comfyui-workflows/models/minimax/minimax-h3-javawock2609-r2v/README.md

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: https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows
• Workflow file: https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows/raw/main/MiniMax_int8_R2V-javano2609.1.1.json
• 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.