2V Turbo 8-step · 768p · ComfyUI BF16](https://huggingface.co/lightx2v/Minimax-h3-Turbo/resolve/main/minimax_h3_ref2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors) — основное ускорение.\n- [Choreographed Dancing V2](https://civitai.com/models/2991318?modelVersionId=3395440) — сохранить как `MiniMaxH3_Choreographed_Dancing_V2.safetensors` или выбрать скачанный файл в узле «LoRA · танец».\n- [fal Realism People LoRA](https://huggingface.co/fal/MiniMax-H3-Realism-People-LoRA/resolve/main/h3-realism-people-t2v-i2v-r2v.safetensors) — сохранить как `minimax-h3-people.safetensors` или выбрать скачанный файл в узле «LoRA · люди».\n- [Turbo EMA-600 · ComfyUI](https://huggingface.co/t8star/minimax_h3_turbo_v4_step600_ema_DasiwaREF2VAHybridV1_0_curveproj1025_compat_v001/resolve/main/minimax_h3_turbo_v4_step600_ema_comfyui.safetensors) — запасное ускорение. Узел выключен по умолчанию.\n\n### Дополнительно для рефайна 2K\n\n**`ComfyUI/models/diffusion_models/`**\n- [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) — модель рефайна.\n- [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) — таблица для узла Sharp.\n\n**`ComfyUI/models/loras/`**\n- [open_h3_regenerate_2k_lora.safetensors](https://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K/resolve/main/lora/open_h3_regenerate_2k_lora.safetensors)\n- [sharp_curve_branches.safetensors](https://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K/resolve/main/lora/sharp_curve_branches.safetensors)\n\n**`ComfyUI/models/latent_upscale_models/`**\n- [minimax_h3_latent_upscaler_3d_conv_v1_bf16.safetensors](https://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K/resolve/main/latent_upsampler/minimax_h3_latent_upscaler_3d_conv_v1_bf16.safetensors)\n\nРефайн использует Video VAE из основного прохода. Установи также [узлы ComfyUI-Open-H3-Regenerate](https://github.com/rdh9616/ComfyUI-Open-H3-Regenerate)."
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        "text": "### Основной проход\n\n**`ComfyUI/models/diffusion_models/`**\n- [Minimax-h3_Singularity_ref2va_v1.3_int8.safetensors](https://huggingface.co/WarmBloodAban/Minimax-h3_Singularity/resolve/main/Minimax-h3_Singularity_ref2va_v1.3_int8.safetensors) — модель генерации.\n\n**`ComfyUI/models/text_encoders/`**\n- [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)\n\n**`ComfyUI/models/vae/`**\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) — видео.\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) — звук.\n\n**`ComfyUI/models/loras/`**\n- [LightX2V Ref2V Turbo 8-step · 768p · ComfyUI BF16](https://huggingface.co/lightx2v/Minimax-h3-Turbo/resolve/main/minimax_h3_ref2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors) — основное ускорение.\n- [Choreographed Dancing V2](https://civitai.com/models/2991318?modelVersionId=3395440) — сохранить как `MiniMaxH3_Choreographed_Dancing_V2.safetensors` или выбрать скачанный файл в узле «LoRA · танец».\n- [fal Realism People LoRA](https://huggingface.co/fal/MiniMax-H3-Realism-People-LoRA/resolve/main/h3-realism-people-t2v-i2v-r2v.safetensors) — сохранить как `minimax-h3-people.safetensors` или выбрать скачанный файл в узле «LoRA · люди».\n- [Turbo EMA-600 · ComfyUI](https://huggingface.co/t8star/minimax_h3_turbo_v4_step600_ema_DasiwaREF2VAHybridV1_0_curveproj1025_compat_v001/resolve/main/minimax_h3_turbo_v4_step600_ema_comfyui.safetensors) — запасное ускорение. Узел выключен по умолчанию.\n\n### Дополнительно для рефайна 2K\n\n**`ComfyUI/models/diffusion_models/`**\n- [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) — модель рефайна.\n- [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) — таблица для узла Sharp.\n\n**`ComfyUI/models/loras/`**\n- [open_h3_regenerate_2k_lora.safetensors](https://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K/resolve/main/lora/open_h3_regenerate_2k_lora.safetensors)\n- [sharp_curve_branches.safetensors](https://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K/resolve/main/lora/sharp_curve_branches.safetensors)\n\n**`ComfyUI/models/latent_upscale_models/`**\n- [minimax_h3_latent_upscaler_3d_conv_v1_bf16.safetensors](https://huggingface.co/Efficient-Large-Model/Open-H3-Regenerate-2K/resolve/main/latent_upsampler/minimax_h3_latent_upscaler_3d_conv_v1_bf16.safetensors)\n\nРефайн использует Video VAE из основного прохода. Установи также [узлы ComfyUI-Open-H3-Regenerate](https://github.com/rdh9616/ComfyUI-Open-H3-Regenerate)."
