MiniMax-H3 Multishot — chained shots, one master, with audio

Support

Everything here is free and stays free — the format spec, the nodes, the workflows, the cartridges, the LoRAs. If it saved you a night of debugging (it contains several hundred of mine), tips keep the 5090 warm:

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Chain MiniMax-H3 shots into one continuous video with audio — in one node. Write one prompt per shot, put --- between them, pick a shot count, queue. Each shot generates forward from the last frame of the previous one; the duplicated seam frame and its 1/24s of audio are trimmed automatically, so the master comes out clean with continuous sound.

The demo video on this page was made by the workflow it demonstrates: 30 seconds, three chained shots from one script, same presenter and same voice across both seams, rendered on the 25.9 GB Q5_1 GGUF on a single consumer GPU.

A word on expectations. MiniMax-H3 is a 33B joint audio+video model and this pack shipped days after the weights did. It works — the demo is proof — but day-0 territory means your first clean render may take tuning to YOUR machine. If you get stuck, comment here or open a GitHub issue — I answer.

Quick fixes — read this first

• Red / missing nodes when the workflow loads
  Why: The pack isn't installed, or ComfyUI wasn't restarted after installing.
  Fix: Install ComfyUI-H3-Multishot (Manager > Install via Git URL works), restart, then hard-refresh the browser tab — the frontend caches node definitions.

• GGUF model errors with “unknown model architecture”
  Why: ComfyUI-GGUF doesn't know MiniMax-H3 out of the box.
  Fix: Run python apply_gguf_arch_patch.py from the pack folder (one line, idempotent), restart. Needs ComfyUI-GGUF installed.

• The queue stops with a JSON error about the script
  Why: Your script starts with { but isn't valid JSON — usually a doubled brace or a missing comma. The node stops on purpose instead of rendering the raw text for ten minutes.
  Fix: Fix the JSON, or skip JSON entirely: plain prompts separated by --- lines.

• Length change errors out
  Why: H3 hard constraint — frame counts live on a 17k+5 grid.
  Fix: Use 226, 243, 260… frames_per_shot steps by 17 so the widget keeps you legal. 243 is ~10s; 362 (~15s) is the trained max per shot.

• Speech turns to gibberish late in a long shot
  Why: Past ~15s per shot you are outside the trained range; picture generalizes further than speech does.
  Fix: Keep scripted dialogue inside each shot's first ~15s, or use more, shorter shots — that is what the chaining is for.

• An object morphs into something else at a seam
  Why: The chain hands each shot the previous final frame. If shot 1 ends showing the cameraman holding his camcorder and shot 2 is filmed FROM that camcorder, the model must explain a device in a hand that shouldn't be in frame — and it will invent something.
  Fix: End every shot on what the NEXT shot expects to see. Match the bridge frame to the next shot's framing and the seams disappear.

• Out of VRAM, or renders crawl
  Why: 33B of weights.
  Fix: Use the GGUFs — Q5_1 for 24-32 GB cards, Q4_0 for 16 GB. The file does not need to fit in VRAM; ComfyUI streams the overflow. Expect ~10 min per 10s shot on a 5090-class card.

What you get

SCRIPT (one prompt per shot, --- between)
   -> SHOT 1 -> [last frame] -> SHOT 2 -> [last frame] -> SHOT 3 ...
   -> seam-trimmed MASTER (video + continuous audio)

• H3 Multishot Sampler — the whole pipeline in one node. shot_count is real: 0 = one shot per prompt, N = exactly N shots render, nothing wasted.

• H3 Model Loader — one dropdown for .safetensors and .gguf, routed automatically.

• H3_Multishot_AIO.json — easy mode: loaders > script > sampler > save. Eight nodes.

• H3_Multishot_3chain_expert.json — the same pipeline exploded into three visible chains for per-stage tinkering.

What you need

• ComfyUI v0.30.0+ (native MiniMax H3 support)

• The node pack: ComfyUI-H3-Multishot

• Weights: MiniMax-H3 GGUF (Q5_1 / Q4_0, both DiT flavors) — or the originals

• Text encoder + VAEs from Comfy-Org/MiniMax-H3

• For GGUF: ComfyUI-GGUF + the included one-line patch

Two settings worth knowing

• shot_count is the real thing here: extra script prompts drop (loudly, in the console), missing ones continue the last prompt as a hold.

• frames_per_shot rides H3's 17k+5 grid. 243 ≈ 10s. 362 ≈ 15s is the trained ceiling — beyond renders, but speech frays first.

Everything else I've published

• All models on Hugging Face

• This workflow on Hugging Face

• Node pack source on GitHub