Model reference · open weights
LTX-2.3 is an open-weight video model from FenomAI, 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
This is a GGUF quantized version of LTX-2.3. <br unsloth/LTX-2.3-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. - Important layers are upcasted to higher precision. - Uses tooling from ComfyUI-GGUF by city96. There are two sets of GGUF's published. One for the dev model and one for the distilled. The distilled model is optimized for few step generation, think 4-8 steps. dev on the other hand needs more steps at least 20, but you get better outputs. The distilled variant is useful as a drafting model or a refining model. In fact the workflow published below, uses the distilled lora on top of the dev model to refine the intial output. Workflow Download the mp4 in the repo and open it with ComfyUI. The workflow to reproduce the video is embedded in the file. To install ComfyUI To download the model files used Then launch ComfyUI, make sure you're using an up to date version of ComfyUI and all custom nodes. 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 defini
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | FenomAI |
|---|---|
| Type | Video models |
| Variants | 1 |
| Runs with | ggml |
| Based on | Lightricks/LTX-2.3 |
| Released | 2026-06-21 |
| Popularity | 12k downloads / month |
| Likes | 1 |
| 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-DISTILLED | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys fenomai-ltx-2-3 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (fenomai-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":"fenomai-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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