---

name: minimax-h3-video description: Build MiniMax H3 (Hailuo) local video workflows with native T2V/I2V/R2V nodes, Comfy-Org INT8 weights, turbo LoRAs for 8GB VRAM, 15-second stereo-audio clips, and the official MiniMax prompting guides (cite by link, do not copy). globs:

• "**/*.json"

---

MiniMax H3 (Hailuo) — local video

This skill teaches the local-weights MiniMax H3 path in ComfyUI. It is the pilot for #1155 (Official vs Empirical sources) because MiniMax publishes a real prompting guide. Cite that guide by URL. Do not copy it into this repo.

Two products, two cost models — pick one

They share a brand and must not be mixed.

Path	Nodes	Cost	VRAM	When
Local weights (this skill)	MiniMaxH3ImageToVideo, MiniMaxH3ReferenceToVideo, EmptyMiniMaxH3LatentAV, MiniMaxH3SigmaShift, MiniMaxH3MemoryEfficientSageAttentionPatch	Free after download	Yes — INT8 + turbo LoRA is the 8 GB story	User wants 4–15 s stereo clips on their GPU
Partner API	MinimaxHailuo03TextToVideoNode, MinimaxHailuo03FirstLastFrameNode, MinimaxHailuo03ReferenceNode, MinimaxTextToVideoNode, MinimaxImageToVideoNode, MinimaxHailuoVideoNode	Paid per generation	None	User has a MiniMax / Hailuo API key and does not want local weights

API nodes do not take MiniMaxH3SigmaShift or Sage-attention patches. Local nodes do not spend API credits. If the user asked for Hailuo cloud, stop and use the API nodes + their key; do not download 40 GB of weights.

MiniMaxH3Director is a third-party pack (muse-collective-26/MiniMaxH3-Director), not core. Do not require it for T2V / I2V / R2V.

License — cite, do not copy

Local weights and MiniMax's own documentation sit under the MiniMax H3 Community License. Materials includes the Documentation. The agreement's Applicable Territory excludes the United States, the EU, the UK, and South Korea. This skill does not reproduce MiniMax's skills/h3-prompt-writing/ SKILL.md or the prompting-guide prose. Linking to a public URL is the #1155 requirement.

This is not legal advice. Tell a US/EU/UK/KR user that the local path is territory-restricted and that the paid API is a separate product under MiniMax platform terms.

Prefer the Comfy-Org template over hand-wiring

ComfyUI ≥ 0.30.0 (templates in the 0.33 line). These are core comfyui-workflow-templates graphs in the frontend Template Library → Video, not installer packs and not custom-node example_workflows:

Mode	Template Library card	File	Diffusion file
T2V / I2V / FL2VA	MiniMax H3: Text to Video / Image to Video	video_minimax_h3_t2v.json / video_minimax_h3_i2v.json	minimax_h3_fl2va_pruned_int8_convrot.safetensors
R2V (omni-reference)	MiniMax H3: Reference to Video	video_minimax_h3_r2v.json	minimax_h3_ref2va_pruned_int8_convrot.safetensors

list_packs action:"list_templates" will not list them. enqueue_workflow action:"run_template" will not resolve video_minimax_h3_t2v / _i2v / _r2v. That action only loads bundled installer packs, and there is no packs/minimax-h3-* yet. Do not call it until a pack exists. panel_load_workflow needs pack:, a disk path:, or an inline UI graph. A Template Library basename is none of those.

Load path that works:

1. Preferred. Ask the user to open Template Library → Video → MiniMax H3: Text to Video (or Image to Video / Reference to Video). Pick the local video_minimax_h3_* cards, not the api_minimax_h3_* paid partner templates.
2. Agent, no UI click. Fetch the UI JSON from https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_minimax_h3_t2v.json (or _i2v / _r2v; raw.githubusercontent.com is the same files), save it with save_workflow action:"save" filename:"video_minimax_h3_t2v.json", then panel_load_workflow path:"video_minimax_h3_t2v.json". Same pattern as video-extend (stage on disk, then path:). Do not pass the GitHub URL as path: or pack:.

After it lands, retarget the subgraph's exposed widgets (prompt, duration, turbo_mode, megapixels). Official T2V/I2V graphs wrap MiniMaxH3ImageToVideo inside a subgraph (type is a UUID). Do not flatten that interior unless you are hand-building.

Hand-building the subgraph is slower and easy to get wrong.

Comfy tutorial (wiring, not MiniMax's prompt formula): https://docs.comfy.org/tutorials/video/minimax/minimax-h3

Models (Comfy-Org INT8 pack)

All from huggingface.co/Comfy-Org/MiniMax-H3. Download with download_model action:"download".

