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    "## 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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    "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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    "## 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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    "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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