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MiniMax H3 Ultimate 12GB — T2V/I2V/FFLF/R2V/Multiframe/ControlNet/Extend, one dropdown, with audio

Updated: Nov 15, 2026

conceptminimaxminimax h3rtx 3060turbo loraaudio

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1 variant available

Config Other

The_frizzy1_minimax-h3-ultimate-12gb_v2.4.0.json

308.59 KB

Verified:

Type
Workflows
Stats

28

Reviews

(2)

Published

Nov 15, 2026

Base Model

MiniMax H3

Hash
AutoV27A817D2429

The MiniMax H3 Community License Agreement’s grant excludes the European Union, the United Kingdom, the Republic of Korea and the United States of America.

MiniMax H3

☕ One coffee = one happy creator: https://buymeacoffee.com/the_frizzy1

Eight 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, multiframe, ControlNet pose and Extend a clip. Every mode comes out with sound.

What you need

✔ Custom nodes — None. Core ComfyUI only.
✔ ComfyUI version — 0.39.2 for v2.3.0 (native MiniMax H3, SDPose, Switch / Custom Combo / Math Expression, Trim Audio Duration). The benchmark table below was run on 0.37.4.
✔ VRAM — 12 GB — tested, not estimated. Peak 11.3–11.6 GB
✔ System RAM — 32 GB. It peaks at 17–22 GB, so close your other big apps
✔ Tested on — RTX 3060 12 GB · 32 GB DDR4 · ComfyUI 0.37.4 (Sage attention); v2.3.0 on ComfyUI 0.39.2
✔ Licence — Workflow MIT · MiniMax H3: MiniMax H3 Community License

Models to download

Click a file name to download it. Put it in the folder shown, inside ComfyUI/models/. Every file name was read from the workflow .json.

Required — all 10 files, about 69 GB. Text and image to video only (including last frame, first + last and extend) needs 5 of them, about 42 GB: the FL2VA model, the FL2V turbo LoRA, the text encoder and both VAEs.

Comfy-Org/MiniMax-H3

diffusion_models/

File: minimax_h3_fl2va_pruned_int8_convrot.safetensors — 21.0 GB (12 GB (tested))
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors

Put it here:
ComfyUI/models/diffusion_models/

File: minimax_h3_ref2va_pruned_int8_convrot.safetensors — 21.0 GB (12 GB (tested))
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors

Put it here:
ComfyUI/models/diffusion_models/

loras/

File: minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors — 2.0 GB
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors

Put it here:
ComfyUI/models/loras/

File: minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors — 2.0 GB
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors

Put it here:
ComfyUI/models/loras/

text_encoders/

File: qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors — 15.7 GB
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors

Put it here:
ComfyUI/models/text_encoders/

vae/

File: minimax_h3_video_vae_int8_convrot.safetensors — 2.8 GB
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors

Put it here:
ComfyUI/models/vae/

File: minimax_h3_audio_vae_fp32.safetensors — 0.6 GB
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors

Put it here:
ComfyUI/models/vae/

model_patches/

File: minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors — 2.3 GB (ControlNet mode)
Download:
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/model_patches/minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors

Put it here:
ComfyUI/models/model_patches/

Comfy-Org/SDPose — the ControlNet mode's pose models.

checkpoints/

File: sdpose_wholebody_fp16.safetensors — 1.9 GB (ControlNet mode)
Download:
https://huggingface.co/Comfy-Org/SDPose/resolve/main/checkpoints/sdpose_wholebody_fp16.safetensors

Put it here:
ComfyUI/models/checkpoints/

diffusion_models/

File: rt_detr_v4-x-hgnet_fp16.safetensors — 0.1 GB (ControlNet mode)
Download:
https://huggingface.co/Comfy-Org/SDPose/resolve/main/diffusion_models/rt_detr_v4-x-hgnet_fp16.safetensors

Put it here:
ComfyUI/models/diffusion_models/

Modes

One Mode dropdown on the node: T2V (prompt) · I2V (First frame) · Last frame · First + last frame · R2V (Reference 1 + 2, write <Picture 1>, <Picture 2> in the prompt) · Multiframe (references + 3 guide frames at the times you set) · ControlNet pose (Reference 1 + video, the pose is read from it) · Extend a clip.

