Model reference · open weights

MiniMax-H3-x-Z-Image-native

MiniMax-H3-x-Z-Image-native 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.

Licence fee required Video joeygambino 1 variants 24k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What MiniMax-H3-x-Z-Image-native is

MiniMax-H3 × Z-Image — spatial detail graft (comfy-native) The comfy-native cuts of the MiniMax-H3 × Z-Image graft: Z-Image's spatial-attention profile on H3's engine — richer sets and textures, same identity, no per-shot sharpening creep. Full story, demos and verification on the GGUF page. Load with the plain Load Diffusion Model node, ComfyUI 0.32+. Files are the pruned H3 builds with the graft baked in (zs05 = late-block gains, dose 0.5): - bf16 — the master (ref2va) - comfy-fp8 / fp8e5m2 — fp8 scaled - comfy-int8 / int8convrot — the fast pick on RTX 50 - comfy-w4a8 / w4a4 / nvfp4 — 4-bit family for 16 GB cards (w4a8 is the quality pick; nvfp4 is Blackwell-native, emulated elsewhere) - comfy-mxfp8 — 8-bit microscaling, Blackwell-specialized; little benefit on older architectures - fl2va and ref2va variants where both exist; picking rules are identical to stock H3 RTX 30/40: the GGUF repo is 4–8× faster than any 4-bit comfy-native arm on Ampere. Made by joeygambino. Questions: open a discussion — I answer.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makerjoeygambino
TypeVideo models
Variants1
Runs withminimax-h3
Based onMiniMaxAI/MiniMax-H3
Released2026-08-22
Popularity24k downloads / month
Likes88
LicenceCommercial licence needed

How it works

How video models work

Prompt / imagestart pointTemporal diffusionframes over timeVideoMP4 clipA video model generates a sequence of coherent frames from your prompt or a starting image.

Variants

Sizes & precisions

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.

VariantParamsPrecisionVRAMFits 16 GBWeights
MiniMax-H3-x-Z-Image-nativeBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys minimax-h3-x-z-image-native for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (minimax-h3-x-z-image-native 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-x-z-image-native","prompt":"a drone shot over a forest"}'

Details

Languages, data & research

Tags

minimax-h3 comfyui comfy-native comfy-quant z-image video-generation audio-video merge text-to-video

Licence

Commercial licence needed

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 ↗

Sources

Weights & code

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