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        "The 4 LoRAs\n\nref2v_turbo_4step_v0.1: native speed LoRA. Fastest, but skin comes out a bit oily.\nref2v_turbo_8step_v1.0_768p: the \"Reference\" speed LoRA.\nturbo_v4_step600_ema: EMA-600 speed LoRA. Best skin, weakest scene logic.\nminimax-h3-people: People Realism LoRA (skin texture).\n\nGolden rule: one speed LoRA at a time. Never stack two of the first three.\n\nPick a tier\n\nTier 1 · Max Realism: EMA-600 @ 1.0 + People @ 1.0 · 8 steps\nFor locked-off close-ups and skin/beauty shots.\nBackgrounds go soft, and fast motion can break.\nTier 2 · Balanced (default): Ref 8-step @ 1.0 + People @ 1.0 · 8 steps\nFor talking heads with light staging.\nGood skin, and the scene holds together.\nTier 3 · Max Intelligence: Ref 8-step @ 1.0 only · 8 steps\nFor action, movement, props, or complex prompts.\nSharpest backgrounds and best prompt-following.\nFast · Speed Draft: Ref 4-step v0.1 @ 1.0 · 6 steps\nFor quick tests and drafts.\nFastest option, but skin looks oilier.\n\nAlways\n\nUsing People? Put r34l1sm at the very start of the prompt, or the LoRA won't fire.\nRender in a single pass. A second pass makes skin more oily or fake.\nResolution: 1.2–1.4 MP.\nSkin detail only shows when the face is big in frame. In wide shots, judge logic and motion, not pores."
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        "text": "The 4 LoRAs\n\nref2v_turbo_4step_v0.1: native speed LoRA. Fastest, but skin comes out a bit oily.\nref2v_turbo_8step_v1.0_768p: the \"Reference\" speed LoRA.\nturbo_v4_step600_ema: EMA-600 speed LoRA. Best skin, weakest scene logic.\nminimax-h3-people: People Realism LoRA (skin texture).\n\nGolden rule: one speed LoRA at a time. Never stack two of the first three.\n\nPick a tier\n\nTier 1 · Max Realism: EMA-600 @ 1.0 + People @ 1.0 · 8 steps\nFor locked-off close-ups and skin/beauty shots.\nBackgrounds go soft, and fast motion can break.\nTier 2 · Balanced (default): Ref 8-step @ 1.0 + People @ 1.0 · 8 steps\nFor talking heads with light staging.\nGood skin, and the scene holds together.\nTier 3 · Max Intelligence: Ref 8-step @ 1.0 only · 8 steps\nFor action, movement, props, or complex prompts.\nSharpest backgrounds and best prompt-following.\nFast · Speed Draft: Ref 4-step v0.1 @ 1.0 · 6 steps\nFor quick tests and drafts.\nFastest option, but skin looks oilier.\n\nAlways\n\nUsing People? Put r34l1sm at the very start of the prompt, or the LoRA won't fire.\nRender in a single pass. A second pass makes skin more oily or fake.\nResolution: 1.2–1.4 MP.\nSkin detail only shows when the face is big in frame. In wide shots, judge logic and motion, not pores."