The inputs start bypassed. Un-bypass only the ones your mode uses (select + Ctrl+B) and keep the rest bypassed. Length in seconds is turned into a valid H3 frame count for you: 5 s = 124 frames. Turbo LoRAs are on by default, 8 steps FL2VA and 4 steps Ref2VA, 20 steps with turbo off. Two LoRA slots sit on the node: strength 0 means the file is never even opened.

Extend with the clip's sound, new in v2.3.0. The clip's last 0.9 s of sound go in with its last 22 frames. In my test the first 0.9 s of the new clip followed the music's loudness almost exactly with the switch on, envelope match 0.961, and not at all with it off, -0.016. After the join H3 makes new sound for your prompt either way: it did not keep the song going. The result begins with those 22 carried-over frames, so trim about 0.9 s when you join clips.

Speed on my RTX 3060

Each mode run once, 5 s clips, turbo on. Wall is queue to finished including model loading, sampling is time in the sampler nodes.

  • T2V — 0.4 MP, 3 min 02 s wall, 2 min 28 s sampling, 11.3 GB peak vram, 16.9 GB peak ram

  • I2V (first frame) — 0.4 MP, 3 min 20 s wall, 2 min 46 s sampling, 11.3 GB peak vram, 17.1 GB peak ram

  • Last frame — 0.4 MP, 3 min 19 s wall, 2 min 46 s sampling, 11.4 GB peak vram, 17.1 GB peak ram

  • First + last frame — 0.4 MP, 3 min 29 s wall, 2 min 54 s sampling, 11.3 GB peak vram, 16.9 GB peak ram

  • R2V (references) — 0.4 MP, 2 min 10 s wall, 1 min 33 s sampling, 11.4 GB peak vram, 16.9 GB peak ram

  • Multiframe — 0.4 MP, 2 min 18 s wall, 1 min 42 s sampling, 11.3 GB peak vram, 16.9 GB peak ram

  • ControlNet (pose) — 0.4 MP, 4 min 59 s wall, 2 min 43 s sampling, 11.3 GB peak vram, 20.1 GB peak ram

  • Extend, with the clip's sound — 0.4 MP, 3 min 51 s – 3 min 53 s wall, — sampling, 11.4 GB peak vram, 19.1 GB peak ram

  • Extend, silent — 0.4 MP, 3 min 31 s – 3 min 33 s wall, — sampling, 11.4 GB peak vram, 19.1 GB peak ram

At 0.9 MP (1280x736) every mode also ran: 6 min 31 s for Multiframe up to 13 min 07 s for ControlNet, peak VRAM 11.6 GB, peak RAM 18.5–21.8 GB. Keep Megapixels at 0.4 or 0.9 on 12 GB. 1.5 MP spills out of VRAM: T2V timed out after 32 min, so stay at 0.9 or below.

What did not work

  • An input you are not using, left un-bypassed, gives you "Invalid image file" before the run even starts. ComfyUI checks the file of every active loader, also in modes that never read it.

  • If the mode needs an input and it is still bypassed, the run stops at a "Needs ..." node instead of quietly making a T2V.

  • Downloaded only the 42 GB set? The Ref2VA, Ref2V LoRA, ControlNet, SDPose and RT-DETR loaders go red. Click them and pick any file you have in that folder, they are never loaded in the FL2VA modes.

  • Loaders red although you downloaded everything: your models sit in a sub-folder like diffusion_models/MiniMax-H3/. Re-pick each red loader once.

  • There is no loop node in core ComfyUI yet, so a long video here means running Extend again and again, one clip after another.

  • The ninth H3 mode, a full character swap, is not in here. It runs on Viggle's H3 finetune and needs a custom node pack, so it stayed its own workflow.

Get the workflow

More videos on this stuff: https://www.youtube.com/playlist?list=PLMztlpsP7Bgg