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LTX-Video is the first DiT-based video generation model that can generate high-quality videos in *real-time*.
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It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them.
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The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos
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with realistic and diverse content.
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LTX-Video is the first DiT-based video generation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access. It can generate up to 50 FPS videos at native 4K resolution with synchronized audio in one pass.
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The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content.
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The model supports image-to-video, keyframe-based animation, video extension (both forward and backward), video-to-video transformations, and any combination of these features.
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The model supports image-to-video, multi-keyframe conditioning, keyframe-based animation, video extension (both forward and backward), video-to-video transformations, and any combination of these features.
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### Image-to-video examples
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# News
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## October 23, 2025: LTX-2 Announced
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Today we announced our newest foundation model, LTX-2. LTX-2 represents a major leap forward from our previous model, LTXV 0.9.8. Here’s what’s new:
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***Audio + Video, Together**: Visuals and sound are generated in one coherent process, with motion, dialogue, ambience, and music flowing simultaneously.
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***4K Fidelity**: Professional-grade precision with native 4K and up to 50 fps, sharp textures, clean motion, and synchronized audio.
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***Longer Generations**: LTX-2 supports longer, continuous clips with synchronized audio up to 10 seconds.
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***Low Cost & Efficiency**: Up to 50% lower compute cost than competing models, powered by a multi-GPU inference stack.
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***Creative Control**: Multi-keyframe conditioning, 3D camera logic, and LoRA fine-tuning deliver frame-level precision and style consistency.
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For more details, please see our [blog post](https://website.ltx.video/blog/introducing-ltx-2). LTX-2 model weights, code, and benchmarks will be released to the community later in 2025.
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## July, 16th, 2025: New Distilled models v0.9.8 with up to 60 seconds of video:
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- Long shot generation in LTXV-13B!
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* LTX-Video now supports up to 60 seconds of video.
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- Support text-to-video and image-to-video generation
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...is welcome! If you have a project or tool that integrates with LTX-Video,
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please let us know by opening an issue or pull request.
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# ⚡️ Training
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# Training
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We provide an open-source repository for fine-tuning the LTX-Video model: [LTX-Video-Trainer](https://github.com/Lightricks/LTX-Video-Trainer).
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This repository supports both the 2B and 13B model variants, enabling full fine-tuning as well as LoRA (Low-Rank Adaptation) fine-tuning for more efficient training. This includes:
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Explore the repository to customize the model for your specific use cases!
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More information and training instructions can be found in the [README](https://github.com/Lightricks/LTX-Video-Trainer/blob/main/README.md).
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# 🎬 Control Models
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# Control Models
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[ComfyUI-LTXVideo](https://github.com/Lightricks/ComfyUI-LTXVideo) repository now contains workflows and models for 3 specialized models that enable precise control over LTX-Video generation:
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Pose Control, Depth Control and Canny Control
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**Example ComfyUI Workflow (for all control types):**[ic-lora.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/ic_lora/ic-lora.json)
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# 🚀 Join Us
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# Join Us
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Want to work on cutting-edge AI research and make a real impact on millions of users worldwide?
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