# LTX 2.3 AI Video Generator
Source: https://ltx23.app/

> LTX 2.3 is a browser-based AI video generator built on the Lightricks 22-billion-parameter open-source model for cinematic text-to-video, image-to-video, and audio-to-video creation with character consistency, realistic physics, multi-style creative control, and native portrait output.

## Brand

- Name: LTX 2.3
- Domain: https://ltx23.app/
- Contact: support@ltx23.app
- Built by: Lightricks (open-source LTX-2 model family)

## Header Navigation

- AI Image (`/text-to-image`, icon: Sparkles)
- AI Video (`/text-to-video`, icon: Clapperboard)
- AI Tool (icon: WandSparkles)
  - Background Remover (`/background-remover`, icon: WandSparkles) - remove image backgrounds and export transparent PNG assets.
- Pricing (`/pricing`, icon: Gift, badge: HOT)
- Blog (`/blog`, icon: BookOpen)

## Hero

- Title: LTX 2.3 AI Video Generator
- Highlight: LTX 2.3
- Description: Generate cinematic AI videos from text, images, or audio — LTX 2.3 delivers 22B-parameter open-source video fast.
- Workflows: Text-to-Video, Image-to-Video, Audio-to-Video, Native Portrait Video.
- CTA: Try Free Now (`/generate`, target self, icon: Zap)

## What Makes LTX 2.3 the Fastest Open-Source Video Model? (Overview)

- Summary: Built on DiT architecture with 22 billion parameters, LTX 2.3 runs 18x faster than WAN 2.2 on H100 GPUs.
- LTX 2.3 Text-to-Video Generation - Describe any scene and the model generates cinematic video with fluid motion, accurate lighting, and natural physics.
- Image-to-Video with LTX 2.3 - Upload a reference image and transform it into a dynamic video clip with smooth camera motion and lifelike animation.
- Audio-to-Video Synchronization - Feed an audio track and the AI generates matching video with tight lip-sync, beat-aligned motion, and spatial audio cues.
- Native Portrait Video at 1080x1920 - Create vertical video natively, trained on real portrait data, not cropped landscape, ideal for Reels, Shorts, and TikTok.

## Why Creators Choose LTX 2.3 (Features)

- 22 Billion Parameter DiT Engine - Built on Diffusion Transformer architecture, it delivers sharper textures, finer edges, and better detail than prior versions. Icon: RiFileImageFill.
- Expanded Text Connector (4x) - A 4x-larger text connector interprets complex prompts with spatial layout, character actions, and mood accurately in one pass. Icon: RiQuillPenFill.
- Face & Character Preservation - Consistent faces, expressions, and body proportions across frames, ideal for storytelling and multi-shot sequences. Icon: RiGalleryFill.
- Multi-Modal Generation Pipeline - Text-to-video, image-to-video, audio-to-video, video-to-video, and depth conditioning, all from one unified platform. Icon: RiComputerFill.
- Rebuilt VAE for Sharper Output - The reworked VAE and latent space produce crisper hair, cleaner edges, and better texture preservation at every resolution. Icon: RiShareCircleFill.
- Open Source & Free to Use - LTX 2.3 weights are open-source on Hugging Face, free for personal and commercial use under 10M annual revenue. Icon: RiTerminalBoxFill.

## How to Use the LTX 2.3 Video Generator in Three Steps

1. Enter Your Prompt - Describe the video you want in natural language, or upload an image or video clip as a creative reference.
2. Set Your Parameters - Choose video duration, aspect ratio, and output quality to match your creative vision and target platform.
3. Generate and Download - Click generate, wait a moment, then download your high-definition AI video ready to publish anywhere.

## Use Cases

- Cinematic Video - Professional AI-generated videos with film-grade lighting and realistic motion.
- Creative Artwork - Generate unique video content in any visual style with character consistency.
- Product Content - Create stunning product videos for e-commerce and advertising.
- Social Media Content - Generate eye-catching vertical and landscape video for any platform.

