u/cgpixel23

Hello everyone, I’ve just finished a new ComfyUI workflow that allows you to use MiniMax H3 as an image generation model and create detailed character sheets from a single reference image or a batch of images. The main goal is to use these character sheets as stronger references for more consistent video generation, giving you multiple views and details of the same character. The workflow is simple to use: load the required MiniMax H3 models, load your image or batch of images, choose the number of steps (8 steps for faster generation or 25 steps for the best results), and click Run. I’ve also tested the workflow with different inputs to see how well MiniMax H3 can handle character consistency and image generation. As shown in the results the consistency is very good the character details remain the same and if we compare this to qwen image 2.1 H3 is clearly winner here in therm of quality because the results are with resolution of 4096x1536 vs x1664x928 for qwen, the consistency is slightly better. As for the generation time qwen is definitely faster here:

Gen time 25 steps 12 mins (Minimax H3 Turbo Fused)

Gen time 6 steps 4.5 mins (Qwen 2.1+ Viggle4 Steps LORA)

You can test the workflow here and watch the tutorial for more info

Workflow link

https://drive.google.com/file/d/1v4NC6vEGN2uDxO2_L05g1q0JPkeoSsYo/view?usp=sharing

https://civitai.com/articles/36126/minimax-h3-image-generation-create-consistent-character-sheets-in-comfyui 

Hello everyone

I’ve been testing an optimized version of the MiniMax H3 LongVideos workflow, and I managed to generate a 40-second video using only 6GB of VRAM and 16GB of RAM. The workflow generates multiple shots and combines them into a longer video, while also providing options for controlling shot duration and upscaling the final result. On my RTX 3060 6GB, the complete 40-second generation took around 107 minutes, so the main advantage here is making long-video generation possible on low-VRAM hardware rather than achieving fast generation. The results have good consistency, motion, and lip sync, and I’m continuing to test different settings to see how far this can be pushed.

Test setup:

• Video length: 40 seconds
• GPU: RTX 3060 6GB VRAM
• RAM: 16GB
• Generation time: ~107 minutes at 0.6 Megapixel

Workflow Links

https://drive.google.com/file/d/15FYXmjzvUv_NZRS2YqlZfWnVy_Oqc1Ue/view?usp=sharing

https://civitai.com/articles/35667/minimax-h3-40-second-video-on-6gb-vram-can-it-really-work

Hello everyone

I’ve just finished a new MiniMax Director workflow for 6GB VRAM. The workflow lets you animate multiple reference images together, while also supporting text-to-video, image-to-video, and custom audio/voice. I built it with low-VRAM users in mind by generating the video at a lower resolution first, then using the MiniMax upscaling nodes to upscale the final result. In the tutorial, I’ll also show you how to create

-Character sheet images with flux 2 klein

-Generate object references like skateboard or walkman,

-Combine them with MiniMax Director, and turn everything into a consistent animated video.

Workflow link

https://civitai.com/articles/35264/comfyui-tutorial-multi-image-to-video-minimax-h3-director-with-6gb-of-vram

Hello everyone,

In this tutorial, we’re taking a look at the newly released MiniMax H3 models(fused turbo and VDN), which are designed to generate videos faster than the original FP8 and INT8 versions. i tested the new models with the second-sampling upscaling workflow and compared the generation speed and overall quality. i put them through demanding tests, including fast-motion and fighting scenes, to see whether they can produce smoother and more dynamic movement without introducing excessive grain, artifacts, or quality degradation. Most importantly, I’ve optimized the entire workflow for low-VRAM GPUs and tested it on my RTX 3060 with only 6GB of VRAM & 16GB RAM.

The goal was to see how far we can push MiniMax H3 on limited hardware while maintaining the best possible quality and improving generation speed. and the results showed that minimax fused turbo version is one of the best model that we have right now it can do not only video generation but also video editing into one single model as for generation time we have :

Generation time at 0.4 megapixel: 7 Minutes

Upscaling time at 1.2 megapixel: 20 Minutes

vs for VDN version of minimax

Generation time at 0.4 megapixel: 10 Minutes

Upscaling time at 1.2 megapixel: 30 Minutes

Minimax H3 FUSED Version Link
https://huggingface.co/MATLOWAI/minimax-h3-fused-turbo-int8-convrot/tree/main/diffusion_models

Workflow Link

https://civitai.com/articles/35051/comfyui-tutorial-speed-up-minimaxh3-fused-vs-vdn-model-with-6gb-of-vram

Hello everyone

I’ve just finished a new custom MiniMax H3 Ref2Vid workflow that combines SAM3 masking with face swapping.The workflow lets you load a reference face + source video, define what should be masked using a simple prompt such as face or head, and generate the face-swapped video directly in ComfyUI.

I’ve also optimized the workflow specifically for low-VRAM GPUs, including 6GB VRAM, using several MiniMax H3 optimization techniques:

• Low VRAM Attention
• Chunk FeedForward
• SLA Attention
• Sol-Attn
• Spectrum
• INT8Conv model

To get started, you just need to load your face image and video, enter your masking prompt, and run the workflow. I made a full tutorial showing the complete setup and generation process.

