MiniMax H3 Sigma Dual-Pass 2K

AI-KSK ComfyUI workflow: MiniMax H3 Sigma Dual-Pass 2K. The highest-fidelity tier of the pack at QHD, combining dual-pass Sigma reinforcement sampling with 3D latent upscaling and SeedVR2 post processing.

Main features:
- MiniMax H3 hybrid FL2VA/Ref2VA INT8 UNET with Qwen3-VL 32B text encoder, video and audio VAEs for native audio generation.
- Dual-pass Sigma reinforcement: 0.5 MP first pass followed by a second pass with the 768p Ref2V Turbo 8-step LoRA at full strength and 10-step Euler sampling.
- MiniMax H3 3D latent upscaler (FP16, 2x multiplier) between passes for higher internal detail.
- SeedVR2 3B FP8 video upscaling, normalized to QHD 2560x1440.
- Native audio preserved, DLSS 2x frame interpolation (24 to 48 FPS).
- Heaviest render of the 2K tier; use it when final quality matters more than render time.

Suggested workflow:
1. Import the JSON into ComfyUI and install the model files and custom nodes referenced by the workflow.
2. Provide the required text, image, or video inputs for the selected path.
3. Adjust resolution, steps, denoise, and prompt controls, then run the connected SaveVideo output.


RunningHub workflow:
https://www.runninghub.ai/zh-cn/post/2098788225069727746?inviteCode=rh-v1111

AI-KSK RunningHub workflow hub:
https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111

Bilibili tutorial:
https://www.bilibili.com/video/BV1vFYz6HECU/

RunningHub registration and AI tools:
https://www.runninghub.ai/?inviteCode=rh-v1111
https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111
https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111
https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111

Stable global access:
https://lelians.com/#/register?code=mFIJ5tZn

TokenRhythm AI model credits:
https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA

Youyun Cloud GPU:
https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq
https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52

RunPod Cloud GPU:
https://runpod.io/?ref=sxk5n5m7

Support AI-KSK:
https://ko-fi.com/aiksk