Model reference · open weights
minimax_h3_fl2v_lightx2v_4step-convrot_comfy is an open-weight video model from rzgar, 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 FL2V LightX2V 4-Step Int8-ConvRot Clip 1: v1 4step | Clip 2: v1 8step Your browser does not support the video tag. v0.1 4step demo Your browser does not support the video tag. Model description Requirements - ComfyUI (recent - tested on master 0.31.0) - ComfyUI-LoraInt8Loader custom node (standard ComfyUI LoRA loaders cannot dequantize it) Files - Both are quantized from the KJ comfy-converted BF16 LoRA. - LightX2V Release norefiner variant The full LoRA also patches the model's tokenrefiner - the text/audio conditioning refiner. The norefiner variant removes those 8 patches so the conditioning path runs at base quality (some video clips had bad audio. This solution fixed it, but keep in mind it doesn’t happen always). If audio/text conditioning feels weak with the full LoRA at 4 steps, try the norefiner variant. First clip: with refiner | last clip: norefiner Your browser does not support the video tag. Usage (ComfyUI) 1. Unzip the ComfyUI-LoraInt8Loader custom node into customnodes, restart 2. In your MiniMax H3 workflow, add LoRA Loader (Int8-ConvRot), select the file, strength 1.0 (the training scale is already baked in) 3. Sample at 4-6 steps Download model Download them in the Files & versions tab.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | rzgar |
|---|---|
| Type | Video models |
| Variants | 1 |
| Runs with | diffusers |
| Based on | MiniMaxAI/MiniMax-H3 |
| Released | 2026-08-08 |
| Popularity | 13k downloads / month |
| Likes | 5 |
| Licence | Open weights |
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_fl2v_lightx2v_4step_int8-convrot_comfy | — | INT8 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys minimax-h3-fl2v-lightx2v-4step-convrot-comfy for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (minimax-h3-fl2v-lightx2v-4step-convrot-comfy 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-fl2v-lightx2v-4step-convrot-comfy","prompt":"a drone shot over a forest"}'
Details
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Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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