Extensions/ComfyUI-Open-H3-Regenerate-2K
ComfyUI Extension

ComfyUI-Open-H3-Regenerate-2K

High-resolution 2K video regeneration and refinement nodes for MiniMax H3 in ComfyUI using Open-H3-Regenerate-2K LoRA, Sharp AdaLN curve branches, and audio-locked latent refinement.

By 1038lab·Created a day ago·Updated a day ago· 2
1038lab/ComfyUI-Open-H3-Regenerate-2K
Nodes—
On cloudLocal install
Stars2
Updateda day ago
Readme

ComfyUI-Open-H3-Regenerate-2K

A dedicated ComfyUI custom node engineered for NVIDIA's Open-H3-Regenerate-2K video super-resolution pipeline on MiniMax H3. It integrates 2K latent refinement into a single unified node with automatic weight downloading, SwiGLU-fixed native BF16 support, 50 LMS Sharp AdaLN curve branch injection, calibrated Euler 2/3-step sigmas, and audio-locked latent masking.

<img width="1373" height="686" alt="image" src="https://github.com/user-attachments/assets/8f794f1a-6c45-429e-bcc4-86741276fec5" />

News & Updates

  • 2026/10/28: Release ComfyUI-Open-H3-Regenerate-2K v1.0.0 ( update.md )
    • Initial release of Open-H3 Regenerate 2K (AILab_OpenH3_Regenerate_2K) node.
    • Built-in automatic model download system fetching weights directly to ComfyUI/models/loras/minmax/.
    • Added SwiGLU-fixed native BF16 (8.80 GB) and lightweight Rank-128 BF16 (1.95 GB) models.
    • Built-in 50 LMS Sharp AdaLN curve branches (sharp_curve) and audio-locking (lock_audio).

Features

  • All-in-One 2K Refinement: Directly outputs patched MODEL, audio-locked LATENT, and official 2/3-step SIGMAS in a single pass.
  • Automatic Model Download: Missing weights automatically download to ComfyUI/models/loras/minmax/ on first run.
  • Flexible Directory Lookup: Recursively searches models/loras/ so users can organize models in any subfolder without re-downloading.
  • SwiGLU-Fixed BF16 Native Weights: Pre-fused QKV and aligned SwiGLU channels for ComfyUI H3 base architecture.
  • 50 LMS Sharp AdaLN Curve Branches: Built-in support for Sharp curve conditioning to enhance 2K video textures.
  • Audio Stream Protection: Built-in lock_audio masks audio latents at sigma 0 so soundtrack fidelity is fully preserved.

Installation

Method 1: Install via ComfyUI Manager (Recommended)

Search for ComfyUI-Open-H3-Regenerate-2K in ComfyUI Manager and click Install.

Method 2: Manual Clone

cd ComfyUI/custom_nodes
git clone https://github.com/1038lab/ComfyUI-Open-H3-Regenerate-2K.git
pip install -r ComfyUI-Open-H3-Regenerate-2K/requirements.txt

Model Downloads

[!TIP] Automatic Download Enabled: You do not need to download Open-H3 LoRA weights manually. The node downloads them on-demand to ComfyUI/models/loras/minmax/. Direct download links are provided below for offline environments.

1. Open-H3 2K LoRA Weights (Target: ComfyUI/models/loras/minmax/)

2. MiniMax H3 Base Models (Required for Workflow)

Place these standard MiniMax H3 models in their respective ComfyUI directories:

Usage

Node: Open-H3 Regenerate 2K (AILab_OpenH3_Regenerate_2K)

Category: 🧪AILab/Open-H3

  1. Connect the MiniMax H3 base model to model.
  2. Connect the 3D-upscaled joint audio-video latent to latent.
  3. Choose your preset in model_name:
    • Open-H3-Regenerate-2K (BF16) for highest 2K quality.
    • Open-H3-Regenerate-2K-r128 (BF16) for faster generation and lower memory.
  4. Outputs:
    • MODEL: Patched model ready for sampling.
    • LATENT: Latent with audio stream protected at sigma 0.
    • SIGMAS: Official calibrated Euler sigmas (3-step or 2-step) to connect to SamplerCustomAdvanced.

Recommended Settings

  • Sampler: euler
  • CFG: 1.0
  • Steps: "3" (official schedule: 0.909375 -> 0.857143 -> 0.666667 -> 0.0)
  • Strength: 1.0
  • Sharp Curve: True
  • Lock Audio: True

Workflows

License & Acknowledgements