File	Folder	Role
minimax_h3_fl2va_pruned_int8_convrot.safetensors	diffusion_models/	T2V / I2V / first-last-frame
minimax_h3_ref2va_pruned_int8_convrot.safetensors	diffusion_models/	R2V only — different UNet
qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors	text_encoders/	Qwen3-VL-32B encoder, CLIPLoader type=minimax
minimax_h3_video_vae_fp16.safetensors	vae/	Visual VAE
minimax_h3_audio_vae_fp32.safetensors	vae/	Stereo audio VAE (32 kHz)

Turbo LoRAs (4–8 steps instead of ~20)

The Comfy-Org T2V template already switches these on with turbo_mode:

Steps	File	Source
8	minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors	lightx2v/Minimax-h3-Turbo
4	minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors	Comfy-Org/MiniMax-H3 loras/

Kijai conversions live at Kijai/MiniMax-H3_comfy (loras/) and experimental W4A8 at Kijai/MiniMax-H3-experimental. Same job (low-step / low-VRAM). Prefer the Comfy-Org / lightx2v filenames the template already names; only switch to a Kijai file if that is what is on disk.

4-step is faster and softer; 6 to 8 steps is the usual sharpness compromise.

Output spec

Knob	Value
Duration	4–15 seconds
Frame rate	24 fps (CreateVideo.fps)
Audio	Native stereo, decoded by the audio VAE, muxed in CreateVideo
Short edge	768 px native; cap 768×1344, multiple of 32
Preview size	ResolutionSelector megapixels 0.4 → 864×480 at 16:9
Full 768p	megapixels ~0.98 → 1344×768 at 16:9

Duration → frame length (Comfy-Org template math, 17-frame blocks):

max(5, round(seconds * 24)) + (5 - (max(5, round(seconds * 24)) % 17)) % 17

That is the 17k+5 grid. Do not invent a WAN-style 4n+1 length.

Node graph (local T2V / I2V)

From the Comfy-Org T2V subgraph (core nodes, not the Markdown notes):

ResolutionSelector (aspect, megapixels, multiple=32) → width, height

UNETLoader (fl2va int8)
  ├─ LoraLoaderModelOnly (turbo LoRA) ─┐
  └────────────────────────────────────┤ ComfySwitchNode (turbo_mode)
                                       ▼
                         BasicGuider + BasicScheduler + KSamplerSelect(res_multistep)
                                       ▼
CLIPLoader (type=minimax, qwen3vl 32b) → MiniMaxH3ImageToVideo
VAELoader (video vae) ─────────────────→   prompt, width, height, length
optional first_frame / last_frame ─────→   → CONDITIONING + LATENT
                                       ▼
                         SamplerCustomAdvanced → LATENT
                                       ├─ VAEDecode (video vae) → IMAGE
                                       └─ VAEDecodeAudio (audio vae) → AUDIO
                                       ▼
                         CreateVideo (fps=24) → SaveVideo

MiniMaxH3ImageToVideo is T2V when both image sockets are empty, I2V with first_frame, FL2VA with both frames. Do not add a second T2V-only node. The manga-director-codex MiniMax H3 prompt adapter (prompt_adapters/minimax_h3.json) declares that as mode text_to_video alongside I2V / FL2VA / L2VA / R2V (#2786).

R2V replaces the UNet with ref2va and the conditioner with MiniMaxH3ReferenceToVideo. Do not load fl2va into an R2V graph.

Local-only helpers

Node	Role
EmptyMiniMaxH3LatentAV	Empty audio-video latent when you are not using MiniMaxH3ImageToVideo's built-in latent
MiniMaxH3SigmaShift	Flow-matching shift on the local UNet
MiniMaxH3MemoryEfficientSageAttentionPatch	Core Sage patch; or KJNodes Patch Sage Attention KJ (sage_attention=auto) between UNETLoader and BasicGuider

Sage roughly doubles speed. H3 has mixed dtypes, so console lines about falling back to pytorch attention on some layers are expected.

Sampler defaults (Comfy-Org template)

Mode	Sampler	Scheduler	Steps
Base (no turbo)	res_multistep	simple	20
Turbo on	res_multistep	simple	4–8 (template default turbo steps widget)

Guider is BasicGuider (CFG-distilled checkpoint, so do not crank CFG). Seed via RandomNoise.

Prompting — read the vendor guide, do not paste it here

Write the prompt in the MiniMax H3 node, not a generic CLIPTextEncode.

