Model reference · open weights
LTX-2 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 Model Card This model card focuses on the LTX-2 model, as presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. The codebase is available here. LTX-2 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://www.youtube.com/watch?v=8fWAJXZJbRA) Model Checkpoints Model Details - Developed by: Lightricks - Model type: Diffusion-based audio-video foundation model - Language(s): English Online demo LTX-2 is accessible right away via the following links: - LTX-Studio text-to-video - LTX-Studio image-to-video 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 is supported in the Diffusers Python library for text & image-to-video generation. Read more on LTX-2 with diffusers here. Use with diffusers To achieve production quality generation, it's recommended to use the two-stage generation pipeline. Example for 2-stage inference of text-to-video: For more inference examples, including generation with the distilled checkpoint, visit here. 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
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Lightricks |
|---|---|
| Type | Video models |
| Parameters (lead) | 18.9B |
| Variants | 1 |
| Runs with | diffusers |
| Released | 2026-01-03 |
| Popularity | 381k downloads / month |
| Likes | 1,776 |
| 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.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| LTX-2 | 18.9B | BF16 | ~43.4 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys ltx-2 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ltx-2 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","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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