LTX-2 already runs inside ComfyUI’s core. ComfyUI-LTXVideo is where Lightricks puts everything else: ready-made workflows, control LoRAs and a handful of specialised nodes for things like HDR output and dubbing. If you generate video in ComfyUI and use LTX models, this is the pack the model’s own authors maintain.
| Repository | Lightricks/ComfyUI-LTXVideo |
| Maintainer | Lightricks |
| Primary language | Python |
| GitHub stars | 4,129 (as of 15 September 2026) |
| Last push | 20 August 2026 |
| License status | Unverified — see below |
What it does
The repository is a set of custom nodes and example workflows for the LTX-2 family of video models. The README lists workflows for LTX-2.3 covering text- or image-to-video in one or two stages (the two-stage versions add upsampling), plus older LTX-2.0 workflows for text-to-video, image-to-video and a video-to-video detailer.
Beyond the basics, the pack documents several IC-LoRA add-ons:
- Union control — one LoRA that accepts depth or edge (canny) maps, working on downsampled latents to cut memory use.
- HDR — generates linear HDR video encoded in ARRI LogC3, with an optional 16/32-bit EXR sequence export for grading.
- Dub-It — takes a source video and new dialogue text, then regenerates lip movement and audio, either translating or rephrasing while keeping the speaker’s voice.
- Pixel spatial upscaler — 2× and 4× variants that re-render low-resolution clips with generated detail. The README is explicit that this is a creative upsampler, not a pixel-accurate one.
Who it’s for
- ComfyUI users who already work with LTX video models and want the maintainer’s reference workflows.
- Post-production people interested in HDR/EXR output or AI dubbing inside a node graph.
Getting started
According to the README, you need ComfyUI installed, a CUDA-compatible GPU with 32GB or more of VRAM, and at least 100GB of free disk space for models and cache. Installation goes through ComfyUI Manager: open the Manager, choose Install Custom Nodes, search for “LTXVideo”, install and restart. The nodes then appear under an “LTXVideo” category, and the required models download on first use. Example workflows are installed to ComfyUI/custom_nodes/ComfyUI-LTXVideo/example_workflows/.
License status
Unverified. GitHub could not match this project’s license file to a standard open-source license (it reports NOASSERTION). The Signal has not reviewed the terms. Read the license file yourself before any commercial use, redistribution or fine-tuning — and note that the LTX models the nodes download may carry their own separate terms.
Limitations and open questions
- The 32GB+ VRAM requirement puts it out of reach of most consumer GPUs.
- 119 open issues on GitHub as of 15 September 2026.
- We have not run these workflows; quality and speed claims in this profile are the maintainer’s descriptions, not our measurements.
Sources
- GitHub repository and README
- License file
- Main LTX-2 repository (linked from the README)
More open video tooling: ComfyUI · Video Generation.
This profile was drafted with AI assistance from the project’s public repository and reviewed by The Signal’s editors before publication. See our AI Disclosure.
