LTX-2 is an open-source AI video generation model that creates 4K videos with synchronized audio in a single generation process. A great open alternative to OpenAI’s Sora 2 and Google’s Veo 3.1.
Released by Lightricks in October 2025, this new model can produce high-quality videos at up to 50 fps with coherent sound, dialogue, and music. All from text prompts or images.
What makes LTX-2 different is speed. The model generates a six-second Full HD video in just five seconds on consumer-grade GPUs, compared to competing models that take one to two minutes for similar outputs. This fast iteration cycle helps creators refine concepts quickly without waiting through long render times.
LTX-2 runs on high-end consumer hardware (think NVIDIA RTX 4090 or 5090), costs up to 50% less than proprietary alternatives, and will be fully open-sourced with model weights and training code by late November 2025.
Features
Synchronized Audio and Video Generation: Creates visuals and sound together in one process, so dialogue, ambience, and music align naturally with motion and actions. No separate audio generation or post-production stitching required.
Multiple Performance Modes: Three modes balance speed and fidelity: Fast mode for live previews and rapid iteration, Pro mode for balanced quality and turnaround, and Ultra mode for maximum 4K fidelity at 50 fps with synchronized audio (up to 15 seconds).
Native 4K Resolution: Outputs up to 4K at 48-50 fps with sharp textures and smooth motion. Supports both 16:9 ratio for standard video and QHD rendering.
Extended Video Length: Generates clips up to 10-15 seconds long with synchronized audio, depending on the mode. Supports video extension and keyframe-based generation for creating longer, coherent sequences.
Multi-Keyframe Conditioning: Control scene pacing, motion, and tone through multiple keyframes. Includes 3D camera logic for precise frame-level control across sequences.
Multimodal Inputs: Accepts text prompts, images, video references, depth maps, pose estimation, and audio inputs for detailed creative guidance.
LoRA Fine-Tuning: Customize the model for brand-specific styles or IP consistency using Low-Rank Adaptation, keeping visual identity stable across multiple generations.
Production Pipeline Integration: Works directly with editing suites, VFX tools, game engines, and platforms like Fal, Replicate, RunDiffusion, and ComfyUI through API access.
Efficient Compute: Runs on consumer-grade GPUs with up to 50% lower costs than competing models. The multi-GPU inference stack delivers faster-than-playback generation speeds.
Open-Source Architecture: Built on hybrid diffusion-transformer (DiT) architecture. Full model weights, training code, and example pipelines will be released on GitHub.
Use Cases
Marketing and Product Demos: Generate promotional videos, product visualizations, or branded content with synchronized voiceovers and background music. The Fast mode lets teams iterate on concepts during client calls, then switch to Ultra mode for final delivery.
Game Development and Cinematics: Transform concept art or character poses into dynamic cutscenes without building full 3D pipelines. Use keyframe conditioning to control pacing and framing, then apply LoRA fine-tuning to maintain visual consistency across scenes.
VFX and Post-Production: Automate motion tracking, rotoscoping, and plate replacement while preserving cinematic quality. The model delivers broadcast-ready composites faster than real-time and integrates with existing VFX stacks.
Pre-Visualization and Storyboarding: Simulate camera movements, lighting setups, and scene pacing before production begins. Directors can visualize storyboards with realistic motion previews and refine compositions with clients before stepping on set.
Content Restoration and Upscaling: Enhance archival footage or rough renders up to native 4K while protecting the original creative intent. The model handles interpolation and style-preserving restoration for film remastering and animation cleanup.
Social Media and Short-Form Content: Create engaging clips for Instagram, TikTok, or YouTube Shorts with synchronized audio tracks. The Fast mode generates multiple variations quickly for A/B testing different concepts.
How to Use It
LTX-2 is available through three main access points: the API (currently in gradual rollout), integration platforms like Fal and Replicate, and local deployment once the model weights are released.
Using the LTX-2 API
Request API access through the official LTX-2 website. The API offers three performance modes. Fast mode generates quick previews with extreme speed for mobile workflows and high-throughput ideation. Pro mode balances strong fidelity with fast turnaround for daily production work and marketing teams. Ultra mode (coming soon) delivers maximum fidelity up to 4K at 50 fps with synchronized audio, ideal for professional production and VFX.
After getting access, test the API through the playground environment. This lets you experiment with native 4K generation and synchronized audio before integrating into production workflows.