Official MiniMax guides (read these; do not copy them into graphs as a system prompt dump):

• T2VA / I2VA / FL2VA / L2VA: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/docs/VIDEO_PROMPT_WRITING_GUIDE_base_en.md
• Full-reference / R2V: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/docs/VIDEO_PROMPT_WRITING_GUIDE_ref_en.md
• Vendor skill (install separately if the user wants it; we do not bundle it): https://github.com/MiniMax-AI/MiniMax-H3 (npx skills add … --skill h3-prompt-writing)

H3-Context-IR (the hosted prompt rewriter) is not in the open weights. Local ComfyUI has no IR node. Either write the structured prompt yourself from the guide, or call MiniMax's Context-IR API and paste content.prompt into the local node.

Comfy-Org's own template notes (safe to follow, not MiniMax docs):

1. One block covering look, scene, timed shots, camera, and audio (dialogue, SFX, score).
2. Time shots ([0s-1.5s] Shot 1: …).
3. R2V: name each input in connection order (<Picture 1>, <Video 1>, <Audio 1>) and say what job each one does (identity, motion, voice).
4. R2V caps (vendor model card, not a guess): ≤9 images, ≤3 videos, ≤3 audio clips, ≤12 files mixed; each AV clip 2 to 15 s.

15-second clips and chaining

One H3 shot is at most ~15 s. Longer pieces are concatenated clips, not a bigger length.

1. Generate clip N (up to 15 s).
2. Confirm the file with get_image action:"list_outputs" (kind:"video"). Video nodes often skip /history.
3. Stage the last frame (or the whole clip) with upload_image action:"stage".
4. Clip N+1: MiniMaxH3ImageToVideo.first_frame = last frame of N, or R2V with <Video 1> as a continuation reference.
5. Concat with ffmpeg (director skill) or an editor.

This is not WAN Pusa (video-extend). Pusa LoRAs and flowmatch_pusa do not apply to H3.

VRAM

Card	Practical setup
24 GB+	INT8 fl2va + Qwen3-VL + both VAEs; 1344×768; 10–15 s; Sage optional
12–16 GB	Same INT8 pack; drop megapixels toward 0.4–0.6; turbo LoRA on; Sage
8 GB	INT8 + turbo LoRA + Sage + short preview (0.2–0.4 MP, 4–6 s). Minutes per clip. Kijai W4A8 if INT8 still OOMs.

Always clear_vram before switching to H3 from WAN / LTX / a checkpoint.

Gotchas

• CLIPLoader type must be minimax. qwen_image / flux will load the wrong encoder layout.
• fl2va vs ref2va. T2V/I2V templates on ref2va (or R2V on fl2va) are garbage or a load error.
• Turbo off, 4 steps. The switch defaults off and base steps are 20. Four steps without the LoRA is mush.
• API node in a local graph. Costs money and ignores the UNet you downloaded.
• WAN frame math. H3 is 24 fps and 17k+5, not 16 fps 4n+1.
• Verify video on disk, then stage. Never guess input/ paths.
• ffmpeg is required for CreateVideo / SaveVideo / VHS_VideoCombine.
• Desktop/Cloud ComfyUI lags nightly. Missing MiniMaxH3* nodes → update to ≥0.30.0 (0.33 templates) before hunting custom packs.

See also

• video-extend: WAN Pusa temporal continuation (different family)
• director: multi-clip concat after you have 15 s H3 shots
• prompt-engineering: generic CLIP syntax; H3 does not use it
• triton-sageattention: installing Sage on Windows

There is no bundled packs/minimax-h3-* installer yet, which is why enqueue_workflow action:"run_template" cannot load these graphs. Use the Template Library (or the GitHub fetch → save_workflow → panel_load_workflow path: path above) + download_model against Comfy-Org/MiniMax-H3.

Sources

• Official: MiniMax prompting guides https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/docs/VIDEO_PROMPT_WRITING_GUIDE_base_en.md (T2VA/I2VA/FL2VA/L2VA) and https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/docs/VIDEO_PROMPT_WRITING_GUIDE_ref_en.md (full-reference / R2V); vendor repo https://github.com/MiniMax-AI/MiniMax-H3; ComfyUI tutorial + templates https://docs.comfy.org/tutorials/video/minimax/minimax-h3 (wiring, duration grid, INT8 filenames). MiniMax's own skills/h3-prompt-writing is linked, not copied, because the Community License includes Documentation.
• Empirical: local vs partner-API node split and 8 GB turbo-LoRA note from issue #1167 / the reporter's rig; Sage mixed-dtype fallback from the Comfy tutorial; chaining last-frame→next-clip from observed ComfyUI I/O (stage + list_outputs), not a vendor extender.