Model reference · open weights
MiniMax-H3 is an open-weight video model from joeygambino, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
MiniMax-H3 GGUF (fl2va + ref2va) GGUF quantizations of MiniMax-H3's 33B video+audio DiTs, quantized from the Comfy-Org bf16 repackages. Runs in ComfyUI with ComfyUI-GGUF plus a one-line architecture patch (node pack: ComfyUI-H3-Multishot; workflows: MiniMax-H3-Multishot-Workflow). Want smaller files? There is a second set built from MiniMax's pruned checkpoints, ~40% smaller at the same quant tier, in MiniMax-H3-curve-GGUF. They need ComfyUI 0.30.0+, and they are a different trade, not a straight replacement - so this repo stays exactly as it is. Stay here if you are on an older ComfyUI, or if you would rather run the larger quants. fl2va = text/first-last-frame to video+audio (T2V and I2V). ref2va = reference-conditioned generation (identity from up to 9 images, 3 videos with soundtracks, 3 voice clips). Troubleshooting: "Unexpected architecture type in GGUF file: 'minimaxh3'" If ComfyUI throws this the moment it tries to load the file, the quant is fine - ComfyUI-GGUF checks a GGUF's architecture against a fixed list and rejects anything not on it before reading a single tensor, and upstream's list does not yet include minimaxh3. The fix is to install (or update to) ComfyUI-H3-Multishot v1.5.2 or newer: https://github.com/jlucasmcrell/ComfyUI-H3-Multishot From v1.5.2 the pack teaches ComfyUI-GGUF that architecture automatically, in memory, at every ComfyUI start - no files are modified and the fix survives ComfyUI-GGUF updates. You should see this in the ComfyUI console on startup: [H3] taught ComfyUI-GGUF the 'minimaxh3' architecture If you still hit the error, the pack is not being loaded. As a fallback you can patch ComfyUI-GGUF on disk with python applyggufarchpatch.py from the pack's folder, then restart. (Earlier pack versions required that script as a manual install step. It was too easy to miss, which is why several people reasonably concluded these quants were broken. Sorry about that - it is automatic now.) Sample 30 seconds, three chained shots, one script, rendered on the fl2va Q51 quant - same presenter, same voice, across both seams: Workflows The multishot workflows (easy mode + expert) live in their own repo: MiniMax-H3-Multishot-Workflow - wit
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | joeygambino |
|---|---|
| Type | Video models |
| Variants | 1 |
| Runs with | minimax-h3 |
| Based on | MiniMaxAI/MiniMax-H3 |
| Released | 2026-08-04 |
| Popularity | 32k downloads / month |
| Likes | 3 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| MiniMax-H3-GGUF | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys joeygambino-minimax-h3 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (joeygambino-minimax-h3 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":"joeygambino-minimax-h3","prompt":"a drone shot over a forest"}'
Details
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Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗
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