---
title: H3_Minimax_res2s_rkmk2e_Workflow
canonical_url: "https://www.modelscope.ai/models/zuanfilm/H3_Minimax_res2s_rkmk2e_Workflow"
md_url: "https://www.modelscope.ai/models/zuanfilm/H3_Minimax_res2s_rkmk2e_Workflow.md"
repository: zuanfilm/H3_Minimax_res2s_rkmk2e_Workflow
last_updated: 2026-09-14
license: mit
pipeline_tag: image-to-video
tasks:
  - image-to-video
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 56
stars: 0
tags:
  - comfyui
  - workflow
  - minimax
  - minimax-h3
  - video-generation
  - image-to-video
  - text-to-video
  - res4lyf
  - res_2s_rkmk2e
  - beta57
  - architectural
  - video-workflow
---

# H3_Minimax_res2s_rkmk2e_Workflow

> H3_Minimax_res2s_rkmk2e_Workflow - An open-source model by zuanfilm on ModelScope. MiniMax H3 — RES2SRKMK2E + BETA57

zuanfilm/H3_Minimax_res2s_rkmk2e_Workflow is a image-to-video model on ModelScope. licensed under mit.

- **Repository**: zuanfilm/H3_Minimax_res2s_rkmk2e_Workflow
- **License**: mit
- **Tasks**: image-to-video
- **Tags**: comfyui, workflow, minimax, minimax-h3, video-generation, image-to-video, text-to-video, res4lyf, res_2s_rkmk2e, beta57, architectural, video-workflow
- **Downloads**: 56
- **Stars**: 0
- **Last updated**: 2026-09-14

Source: https://www.modelscope.ai/models/zuanfilm/H3_Minimax_res2s_rkmk2e_Workflow

---

# MiniMax H3 — RES_2S_RKMK2E + BETA57

A quality-focused ComfyUI workflow for MiniMax H3 using the RES4LYF `res_2s_rkmk2e` sampler with the beta57 configuration.

RES_2S_RKMK2E + BETA57 — QUALITY-FOCUSED SAMPLING FOR MINIMAX H3

This workflow implements the RES4LYF res_2s_rkmk2e sampler with the beta57 configuration, creating a quality-focused sampling setup intended for demanding MiniMax H3 workflows.

res_2s_rkmk2e is a two-stage exponential RES sampler designed to follow the model's denoising trajectory with a higher-order numerical integration approach. Combined with beta57, the configuration is particularly interesting for workflows where structural fidelity, reference adherence, and fine visual detail are more important than maximum sampling speed.

WHY USE RES_2S_RKMK2E + BETA57 WITH MINIMAX H3

MiniMax H3 generations can contain complex spatial relationships that need to remain coherent throughout the generation. This is especially important for architectural scenes, reference-driven video, and controlled image-to-video transitions.

The res_2s_rkmk2e + beta57 configuration can be advantageous when the generation needs to preserve:

• Temporal visual consistency

BETA57

This implementation uses beta57 as part of the sampling configuration.

The purpose of the beta57 configuration in this workflow is to provide a tuned quality-oriented setup rather than simply maximizing generation speed. Its usefulness should be evaluated together with the complete H3 workflow, including steps, guidance, conditioning, resolution, references, and other sampler settings.

The combination should therefore be considered a workflow configuration rather than a universal claim that beta57 is superior for every H3 generation.

QUALITY VS. SPEED

The primary trade-off is computational cost.

res_2s_rkmk2e is a two-stage sampler, so it requires additional model evaluations compared with simpler one-evaluation-per-step approaches. The benefit is the potential for a more accurate numerical approximation of the denoising trajectory.

This makes the configuration particularly appropriate when the priority is:

REFERENCE FIDELITY
→ STRUCTURAL CONSISTENCY
→ FINE DETAIL
→ SPATIAL COHERENCE
→ QUALITY

rather than:

MAXIMUM SPEED
→ FAST ITERATION

PRACTICAL H3 USE

For fast experimentation, a faster sampler can be useful for establishing composition, prompting, and general motion.


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license: mit
---