Is LTX Video open source and can it be used commercially?

Yes, LTX Video weights are released under the OpenRail-M license, which permits commercial use and self-hosting without per-seat licensing fees.

What are the hardware requirements for running LTX Video locally?

Running the full 13B model comfortably requires a GPU with roughly 24GB of VRAM or more, though distilled and FP8-quantized variants allow for lower resource usage.

Does LTX Video support synchronized audio generation?

Yes, the LTX-2 generation produces synchronized audio, including dialogue and motion sounds, in the same pass as the visuals rather than dubbing it on afterward.

What unique control features does LTX Video offer?

The model supports multi-keyframe conditioning, allowing users to pin the first, middle, and last frames, as well as forward and backward video extension for editorial control.

How does LTX Video compare to closed models like Sora or Runway?

While LTX Video offers open weights and local control, its output quality and prompt adherence on complex scenes currently trail closed leaders like Sora, Veo 3, and Kling.

LTX Video

✓ Editorially verified

Open-source DiT video model with synchronized audio, 4K output, and multi-keyframe control

Freemium· Model weights free under OpenRail-M (self-host). Hosted access via LTX Studio (free tier + paid plans), Fal.ai and Replicate pay-per-generation (typically fractions of a cent per second of video). Enterprise licensing available from Lightricks.VideoLTX-Video (LTX-2), in-house DiT — 13B full, 13B distilled, 2B distilled, FP8 quantized variants

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In short

LTX Video is an open-source diffusion transformer that generates video with synchronized audio, 4K resolution, and multi-keyframe control. It is best for indie filmmakers and engineers who need a commercially licensed, self-hostable video model without vendor lock-in.

Best for

Indie filmmakers, motion designers, and AI engineers who want a production-usable, commercially licensed open video model they can run locally or deploy behind their own API without vendor lock-in.

Skip if

Non-technical marketers who just want a one-click text-to-video web app, or teams that need the absolute best photorealism and prompt adherence and are happy paying closed-model prices.

LTX Video (LTXV) is an open-source diffusion transformer (DiT) video generation model developed by Lightricks, the studio behind Facetune and LTX Studio. It generates text-to-video, image-to-video, and video-to-video sequences, with the LTX-2 generation adding synchronized audio (dialogue, motion sound) produced in the same pass as the visuals rather than dubbed on afterward. The model targets creators who want local, license-clean control over generative video rather than being locked into a closed API. Weights ship under the permissive OpenRail-M license, which allows commercial use, and the repo has become one of the most-starred open video models on GitHub with tight integrations into ComfyUI, Diffusers, Fal, and Replicate. Multiple variants are published: a 13B full model for maximum quality, a 13B distilled build for faster inference at similar fidelity, a 2B distilled model for rapid iteration on consumer GPUs, and FP8-quantized checkpoints that cut VRAM further. Feature-wise, LTXV is notable for multi-keyframe conditioning (you can pin the first, middle and last frame and let the model tween), forward and backward video extension, and native 4K generation at up to 50 FPS. Typical workflows include storyboarding a short film in LTX Studio, running local ComfyUI pipelines for controlled shots, using it as a Sora/Runway alternative inside custom pipelines, and building bespoke video tooling on top of Fal or Replicate endpoints. Because it is a research-grade open model, output quality still trails the best closed systems on complex prompts, and running the 13B model well requires a serious GPU (roughly 24GB VRAM and up for comfortable use).

Editor's take

LTXV is currently the most credible open-weight answer to Runway and Sora. LTX-2's joint audio-video generation and the multi-keyframe controls are the features that actually matter for real production work, and the OpenRail-M license means you can build a product on top without a rug-pull. It is not quite at closed-model quality yet, but for anyone who wants to own their video pipeline, it is the obvious first pick.

— The AI Tool Bible editorial team

Pros

✅ Weights are genuinely open under OpenRail-M, so commercial use and self-hosting are permitted without per-seat licensing
✅ LTX-2 generates synchronized audio and video in one pass, which most open video models do not do
✅ Multi-keyframe conditioning plus forward/backward extension give real editorial control, not just single-shot prompt-to-video
✅ Distilled and FP8 variants make it feasible to run on a single consumer or prosumer GPU
✅ Native support in ComfyUI, Diffusers, Fal and Replicate means you can pick your comfort level from GUI to raw Python
✅ Backed by Lightricks (LTX Studio, Facetune), so the model is actively maintained rather than a one-off research drop
✅ Native 4K and up-to-50 FPS output puts it ahead of most other open-weight video models on raw specs

Cons

⚠️ Full 13B model needs a hefty GPU (roughly 24GB+ VRAM) for smooth local inference
⚠️ Prompt adherence and photorealism still trail closed leaders like Sora, Veo 3 and Kling on complex scenes
⚠️ Long-form consistency (multi-scene narrative, stable characters across shots) remains limited without keyframe scaffolding
⚠️ Hosted pricing on LTX Studio, Fal and Replicate varies and can add up for high-resolution, long-duration renders
⚠️ Setup outside ComfyUI (raw Diffusers or custom pipelines) has a steeper learning curve than plug-and-play SaaS video tools

Use cases

Text-to-video generationImage-to-video animationMulti-keyframe controlled shotsVideo extension and continuationVideo-to-video restylingStoryboard-to-film prototypingSynchronized dialogue and motion generationSelf-hosted generative video APIComfyUI video pipelinesIndie short-film production

Frequently asked

Is LTX Video open source and can it be used commercially?: Yes, LTX Video weights are released under the OpenRail-M license, which permits commercial use and self-hosting without per-seat licensing fees.
What are the hardware requirements for running LTX Video locally?: Running the full 13B model comfortably requires a GPU with roughly 24GB of VRAM or more, though distilled and FP8-quantized variants allow for lower resource usage.
Does LTX Video support synchronized audio generation?: Yes, the LTX-2 generation produces synchronized audio, including dialogue and motion sounds, in the same pass as the visuals rather than dubbing it on afterward.
What unique control features does LTX Video offer?: The model supports multi-keyframe conditioning, allowing users to pin the first, middle, and last frames, as well as forward and backward video extension for editorial control.
How does LTX Video compare to closed models like Sora or Runway?: While LTX Video offers open weights and local control, its output quality and prompt adherence on complex scenes currently trail closed leaders like Sora, Veo 3, and Kling.