LTX-2.3
Open-source 4K AI video generation with synchronized audio at 50 FPS
About
LTX-2.3 is Lightricks' 22-billion-parameter open-source Diffusion Transformer model that generates native 4K video at up to 50 FPS with synchronized audio — all from text, images, or audio prompts in a single pass. Released in early 2026, it is the first truly open-weight production-grade model competitive with closed commercial systems like Google Veo and OpenAI Sora. Run it locally on a 12 GB VRAM GPU, use the fal.ai API at $0.06/second, or access the no-code LTX Studio. Four model checkpoints cover different speed/quality trade-offs: dev (full quality), distilled (8-step fast inference), and separate spatial and temporal upscalers. Native 9:16 portrait support makes it ideal for TikTok, Reels, and YouTube Shorts. LoRA fine-tuning support enables custom character and style consistency. Generates up to 20 seconds per clip with last-frame interpolation for seamless multi-clip workflows. Deployable via ComfyUI, Replicate, HuggingFace diffusers, or a pre-built desktop app requiring no Python setup.
Key Features
- 4K resolution at up to 50 FPS with synchronized audio in one model
- Text-to-video, image-to-video, audio-to-video, video extend, and video retake modes
- Apache 2.0 open weights — free for local use and commercial fine-tuning under $10M revenue
- LoRA fine-tuning for custom characters and style consistency
- Spatial (x1.5, x2) and temporal (x2 FPS) upscaler checkpoints
- ComfyUI, fal.ai API, Replicate, HuggingFace diffusers, and desktop app support
Use Cases
- 1Product demo videos from a single image at 4K quality
- 2Social media shorts with native 9:16 portrait support for TikTok and Reels
- 3Film and animation pre-visualization for storyboard-to-video pipelines
- 4AI-narrated educational content with synchronized visuals and audio
- 5Developer AI video SaaS products on top of open Apache 2.0 weights
Pros
- Industry-leading 4K resolution at 50 FPS — only open model at this spec
- Native audio generation synchronized with video in one model
- 7 API endpoints covering every video workflow
- LoRA fine-tuning and upscaler checkpoints for post-processing
- Active ecosystem: ComfyUI, Replicate, fal.ai, desktop app
Cons
- Audio quality not yet competitive with dedicated tools like ElevenLabs for music or voice
- 12 GB VRAM minimum — no CPU inference path currently
- AMD/Apple Silicon support is experimental and slower
- 20-second clip limit per generation
- Companies over $10M revenue need a paid commercial license
Get Started
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Details
- Category
- video
- Pricing
- freemium