**This is the NVFP4 versions of the LTX-2.3 model. All information below is derived from the base model.** 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.** 💾💾
This model card focuses on the model associated with the LTX-Video model, codebase available here. LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 30 FPS videos at a 1216×704 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content. - **Developed by:** Lightricks - **Model type:** Diffusion-based image-to-video generation model - **Language(s):** English
LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 30 FPS videos at a 1216×704 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content. We provide a model for both text-to-video as well as image+text-to-video usecases You can use the model for purposes under the license: - 2B version 0.9: license - 2B version 0.9.1 license - 2B version 0.9.5 license - 2B version 0.9.6-dev license - 2B version 0.9.6-distilled license - 13B version 0.9.7-dev license - 13B version 0.9.7-dev-fp8 license - Temporal upscaler version 0.9.7 license - Spatial upscaler version 0.9.7 license The model is accessible right away via the following links: - LTX-Studio image-to-video - Fal.ai text-to-video - Fal.ai image-to-video - Replicate text-to-video and image-to-video
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