# MiniMax H3 INT8 Reference-to-Video ## Summary `MiniMax H3` reference-to-video workflow with `INT8`, Motion Context, and a dedicated reference LoRA path. ## Model Family - `minimax` ## Status - `imported-only` ## Source - Workflow repo: - Workflow file: - Original publisher: `javawock7618` - Date imported: `2026-08-12` ## Developer notes - This is the `R2V` branch from the source pack. - The source README describes it as an `INT8` workflow built around: - `Sage-Attention` - `Spectrum` - `Lightx2v LoRA` - optional `Turbo-LoRA` - `Motion Context` - latent upscaling - The source README says the `R2V` branch expects `minimax_h3_ref_lora_rank_256_bf16.safetensors`. - The pack also ships `FLF` and `TTS` workflows, but this import is the dedicated reference-video graph. ## Our notes - This is the strongest same-day MiniMax H3 workflow hit because it is actually about reference conditioning and consistency, not just another turbo LoRA. - It is still a heavy ask for an `RTX 3070 / 8 GB`, but it is much more likely to teach you something useful than a novelty-only MiniMax drop. - Best MiniMax workflow to test if you want a real comparison point against `LTX 2.3` consistency work. ## Required custom nodes - `ComfyUI-Spectrum-MiniMax-H3` - `ComfyUI-H3-Motion-Context` - `ComfyUI-MiniMaxH3_LatentUpscaler` - `ComfyUI-SolAttn_triton` - `ComfyUI-GGUF` if you swap to GGUF-based variants - `comfyui-easy-use` - `comfyui-kjnodes` - `comfyui-impact-pack` - `comfyui-ollama` - `comfyui-videohelpersuite` - `WhatDreamsCost-ComfyUI` - `comfyui_nvidia_rtx_nodes` - `was-node-suite-comfyui` ## Required model files - `Comfy-Org/MiniMax-H3` - `minimax_h3_ref_lora_rank_256_bf16.safetensors` from `Kijai/MiniMax-H3-experimental` - optional `Kijai/MiniMax-H3_comfy` - optional `drbaph/MiniMax-H3-Turbo-Lora-ComfyUI` ## Notes - This is the best current MiniMax reference-video import in the repo. - If your goal is faster low-step novelty renders, the turbo paths are easier to demo, but this one is the better consistency-oriented test.