Workflow Link

https://civitai.com/articles/34795/comfyui-tutorial-minimax-h3-face-swap-on-6gb-vram

Video Tutorial Link

https://youtu.be/dk9CgSrSZXw

Hello everyone,

I’ve been working on a MiniMax H3 optimization workflow for low-VRAM GPUs, especially my RTX 3060 6GB, and I’ve combined several optimization nodes to improve both VRAM usage and generation speed. With a new custom MiniMax H3 workflow that introduces a second sampling stage to increase the base resolution of your generated videos, similar to the workflow we’ve seen with LTX models.

The main advantage of this method is that you can save generation time and reduce VRAM usage by generating the initial video at a lower resolution during the first sampling stage, and then using a second upscaling sampling stage to reconstruct the video at a higher resolution while adding more detail and improving the overall quality.

But that's not all. In this workflow, we're also going to use several MiniMax H3 optimization nodes, including Low VRAM Attention, Chunk FeedForward, SLA Attention, Sol-Attn, and Spectrum, to make the generation process more efficient, especially for GPUs with limited VRAM.

At the end of this tutorial, you'll understand how the two-stage sampling workflow works, how to optimize MiniMax H3 for better speed and VRAM management, and how to choose the best upscaling method for your workflow, including a comparison between MiniMax H3 sampling and LTX sampling.

Workflow Link

https://civitai.com/articles/34596/comfyui-tutorial-minimax-h3-2-stage-workflow-high-res-video-faster-generation

Hello everyone

With this workflow you can generate 15-second clips on Minimax H3 even with limited VRAM. This custom workflow prevents system crashes during long renders. Many users struggle with generation time limits when working with Minimax H3 on hardware with low memory. This workflow provides a specific solution by outlining a custom workflow that extends your video generation capabilities to 15 seconds without overloading your system. It is designed for creators who need longer sequences but are constrained by their current VRAM capacity. The steps focus on memory optimization with TURBO LORA+ Attention Nodes Like Comfui Kitchen. so you can watch the video tutorial to see necessary steps and how to use Motion Context Nodes.

Workflow Link

https://civitai.com/articles/34327/comfyui-tutorial-6gb-vram-you-can-still-make-15s-minimax-h3-videos

Hello everyone

Want to get faster MiniMax H3 video generation without sacrificing quality? In this tutorial, I’m testing the new H3 LoRA together with Sage Attention, Sol Attention, and Spectrum nodes to find the best combination for speed and quality. The goal is to push MiniMax H3 as far as possible while cutting generation times by up to 2×, then upscale the results with LTX Upscaler to reach a stunning 2432 × 1344 (2K-class) resolution. By combining both H3 LoRA together with Sage Attention, Sol Attention, and Spectrum nodes I generated video at 0.8 megapixel using "**RTX3060 6GB 16GB RAM "**and I got

 13 minutes vs 41 minutes at 8 steps

 27 minutes vs 52 minutes at 20 steps

LTX 2.3 Upscaler 11 minutes to get 2432 × 1344 resolution

Workflow link

https://civitai.com/articles/34028/comfyui-tutorial-minimax-h3-4-steps-lora-upscaling-2x-faster-generation-best-settings-for-2k-ai

First testing of the LTX 2.5 with a 6GB VRAM I’ve created a low-VRAM workflow that supports both Text-to-Video and Image-to-Video, optimized specifically for GPUs with 6GB of VRAM. The goal is to make LTX 2.5 more accessible to users who don’t have high-end GPUs, while keeping the workflow simple and easy to use. If you’re interested in testing LTX 2.5 on a 6GB GPU, check out the workflow and let me know how it performs on your setup!

Video Resolution : 1344x768 for 7 seconds video
Generated Time : 10 min

The model seems very fast the motions are better, lipsync and sound too, however the quality in minimax is better to me

Workflow link

https://civitai.com/articles/33897/comfyui-tutorial-first-test-of-ltx-2-5-new-model-better-than-minimax-h3

Hello everyone, welcome back to the channel!

In today's tutorial, I'll show you how to run MiniMax H3 on an RTX 3060 with only 6GB of VRAM using a highly optimized ComfyUI workflow. We'll combine GGUF models, Sigma Shift, and Spectrum Apply nodes to dramatically reduce VRAM usage while still achieving impressive video generation results.

Since the generated videos are produced at a lower resolution to fit within the VRAM limit, I'll also show you how to use LTX 2.3 to upscale them and significantly improve their quality, giving you sharp, high-resolution videos without requiring expensive hardware.

By the end of this tutorial, you'll know exactly how to set up the workflow, configure the models and nodes, optimize performance for low-VRAM GPUs, and generate the best possible results on a 6GB graphics card. If you've been waiting for a way to use MiniMax H3 without upgrading your GPU, this tutorial is for you. Let's get started!

WORKFLOW LINK

https://civitai.com/articles/33517/comfyui-tutorial-minimax-h3-on-rtx-3060-6gb-vram-optimized-low-vram-workflow-ltx-2-3-upscaling

VIDEO TUTORIAL LINK

https://youtu.be/Kr5SrY5bwJU