comfyui-workflows/models/minimax/minimax-h3-int8-r2v-javano2608-14/README.md

MiniMax H3 INT8 Reference-to-Video

Summary

MiniMax-H3 reference-to-video workflow with INT8, Motion Context, a dedicated reference LoRA path, and latent upscaling. This is the most practical same-day MiniMax consistency-oriented update.

Model Family

• minimax

Status

• imported-only

Source

• Workflow repo: https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows
• Workflow file: https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows/resolve/main/MiniMax_int8_R2V-javano2608.14.json?download=true
• Original publisher: javawock7618
• Date imported: 2026-08-13

Developer notes

• This is the R2V branch from the source pack.
• The source README describes the pack as using Sage-Attention, Spectrum, Lightx2v LoRA, experimental Turbo-LoRA, Motion Context, and latent upscaling.
• The R2V branch expects minimax_h3_ref_lora_rank_256_bf16.safetensors.

Our notes

• This is the strongest today-only MiniMax-H3 workflow for actual consistency and reference control.
• It is still heavy for an RTX 3070 / 8 GB, but it is much more interesting than a novelty-only turbo drop.
• If you want one MiniMax workflow to test against LTX 2.3, this is the one.

Required custom nodes

• ComfyUI-Spectrum-MiniMax-H3
• ComfyUI-H3-Motion-Context
• ComfyUI-MiniMaxH3_LatentUpscaler

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 better MiniMax-H3 pick when you care about reference fidelity, not just speed.
• The pack also ships FLF and TTS workflows, but this import is the dedicated R2V graph.