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        "ULTRA SPEED - Singularity 4-step\n=====================================\n\nWHAT CHANGED FROM THE BEST WORKFLOW\n  Model  -> Minimax-h3_Singularity_ref2va_v1.3_int8\n  LoRA   -> minimax_h3_ref2v_turbo_4step_v0.1\n  Sampling -> the Dual Clock node drives it, single pass\n  The whole second pass is still here, just bypassed (purple nodes)\n\n  NOTE: Singularity only works with the 4step v0.1 LoRA.\n  Do not swap in the 8step one.\n\nSETTING THE STEP COUNT  (this is the only knob - leave resolution at 1.0MP)\n  Green Dual Clock node, first field: steps. You never touch a sigma string.\n\n    6 steps   THE DEFAULT. Low-motion shots: talking to camera, walking,\n              slow moves. This is the sweet spot of the whole workflow.\n    8 steps   High motion: dancing, arms swinging freely, crowds.\n    4 steps   Works, but with no margin. It drops words out of spoken\n              dialogue when the line is clipped or has weak syllables:\n              'Four. Not forty. Four.' lost its 'not' every single time,\n              while 'Not forty steps, not twelve - just four.' came out\n              clean. Only use 4 if speed matters more than the voice.\n\n  KEEP RESOLUTION AT 1.0MP (1360x768 / 768x1360). That is the LoRA's\n  native 768p scale, and what a normal GPU can actually run. Steps buy\n  more than pixels: 4 steps at 1.4MP (243s) looked WORSE than 6 steps at\n  1.0MP (206s). Spend on steps, not on resolution.\n\n  Timings, a 10s clip at 1.0MP:  4 steps 153s | 6 steps 206s\n  Motion is free - a big-motion dance took 205s, the same as a\n  locked-off talking head. Only frames x pixels cost anything.\n\n  The sigma curve is NOT a lever. DualClock/beta, DualClock/native_flow\n  and a hand-written turbo curve all rendered in ~242s and looked the\n  same. Don't waste time there - step count is what moves quality.\n\nWHAT BREAKS AND WHEN\n  Ask one question: how much SMALL, FAST-MOVING detail is in frame?\n\n   fine at 4    talking to camera, sitting, walking, slow moves,\n                plain or shallow-focus background\n   fine at 4    hands resting on knees, gripping a pole, holding a cup -\n                anything with a contact point\n   needs 6-8    both arms swinging freely in the air\n   needs 6-8    busy backgrounds - crowds, traffic, rain, leaves.\n                Background pedestrians ghost as they walk away.\n   don't bother inversions, flips, dunks - more steps won't fix these\n\nIF THE AUDIO SOUNDS THIN\n  Change shift_audio on the Dual Clock node (default 3).\n  Do NOT add steps - 4 steps and 8 steps sound identical, the step\n  count is not an audio control.\n  Audio quality tracks clip length and how much dialogue you write:\n  a short clip with one line will always sound hollow.\n  Write one line every 2.5s - two lines in a 5s clip, six in a 15s one.\n\nRESOLUTION\n  1.0MP is already publishable (768x1360). A 5s talking-head clip\n  renders in 76s, a 15s one in 262s.\n  The LoRA was trained at 768p,\n\nTURNING THE SECOND PASS BACK ON\n  You can (select the purple nodes, press Ctrl+B), but know what it\n  gives you: a BIGGER picture, not a SHARPER one. Detail only ever\n  carries the resolution it was generated at; upscaling cannot invent\n  what was never there.\n  Want it sharper? Raise megapixels on the ResolutionSelector instead."
