Model reference · open weights
LTX-2.3 is an open-weight video model from vantagewithai, 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
Quantized GGUF version of Split LTX-2 checkpoint Original model Link: https://huggingface.co/Lightricks/LTX-2.3 Watch us at Youtube: @VantageWithAI 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. 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 prompts perfectly. - Prompt following is heavily influenced by the prompting-style. - The model may generate content that is inappropriate or offensive. - When generating audio without speech, the audio may be of lower quality. Train the model The base (dev) model is fully trainable. It's extremely easy to reproduce the LoRAs and IC-LoRAs we publish with the model by following the instructions on the LTX-2 Trainer Readme. Training for motion, style or likeness (sound+appearance) can take less than an hour in many settings. Citation
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | vantagewithai |
|---|---|
| Type | Video models |
| Variants | 1 |
| Runs with | diffusers |
| Released | 2026-03-05 |
| Popularity | 15k downloads / month |
| Likes | 34 |
| 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-2.3-GGUF | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys vantagewithai-ltx-2-3 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (vantagewithai-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":"vantagewithai-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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