# MiniMax H3 INT8 R2V Javawock Pack ## Summary Same-day `MiniMax H3` reference-to-video workflow from the updated `javawock7618` pack. This is the newer reference-retention graph to keep alongside the older `2608` import. ## Model Family - `minimax` ## Status - `imported-only` ## Source - Workflow pack page: - Workflow file: - Original publisher: `javawock7618` - Date imported: `2026-09-03` ## Developer notes - The pack README describes this as the `Reference-to-Video` workflow. - It is built around INT8 inference, Sol-Attn, Spectrum, Lightx2v LoRA support, optional Turbo-LoRA, native Extend support, and latent upscaling. - The workflow uses the pack's dedicated reference LoRA path for appearance retention and also carries Fun ControlNet Union support for V2V control-video guidance. ## Our notes - Best new MiniMax H3 import today if you care about reference retention more than flashy motion. - Still heavy on an `RTX 3070`, but the INT8 path is exactly why it is worth keeping. - Good comparison point against the current LTX reference-control and Ingredients-style consistency workflows. ## Required custom nodes - `ComfyUI-SolAttn_triton` - `ComfyUI-Spectrum-MiniMax-H3` - `ComfyUI-H3-SLA-Attention` - `ComfyUI-H3-FaceRefine` - `ComfyUI MiniMax-H3 Latent Upscaler` - `ComfyUI-Switchboard` ## Required models - `Comfy-Org/MiniMax-H3` - `minimax_h3_ref_lora_rank_256_bf16.safetensors` - `Kijai/MiniMax-H3-experimental` for the Fun ControlNet Union path - `lightx2v/Minimax-h3-Turbo` if acceleration is enabled - `drbaph/MiniMax-H3-Turbo-Lora-ComfyUI` if the optional turbo LoRA path is enabled - `LBH-123-AI/Minimax_h3_latent_Upscaler` if latent upscaling is enabled ## Notes - This is the newer same-day R2V graph from the pack, not just a duplicate label.