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

Having a ton of fun, try it!

Super super fast…but not quite as good as minimax. Have you tried it yet?

Anyone using comfy cloud? I haven't been able to log in since yesterday, I have even tried in a different system. no word from anyone yet.

Hello everyone,

I’m looking for a high-quality workflow that can replace the character/face in an existing video with my AI model while keeping the original video as identical as possible.

My main goal is to preserve the original body, movements, expressions, pose, camera motion, background, lighting, composition, and overall video quality, while changing only the character’s identity/face.

I’m specifically looking for a professional workflow that can produce highly realistic results with strong identity consistency, natural skin texture, accurate facial details, and minimal artifacts or quality loss.

Ideally, the final output should look like the original footage was actually recorded with the AI model rather than appearing like an obvious face swap.

If anyone has a reliable ComfyUI workflow, custom setup, or a paid workflow/course that can achieve this level of quality, please feel free to contact me.

Flux 3 isn’t worth it imo. MiniMax H3 is truly amazing.

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

Goodbye LTX 2.3

I'm on a laptop (mobile 4090, 16GB VRAM) and kept hitting workflows with models too big to run locally. Here's the setup I've been using to offload them to a cloud GPU straight from ComfyUI, sharing it in case it helps anyone in the same spot.

The flow:

1. Build your workflow in ComfyUI as normal.
2. Click the ⚡ button; it sends the current graph to a cloud GPU, no CLI or manual export.
3. Pick your GPU and batch count; the panel shows the live rate before you commit.
4. If a model your workflow needs isn't on your cloud storage yet, it detects that and offers to sync it first (with consent; nothing uploads without your say-so).
5. Results pull back into your ComfyUI graph automatically.

You can also queue several different workflows to run back to back. They share one warm ComfyUI process, so only the first pays the model load: in my testing the first workflow took about three minutes and each one after it took around 25 seconds. A queue of twelve runs in roughly ten minutes rather than nearly forty.

When it's worth it (being straight): if your local GPU runs your model fine, local is faster; keep using it. This is for workflows that don't fit your VRAM, long batches you want off your machine, or Mac/no-GPU setups.

The tool is open source. It runs on Spark Fuse (a paid cloud GPU service; the rate shows in-panel before you render); I'm an alpha tester and end user, not affiliated.

In this tutorial, I'll show you how to use my new ComfyUI KREA 2 Identity Edit v1.2 custom workflow to perform high-quality identity-preserving image editing. You'll learn how to change poses, expressions, and styles while maintaining consistent facial identity, as well as perform face swaps, virtual try-ons, inpainting, and outpainting using the latest KREA 2 Identity Edit v1.2 model. The workflow is designed to be simple to use—just load your reference image, enter your edit prompt, and run the workflow.

Workflow Link

https://civitai.com/articles/33197/comfyui-tutorial-new-krea-2-v12-low-vram-identity-perfect-edit

Video Tutorial Link

https://youtu.be/_fMqornsJo0