Introducing: MINIMAX H3 | EZ WF

UPDATE V4.1: Swapped LTX2.3 models to LTX2.5, reworked the LTX refine process also. Added H3 upscaler as an option, please only use either H3/RTX upscaling before an LTX Pass, using both will create a video too large for LTX to handle and will OOM.

Models needed are below (the exact ones i use)

NOTES:
do NOT use the releases version 0.31.0, it will not work. Also be sure to update all of the nodes correctly, pull them from GitHub. Check your console for any missing dependencies like sage-attention etc and install them. i will no longer be responding to any issues regarding node pack issues, you just don't have the updated versions or you have something in your setup that conflicts. also make sure your models are compatible, users have been reporting it doesn't work, only to find the are using models that aren't compatible, this model was made with INT8 in mind.

If you are having black outputs you need to either remove the start-up flag --use-sage-attention, change to the normal VAE if you are using the INT8 one i linked, or again update comfy to latest version on master branch.

a custom workflow for Minimax's H3 video model. Its not too different to the base one Comfy provides, just has some little tweaks that i like to use, including Sage Attention/Turbo LoRAs and more!

This workflow is my personal workflow that I use for all of my Minimax H3 stuff, it may not be to everyone's taste but it works well for me and I'm sure others may find it useful.

Generated a 5 second clip with 0.2MP > 1x LTX Upscale at 16:9 in 7:32 on an RTX 3060 12GB/32GB Sys RAM using this WF. base workflow was more than double that time.

The workflow uses the most optimal boosters there are right now (all optional, you can just run without them)

Works on 12GB VRAM + 32 GB System RAM. not tested on anything below.

INCLUDES:

• 3 Ref Images | 2 Ref Audio | 1 Ref Video

• Comfy Kitchen Patch (For Lower VRAM Use)

• Block Cache & Sol-Attn with Optimised Settings

• LTX Refiner

• RTX Upscaler

• H3 Latent Upscaler

• ITV/T2V/RTV Modes

Nodes Needed:

[Sol-Att](https://github.com/kijai/ComfyUI-SolAttn_triton)

[KJNodes](https://github.com/kijai/ComfyUI-KJNodes)

[rgthree](https://github.com/rgthree/rgthree-comfy)

[EasyUse](https://github.com/yolain/ComfyUI-Easy-Use)

[VHS](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite)

[RTX Upscaler](https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI)

[LTXVideo](https://github.com/Lightricks/ComfyUI-LTXVideo)

Models Needed:

-- H3 MODELS --

[REF MODEL]

[FLF MODEL]

[TE]

[AUDIO VAE]

[VIDEO VAE]

-- LTX MODELS --

[LTX2.5 INT8]

[TEXT ENCODER]

[VIDEO VAE]

[AUDIO VAE]

[UPSCALER]

TURBO LORAS:

[LIGHTx]

[LARRY 600]

Troubleshooting:

I'm missing the LTX Nodes and i get this error, what do i do?

ImportError: cannot import name 'pad' from 'kornia.geometry.transform.pyramid' (G:\StabilityMatrix-win-x64\Data\Packages\ComfyUIClean\venv\Lib\site-packages\kornia\geometry\transform\pyramid.py)

-- downgrade Kornia in python packages to 0.8.2

The RTX Nodes are missing, even though i have them installed?

Go to your python packages and install: nvidia-vfx

I'm missing MiniMaxH3MemoryEfficientSageAttentionPatch

Update KJNodes through Github (go to your custom_nodes folder and open a git bash and type: git clone https://github.com/kijai/ComfyUI-KJNodes.git

MAKE SURE YOU ARE UPDATED LIKE SO:

Kofi: https://ko-fi.com/mrweaz

Disclaimer: I hold no liability for any images produced, including their legality, ethical implications, or potential misuse. By using this model, you agree that all responsibility for generated content rests solely with you. Use responsibly and within legal boundaries.