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

File	Size	NDownload
`minimax_h3_fl2v_turbo_4step_v1.0_int8_convrot`	991 MB	download
`minimax_h3_fl2v_turbo_8step_v1.0_int8_convrot`	991 MB	Download
`minimax_h3_fl2v_turbo_4step_v0.1_int8_convrot`	991 MB	Download

Both are quantized from the KJ comfy-converted BF16 LoRA.
LightX2V Release

norefiner variant

The full LoRA also patches the model's token_refiner - 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)

Unzip the ComfyUI-LoraInt8Loader custom node into custom_nodes, restart
In your MiniMax H3 workflow, add LoRA Loader (Int8-ConvRot), select the file, strength 1.0 (the training scale is already baked in)
Sample at 4-6 steps

Download model

Download them in the Files & versions tab.

rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy