Model reference · open weights
LTX-2.3 is an open-weight video model from Lightricks, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
LTX-2.3 Model Card This model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. 💻💻 If you want to dive in right to the code - it is available here. 💾💾 LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. [](https://youtu.be/o-7us-BRgQ) Model Checkpoints Model Details - Developed by: Lightricks - Model type: Diffusion-based audio-video foundation model - Language(s): English Online demo LTX-2.3 is accessible right away via the API Playground. Run locally Direct use license You can use the models - full, distilled, upscalers and any derivatives of the models - for purposes under the license. ComfyUI We recommend you use the built-in LTXVideo nodes that can be found in the ComfyUI Manager. For manual installation information, please refer to our documentation site. PyTorch codebase The LTX-2 codebase is a monorepo with several packages. From model definition in 'ltx-core' to pipelines in 'ltx-pipelines' and training capabilities in 'ltx-trainer'. The codebase was tested with Python =3.12, CUDA version 12.7, and supports PyTorch ~= 2.7. Installation Inference To use our model, please follow the instructions in our ltx-pipelines package. Diffusers 🧨 LTX-2.3 support in the Diffusers Python library is coming soon! General tips: Width & height settings must be divisible by 32. Frame count must be divisible by 8 + 1. In case the resolution or number of frames are not divisible by 32 or 8 + 1, the input should be padded with -1 and then cropped to the desired resolution and number of frames. For tips on writing effective prompts, please visit our Prompting guide Limitations - This model is not intended or able to provide factual information. - As a statistical model this checkpoint might amplify existing societal biases. - The model may fail to generate videos that matches the
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Lightricks |
|---|---|
| Type | Video models |
| Variants | 3 |
| Runs with | diffusers |
| Released | 2026-03-04 |
| Popularity | 1.3M downloads / month |
| Likes | 1,854 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys ltx-2-3 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ltx-2-3 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ltx-2-3","prompt":"a drone shot over a forest"}'
Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗
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