Model reference · open weights
MiniMax-H3-Multishot-Workflow is an open-weight video model from joeygambino. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | joeygambino |
|---|---|
| Type | Video models |
| Task | Text→video |
| Runs with | minimax-h3 |
| Released | 2026-08-04 |
| Popularity | 510 downloads / month |
| Licence | Open weights |
About
A ComfyUI node pack and two workflows that render a multi-shot MiniMax-H3 scene as one continuous take: no visible cut at the shot boundaries, no colour shift between shots, and continuous audio across the whole piece.
MiniMax-H3 natively generates blocks of roughly 10-15 seconds. This pack chains those blocks into arbitrarily long scenes and hands back a single master video with a single master audio track.
Released as v2.7.0 of the ComfyUI-H3-Multishot pack.
voice_ref_2 / voice_ref_3, both samplers):
each character keeps their own voice across a chained scene - verified blind
across a full chain, no cross-speaker bleed.x0_clamp_window,
dose cap 0.30), in-loop latent upscale + refresh_renoise +
pin_noise_ramp + auto_chunk_ffn.[English] ...) and LTX
(quoted dialogue) system prompts for every mode via an appended engine
widget.Set take_seconds on MASTER CONTROLS (or open H3_Extend_Take, now the
main workflow, shipped at 1280x736 with a 30-second take) and give the writer
one premise. The panel sizes a window for your
card and the number of windows that fills the time; the writer's new
extend take join style writes ONE continuous speech and cuts it across
the windows at sentence boundaries; the chain continues it under
context_pin in H3's own voice — no TTS, no airlock, no per-shot dialogue
budgeting. Verified before shipping: seven writer-driven renders including a
65-second, 7-window take, every join continued the speech, reviewed blind as
one uninterrupted take. Also in 2.6.0: reference photographs now win over the
writer's prose (the writer points at the photos instead of describing a face -
same-seed measured), auto refs reach the sampler on their own (a second gate
downstream used to discard them silently), three
reserve-planning fixes from the 24 GB test lab and a writer fix for silent
shots echoing the voice anchor. Full notes in the changelog below.
Known limit (2.6.0): the chain's texture ratchet is not fully solved for long takes - measured about +13% fine texture per join at 736x1280 with the anti-drift set on. Under ~4 windows (~30-40 s) it is slight; at 7 windows it is visible sharpening. Keep extend takes to ~4 windows for now; a pin-side fix is in progress for 2.6.1.
Four new memory systems, all measured, two of them fully automatic:
low_ram_master. Long chains used to hold every finished shot in
system RAM until the final join — tens of GB at the very last step. Switch
it on and shots stream to lossless disk staging as they finish; peak RAM
becomes about two shots regardless of chain length, with verified-identical
output (42.8 dB against the RAM path — codec noise).H3 TAE Decode. 2-second full-resolution draft previews from a 9 MB
tiny decoder, versus about a minute per shot through the real VAE. For seed
hunts and batch triage, never finals.Plus a Speed Boosters panel (Spectrum, TeaCache, block cache, EasyCache — each measured and eye-tested, with honest notes about which distort people), and new defaults tuned for 16-24 GB cards. Details in the changelog below.
ComfyUI-H3-Multishot/ - the ComfyUI custom-node pack (samplers, loaders,
studio controls, LoRA stack, GGUF architecture patch).workflows/ - three ready-to-load ComfyUI graphs:
H3_Seamless_Chain_v2.json - the full workflow: master controls, LLM
prompt writer, speed boosters, remote encoder lane, anchors.H3_Seamless_Chain_CORE.json - the same chain with zero third-party
dependencies.H3_Keyframes.json - a single clip with anchors at chosen frame
positions.INSTALL.md, SETTINGS.md, PROMPTING.md - install steps, the full
settings reference, and the boundary/prompt rules.No model weights. Nothing here is a checkpoint, a text encoder, a VAE or a LoRA. Download the weights separately:
| Component | Where |
|---|---|
MiniMax-H3 checkpoint (ref2va shipped, fl2va also chains), GGUF quants | joeygambino/MiniMax-H3-GGUF |
| Text encoder, video VAE, audio VAE | Comfy-Org/MiniMax-H3 |
GGUF sizing guid
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys minimax-h3-multishot-workflow for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (minimax-h3-multishot-workflow below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"minimax-h3-multishot-workflow","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.