Note on version 1.5

I tested the capabilities of the 10Eros Max beta5 model with my 8Gb VRAM and 16GB RAM:

1. 4 Step

   1. 0.3 MP er_sde+beta57 186s quality+

   2. 0.3 MP res_multistep+simple 196s motion+

   3. 0.4 MP er_sde+beta57 258s better sound

   4. 0.4 MP res_multistep+simple 266s motion

2. 6 Step

   1. 0.3 MP er_sde+beta57 256s

   2. 0.3 MP res_multistep+simple 275s

   3. 0.4 MP er_sde+beta57 341s

   4. 0.4 MP res_multistep+simple 340s

(Time for the first pass only, without upscaling)

Conclusion: er_sde+beta57 give better quality. res_multistep+simple give better motion.

My observations: 0.4 MP quality barely changes after the upscaling, but the video itself looks quite good.

Later I will add my mini workflow for RTX upscale and DLLS5 enhancer . Effect for realism+

MiniMax H3 + LTX-Video 2.3 Upscale— Simple Low-VRAM Workflow with Metadata

A clean and practical ComfyUI workflow designed for people with limited VRAM.
It generates video using MiniMax H3 at a very low resolution (0.2 MP), then upscales the result with LTX-Video 2.3.

You can run everything in a single pass or execute the stages one after another to keep GPU memory usage under control.

✨ Features

• 🎬 Two-stage pipeline: MiniMax H3 (low-res) → LTX 2.3 (upscale)

• 🧠 Designed for low VRAM — first pass runs at only 0.2 megapixels

• 🖼️ First Frame + Last Frame support

• ⏱️ Easy video duration control in seconds

• 🪜 Adjustable sampling steps

• 🎨 Full LoRA support through Lora Manager

• 💾 Automatic metadata embedding into the final video

• 🔄 Option to run stages together or separately (bypass groups)

🤖 Required Models

First Pass (MiniMax H3)

• Model (or any compatible MiniMax H3 model)

• Text Encoder

• Video VAE

• Audio VAE

• Preview VAE . \ComfyUI\models\vae_approx

Upscale Pass (LTX 2.3)

• Model (or any compatible LTX 2.3 model)

• Text Encoder

• Text Projection

• Video VAE

• Audio VAE

• Preview VAE

• Spatial Upscaler

The workflow is not locked to these specific models — you can swap them for other MiniMax H3 / LTX 2.3 variants.

🧩 Required Custom Nodes

Most nodes can be installed through ComfyUI Manager.

Important!

If you get an error related to Image Saver — Add Metadata to VHS Video, install ComfyUI-Image-Saver manually:

Bash

cd custom_nodes
git clone https://github.com/alexopus/ComfyUI-Image-Saver.git
cd ComfyUI-Image-Saver
pip install -r requirements.txt

Then restart ComfyUI.

You need also install my custom Node.

Just extract folder vhs_metadata_loader into \ComfyUI\custom_nodes\ and restart ComfyUI.

💾 Metadata + Civitai

One of the main goals of this workflow is proper metadata preservation.

The final video embeds:

• Prompt

• Seed

• Model information

• LoRA information

• Generation parameters

• Other workflow metadata

Civitai Video Metadata Assistant

To make use of the embedded metadata on Civitai, install the following browser extension:

Last version you can find here, and don't forget to like the author's post:

https://civarchive.com/models/2898818/civitai-video-metadata-assistant-for-uploading-videos-browser-extension

Installation instructions are here:

https://github.com/diodiogod/Civitai-Video-Metadata-Assistant

After installation, the assistant will appear on the Civitai video upload page.

It can read the metadata embedded in your generated video and automatically detect relevant information such as your LoRAs and generation data, making uploads much easier.

🚀 How to use

1 Pass

1. Enable First Pass Group. Disable Last Frame if you don´t need them.

2. Write your prompt, Set video length (in seconds), set steps.

3. Choose resolution (0.2 MP recommended for first pass)

4. Add LoRAs if needed

5. Generate

2 Pass

1. Enable Upscale Pass Group. Disable Last Frame if you don´t need them. You need to enable/disable both togehter.

2. Load generated video with Metadata.

3. Copy your prompt from 1 Pass.

4. Add LoRAs if needed

5. Generate

After bypassing groups, always check the status of the last frame, as it is turned on automatically.

It is also possible to generate everything at once; to do this, you need to remove the node responsible for switching between the 1-pass and upscaling passes.

❤️ Why this workflow?

I am the "proud" owner of a system with 8GB of VRAM and 16GB of RAM. Minimax was forbidden fruit for me, but I found a workaround. Yes, the Ltx upscaler alters the video, but in my opinion, the result is still excellent.

Some generation data on my hardware:

10s video 0.1 MP. End video 512x768

1 Pass 230s

2 Pass 200s

10s Video 0.2 MP. End Video 768x1152

1 Pass 470s

2 Pass 458s

Pure LTX 2.3 10s Video with 640x1024 take 570s

I spent a lot of time on this workflow, so I appreciate any feedback.

📌 Notes

• Results depend on the models, LoRAs, source images, prompt and settings.

• For best low-VRAM performance, keep the first pass at 0.2 MP.

• You can disable groups to run the stages one by one if your GPU is struggling.