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        "text": "ULTRA SPEED - Singularity 4-step\n=====================================\n\nWHAT CHANGED FROM THE BEST WORKFLOW\n  Model  -> Minimax-h3_Singularity_ref2va_v1.3_int8\n  LoRA   -> minimax_h3_ref2v_turbo_4step_v0.1\n  Sampling -> the Dual Clock node drives it, single pass\n  The whole second pass is still here, just bypassed (purple nodes)\n\n  NOTE: Singularity only works with the 4step v0.1 LoRA.\n  Do not swap in the 8step one.\n\nSETTING THE STEP COUNT  (this is the only knob - leave resolution at 1.0MP)\n  Green Dual Clock node, first field: steps. You never touch a sigma string.\n\n    6 steps   THE DEFAULT. Low-motion shots: talking to camera, walking,\n              slow moves. This is the sweet spot of the whole workflow.\n    8 steps   High motion: dancing, arms swinging freely, crowds.\n    4 steps   Works, but with no margin. It drops words out of spoken\n              dialogue when the line is clipped or has weak syllables:\n              'Four. Not forty. Four.' lost its 'not' every single time,\n              while 'Not forty steps, not twelve - just four.' came out\n              clean. Only use 4 if speed matters more than the voice.\n\n  KEEP RESOLUTION AT 1.0MP (1360x768 / 768x1360). That is the LoRA's\n  native 768p scale, and what a normal GPU can actually run. Steps buy\n  more than pixels: 4 steps at 1.4MP (243s) looked WORSE than 6 steps at\n  1.0MP (206s). Spend on steps, not on resolution.\n\n  Timings, a 10s clip at 1.0MP:  4 steps 153s | 6 steps 206s\n  Motion is free - a big-motion dance took 205s, the same as a\n  locked-off talking head. Only frames x pixels cost anything.\n\n  The sigma curve is NOT a lever. DualClock/beta, DualClock/native_flow\n  and a hand-written turbo curve all rendered in ~242s and looked the\n  same. Don't waste time there - step count is what moves quality.\n\nWHAT BREAKS AND WHEN\n  Ask one question: how much SMALL, FAST-MOVING detail is in frame?\n\n   fine at 4    talking to camera, sitting, walking, slow moves,\n                plain or shallow-focus background\n   fine at 4    hands resting on knees, gripping a pole, holding a cup -\n                anything with a contact point\n   needs 6-8    both arms swinging freely in the air\n   needs 6-8    busy backgrounds - crowds, traffic, rain, leaves.\n                Background pedestrians ghost as they walk away.\n   don't bother inversions, flips, dunks - more steps won't fix these\n\nIF THE AUDIO SOUNDS THIN\n  Change shift_audio on the Dual Clock node (default 3).\n  Do NOT add steps - 4 steps and 8 steps sound identical, the step\n  count is not an audio control.\n  Audio quality tracks clip length and how much dialogue you write:\n  a short clip with one line will always sound hollow.\n  Write one line every 2.5s - two lines in a 5s clip, six in a 15s one.\n\nRESOLUTION\n  1.0MP is already publishable (768x1360). A 5s talking-head clip\n  renders in 76s, a 15s one in 262s.\n  The LoRA was trained at 768p,\n\nTURNING THE SECOND PASS BACK ON\n  You can (select the purple nodes, press Ctrl+B), but know what it\n  gives you: a BIGGER picture, not a SHARPER one. Detail only ever\n  carries the resolution it was generated at; upscaling cannot invent\n  what was never there.\n  Want it sharper? Raise megapixels on the ResolutionSelector instead."
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      "title": "Мегапиксели → разрешение",
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        "Разрешение исходного прохода, округление до 32 px.\n\n| MP | 9:16 · Ш × В | 16:9 · Ш × В |\n|---:|---:|---:|\n| 0.2 | 352 × 608 | 608 × 352 |\n| 0.3 | 416 × 736 | 736 × 416 |\n| 0.4 | 480 × 864 | 864 × 480 |\n| 0.5 | 544 × 960 | 960 × 544 |\n| 0.6 | 608 × 1056 | 1056 × 608 |\n| 0.7 | 640 × 1152 | 1152 × 640 |\n| 0.8 | 672 × 1216 | 1216 × 672 |\n| 0.9 | 736 × 1280 | 1280 × 736 |\n| 0.98 | 768 × 1344 | 1344 × 768 |\n| 1.0 | 768 × 1376 | 1376 × 768 |\n| 1.2 | 832 × 1504 | 1504 × 832 |\n| 1.5 | 928 × 1664 | 1664 × 928 |\n| 1.8 | 1024 × 1824 | 1824 × 1024 |\n| 2.0 | 1088 × 1920 | 1920 × 1088 |"
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        "text": "| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n"
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