Video dubbing AI that translates speech into another language and adjusts lip movements. Built as a small 2.5 GB LoRA on LTX 2.3, reported to outperform methods like HeyGen. Code and model released.
Video dubbing method that adapts LTX 2.3 with a LoRA to translate speech and re-sync lips in a single model.
Updated EU status checked Last shown
Just Dub It at a glance
- What is Just Dub It?
- Just Dub It is a model. Video dubbing method that adapts LTX 2.3 with a LoRA to translate speech and re-sync lips in a single model.
- Does Just Dub It work in the EU?
- Available in the EU. Reported as a downloadable code and model release with no regional restrictions found, so usable anywhere including the EU; the base LTX 2.3 license terms were not checked. Last verified 14 Nov 2026.
- How much does Just Dub It cost?
- Open source. Code and model reportedly released free of charge (per a YouTube review); not verified on the provided pages. Running it requires the LTX 2.3 base model.
- Where was Just Dub It shown?
- In 1 creator video by AI Search. Most recently by AI Search on 17 May 2026, at 0:58 in “Real gundams, top 3D generator, open-source world models, ChatGPT updates, new TTS: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
JUST-DUB-IT is a research approach to video-to-video dubbing from the authors of the LTX audio-visual diffusion model line (Lightricks-affiliated researchers and Tel Aviv University collaborators). It adapts a pretrained joint audio-video diffusion model (LTX 2.3) with a lightweight LoRA. Given an input video, the model generates translated speech and matching facial motion together, instead of chaining separate translation, voice-cloning and lip-sync tools.
Training data is synthesized by the base model itself. It generates clips with a language switch partway through, then inpaints the face and audio in each half to match the other half's language, producing paired multilingual videos of the same speaker. Latent-aware masking limits motion leakage, and a structured cross-attention bias keeps audio and video signals from leaking into each other.
The project page compares results against LatentSync, X-Dub and HeyGen (the latter using ElevenLabs voice cloning) and reports better voice preservation, lip synchronization and naturalness. Examples cover French, Spanish and German. A YouTube review describes the LoRA as about 2.5 GB with code and model released, but the provided pages did not list repository or weights links, so those are unverified here. The paper is arXiv 2601.22143.
- Single-model dubbing via a lightweight LoRA on LTX 2.3
- Generates translated audio and synchronized facial motion jointly
- Preserves speaker identity and voice without external voice-cloning tools
- Self-generated synthetic training pairs using language-switching and inpainting
- Compared against LatentSync, X-Dub and HeyGen on the project page
As seen on YouTube
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