LTX VIDEO

LTX-Video: Real-Time High-Quality Video Generation with Character Consistency and Multi-Image Referencing

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Key Features of LTX VIDEO

Real-Time Performance

Generate 24 FPS videos at 768x512 resolution faster than you can watch them, thanks to LTX VIDEO’s DiT-based architecture optimized for efficiency.

High Compression with Fine Detail

Employs an advanced Video-VAE with 1:192 spatiotemporal downscaling, ensuring high-quality output without sacrificing runtime efficiency or consistency.

Versatile Text-to-Video & Image-to-Video

Easily create videos from a detailed prompt or by using an image reference, making LTX VIDEO suitable for various creative applications and storytelling.

Scalable & Open-Source

LTX VIDEO’s open-source nature allows developers to fine-tune and customize it for specific projects, with LoRA support and pipeline parallelism for seamless multi-GPU setups.

Optimized for Speed and Efficiency

LTX VIDEO leverages cutting-edge optimization techniques, generating 720x480 videos in under a minute even on mid-tier GPUs like the RTX 4060. Enjoy up to 3x faster performance with the 8-bit optimized version, LTX-VideoQ8.

Seamless Fine-Tuning and Customization

Fine-tune LTX VIDEO for specific use cases with LoRA support and Diffusion-Pipe. Adapt the model to your unique needs by integrating custom nodes and workflows through ComfyUI or Diffusers.

Frequently Asked Questions

What is LTX VIDEO?

LTX VIDEO is a DiT-based video latent diffusion model designed to generate high-resolution videos in real time, offering text-to-video and image-to-video capabilities.

How fast can LTX VIDEO generate videos?

LTX VIDEO can produce 5 seconds of 24 FPS video at 768×512 resolution in just 2 seconds on an NVIDIA H100, surpassing other models in speed and efficiency.

Does LTX VIDEO require specialized hardware?

Although LTX VIDEO is optimized for NVIDIA GPUs, it can run on most GPUs with at least 8GB of VRAM. Performance scales with higher-end hardware, enabling ultra-fast generation.

How do I install LTX VIDEO locally?

Clone the official GitHub repository, create a Python virtual environment, and install the dependencies. Then download the model checkpoints and start generating videos using the provided inference scripts.

Is LTX VIDEO open-source?

Yes. In line with Lightricks’ open-collaboration philosophy, the source code and pre-trained models are available publicly, encouraging community contributions and enhancements.

Can I fine-tune LTX VIDEO for specific use cases?

Absolutely. LTX VIDEO supports LoRA-based training and pipeline parallelism for multi-GPU setups, allowing creators to tailor the model to their unique needs and domains.

Which resolutions work best with LTX VIDEO?

LTX VIDEO performs optimally at resolutions divisible by 32, and frame counts divisible by 8+1 (e.g., 257). For best results, it’s recommended to stay under 720×1280.

What if I want to generate longer videos?

LTX VIDEO supports extended frame sequences and is built for scalability, allowing you to generate longer videos with smooth transitions and coherent scenes.

What kind of prompts should I use with LTX VIDEO?

Detailed, cinematic prompts describing action, environment, and lighting yield the best results. Be thorough and chronological, as if mapping out a film shot-by-shot.

Where can I find additional support or resources?

Check the official LTX VIDEO GitHub repository, join community discussion forums, or consult the README and issue tracker for troubleshooting and advanced tips.