BUNNY SelfLift | 12GB Direct 1080P | High Motion + LoRA Sharp Hybrid Workflow

BUNNY SelfLift｜12GB直出1080P｜高动态 + LoRA不模糊混合工作流

Try the workflow here:
工作流体验地址：

https://www.runninghub.ai/zh-cn/post/2102271264323829761/?inviteCode=lk4qa7rh

Workflow name: BUNNY_SelfLift_12GB Direct 1080P_High Motion + LoRA Sharp_Hybrid Workflow
工作流名称：BUNNY_SelfLift_12GB直出1080P_高动态+LORA不模糊_混合工作流

Tested hardware: RTX 4070 Ti 12GB VRAM.
实测硬件：RTX 4070 Ti 12GB 显存。

A 10-second H3 video at around 1080P / 2.0MP takes approximately 15 minutes locally on 12GB VRAM.
10秒 H3 视频在约1080P / 2.0MP下，本地12GB显存实测生成时间约 15分钟。

The same 10-second test takes approximately 7 minutes on RunningHub.
同样的10秒测试，在 RunningHub 上大约 7分钟完成

Highly recommended for complex action: pair this LoRA with BUNNY H3 Conditioning Bridge for better multi-character logic, action ownership, and scene stability.
复杂动作场景强烈推荐搭配 BUNNY H3 Conditioning Bridge，可进一步改善多人互动逻辑、动作归属和场景稳定性。

This workflow is designed for MiniMax H3 users who want to generate high-resolution video on consumer GPUs without sacrificing high-motion performance or LoRA clarity.
这套工作流面向 MiniMax H3 用户，目标是在消费级显卡上直接生成高分辨率视频，同时尽量保留高动态表现与 LoRA 清晰度。

The core goal is simple: 12GB VRAM + 1080P / ~2.0MP + High Motion + LoRA without the usual post-upscale blur.
核心目标很简单：12GB显存 + 1080P / 约2.0MP + 高动态 + LoRA放大后不再容易发糊。

The workflow combines SelfLift with MiniMax H3 related nodes and a customized hybrid sampling setup.
工作流基于 SelfLift，并结合 MiniMax H3 相关节点与定制的混合采样方案。

The core solution was completed with help from a community member, while I tested and adjusted it mainly with my own high-motion LoRAs such as Combat, GUNFU, Weapon and Motion Repair.
核心方案由群友完成，我这边主要使用自己的 Combat、GUNFU、Weapon、Motion Repair 等高动态 LoRA 进行了实际测试与调整。

The workflow supports H3 LoRAs and is especially useful for high-motion content such as combat, martial arts, gunfights, parkour and other motion-heavy scenes.
工作流支持 H3 LoRA，尤其适合战斗、武术、枪战、跑酷以及其他高动态场景。

The point is not simply to make 1080P “run” on 12GB — the real goal is to keep high resolution, high motion and LoRA performance at the same time.
这套工作流并不只是为了让12GB“勉强跑得动1080P”，真正的目标是同时保住 高分辨率、高动态和 LoRA 表现。

Required Custom Nodes

相关自定义节点

ComfyUI JR MiniMax H3 Node
ComfyUI JR MiniMax H3 综合节点

https://github.com/Goldlionren/ComfyUI_JR_MiniMaxH3Node

SelfLift — progressive-resolution sampling and the core low-VRAM component of this workflow.
SelfLift——渐进式分辨率采样，也是这套工作流低显存方案的核心组件。

https://github.com/facok/comfyui-SelfLift

ComfyUI-SolAttn_triton — attention acceleration used by the workflow environment.
ComfyUI-SolAttn_triton——工作流环境中使用的注意力加速节点。

https://github.com/kijai/ComfyUI-SolAttn_triton

MiniMax H3 Audio T8 — MiniMax H3 video/audio and two-pass related nodes.
MiniMax H3 Audio T8——提供 MiniMax H3 视频、音频及双采样相关节点。

https://github.com/T8mars/comfyui-minimax-h3-audio-T8

12GB VRAM. 1080P H3. High Motion. LoRA stays sharp.
12GB显存，直出1080P，高动态，LoRA不再一放大就糊。