Using Platform Integrations
LTX-2 is available through platforms like Fal, Replicate, and ComfyUI. These integrations offer a more user-friendly interface for generating videos without needing to manage the underlying infrastructure.
Local Deployment (Coming Soon)
Full model weights and tooling will be released to GitHub in late November 2025. The deployment process will require Python 3.10.5+ and CUDA 12.2, with installation through the official repository. The model runs efficiently on high-end consumer GPUs like the NVIDIA RTX 4090 or 5090, though an H100 GPU generates 5 seconds of video in approximately 2 seconds.
The open-source release includes model weights, training code, datasets, inference tooling, and example pipelines. This lets developers fine-tune the model for custom use cases, experiment with new control methods, or integrate it into proprietary workflows.
Pros
- Speed for Iteration: You can test multiple concepts during a single meeting, get immediate feedback, and refine ideas without waiting through long render queues.
- Integrated Audio Generation: LTX-2 creates dialogue, ambient sound, and music that actually sync with the motion and actions on screen.
- Cost Efficiency: At $0.04 to $0.16 per second depending on resolution and mode, LTX-2 runs cheaper than proprietary alternatives.
- Open-Source Commitment: Full access to model weights and training code means you can customize, extend, and fine-tune without vendor lock-in.
- Production-Ready Outputs: The Ultra mode delivers actual 4K at 50 fps, not upscaled HD.
- Flexible Control Options: Multi-keyframe conditioning, 3D camera logic, depth maps, pose control, and ICLoRA models give precise control over motion, pacing, and visual style without fighting the model.
- Hardware Accessibility: Running on consumer GPUs democratizes access.
Cons
- Limited Availability: The API is currently in gradual rollout to early partners. Full open-source release won’t happen until late November 2025.
- Hardware Requirements: “Consumer-grade GPU” means high-end cards like the RTX 4090 or 5090. Lower-spec machines will struggle with higher resolutions or longer sequences, even with the quantized 8-bit models.
- Learning Curve for Advanced Features: Multi-keyframe conditioning, ICLoRA training, and LoRA fine-tuning require technical knowledge. The basic text-to-video works out of the box, but extracting maximum value needs time investment.
- Video Length Constraints: Ten to fifteen seconds is short for many production scenarios. You can extend videos through keyframe-based generation, but this adds complexity.
- Prompt Sensitivity: Like all diffusion models, LTX-2 sometimes interprets prompts in unexpected ways. Getting consistent results requires prompt refinement and understanding which descriptions the model handles well.
Related Resources
- LTX-2 Official Website: The main hub for model information, API access requests, and technical documentation.
- LTX-2 GitHub Repository: Access the source code, inference tooling, and installation instructions.
- LTX Studio Platform: The all-in-one video generation platform built on top of LTX models.
- Lightricks Blog: Official blog post announcing LTX-2 with technical details about architecture, capabilities, and roadmap.
- Lightricks Discord Community: Active community for sharing workflows, troubleshooting issues, and connecting with other developers.
FAQs
Q: What makes LTX-2 different from other AI video models?
A: LTX-2 generates synchronized audio and video in a single coherent process rather than treating them as separate tasks. It also runs significantly faster than competing models: producing a six-second Full HD video in just five seconds compared to the one-to-two minutes typical of alternatives like Sora 2. The model achieves professional 4K quality at 50 fps while running on consumer-grade GPUs and costing up to 50% less than proprietary options. The open-source commitment, including full model weights and training code, sets it apart from closed systems.
Q: Can I use LTX-2 for commercial projects?
A: Yes. LTX-2 will be released under an open license that permits commercial use. The model is trained on fully licensed data from Getty Images and Shutterstock, which means the outputs are free from copyright infringement risks. This makes it safe for commercial deployment in marketing, advertising, product demos, and client work. The licensing terms will be clearly specified when the model weights are released in late November 2025.
Q: What hardware do I need to run LTX-2 locally?
A: LTX-2 requires a CUDA-compatible GPU with substantial VRAM. High-end consumer cards like the NVIDIA RTX 4090 or 5090 can handle the workload, with the quantized 8-bit versions requiring less memory. For maximum performance, an H100 GPU generates five seconds of video in approximately two seconds. The model supports both the full 13-billion parameter version and lighter 2-billion parameter variants for devices with more limited compute resources. Python 3.10.5+ and CUDA 12.2 are required for local deployment.
Changelog
Oct 24, 2025
- Updated for LTX 2
Dec 19, 2024
- Released 0.1.2