## Testimonials

- Jordan Vance (Film Director): LTX 2.3 generates cinematic b-roll that drops straight into my timeline without any post-processing needed.
- Linda Wu (Marketing Head): Our team launches ad campaigns ten times faster since we started generating video assets with the LTX 2.3 model.
- Chen Wei (Motion Designer): The physics simulation in LTX 2.3 is incredible — water, cloth, and light all behave naturally without manual VFX compositing.
- Sarah Jenkins (Content Creator): With LTX 2.3 I generate vertical AI video clips for TikTok and Reels that consistently outperform anything I filmed on my phone.
- Aisha Patel (UX Designer): I upload app mockups and the image-to-video mode animates them into polished walkthrough demos in minutes.
- Marcus Rivera (Brand Designer): LTX 2.3 turned a single product photo into a full commercial spot — our stock footage subscription is cancelled.
- Emma Zhang (Social Media Manager): The multi-style engine handles anime, cinematic, and photorealistic content — no need to switch between different tools.
- David Park (Game Developer): Creating game trailers with LTX 2.3 saves weeks of animation work and the output rivals hand-crafted cinematics.
- Rachel Kim (E-commerce Manager): With LTX 2.3 we generate product videos at catalog scale for a fraction of what traditional studios charge — the ROI is massive.
- Tom Eriksen (Filmmaker): The LTX 2.3 image-to-video feature brought my storyboard frames to life with cinema-grade motion and perfect continuity.
- Sofia Morales (Brand Strategist): We produced localized video ads for five markets in a single afternoon — the audio-to-video sync is remarkably accurate.
- Ryan Nakamura (Video Producer): Switching to LTX 2.3 cut our production costs in half while doubling our total creative output volume.

## FAQ

- What is LTX 2.3? LTX 2.3 is a 22-billion-parameter open-source AI video model built by Lightricks on the Diffusion Transformer (DiT) architecture. It supports text-to-video, image-to-video, audio-to-video, and video-to-video generation with native portrait output, rebuilt VAE, and a 4x-expanded text connector for more accurate prompt interpretation. Model weights are available on Hugging Face for both dev and distilled checkpoints.
- Do I need a powerful GPU or local desktop setup? No. On ltx23.app all rendering happens in the cloud — no local GPU, VRAM, or desktop installation required. If you prefer running locally, LTX 2.3 supports ComfyUI workflows and GGUF/FP8 quantized formats for lower hardware requirements. The recommended local setup is an NVIDIA GPU with 32 GB+ VRAM, 32 GB RAM, and 60 GB storage on Windows.
- How does LTX 2.3 compare to other video models like WAN 2.2? On H100 GPUs, the LTX 2 series achieves roughly 18x the throughput of WAN 2.2 14B, making it significantly faster for batch rendering. LTX 2.3 also introduces native 9:16 portrait video, a reworked audio vocoder, and sharper edge detail from its rebuilt latent space — improvements not yet matched by most competing open-source models.
- What video specs does the model support? Videos render at up to 1080p HD in 16:9, 9:16, 1:1, and 4:3 aspect ratios with durations from 4 to 20 seconds including audio-synced output. LTX 2.3 is the first in its line to support native vertical 1080x1920, trained on real portrait data rather than cropped landscape. Prompts accept up to 2,000 characters for detailed scene descriptions.
- Is LTX 2.3 free to use? Yes. New accounts on ltx23.app receive free credits to try AI video generation. After that, you can purchase additional credits or subscribe to a plan to keep creating. Subscription plans offer volume discounts for frequent creators.
- Can I use LTX 2.3 outputs commercially? Yes. Videos generated on ltx23.app include full commercial rights — no watermarks, no royalty fees. The open-source license also permits commercial use of locally generated outputs for qualifying organizations, covering advertising, social media, broadcast, and print.
- Which model formats and workflows are available? LTX 2.3 is available as a base checkpoint, distilled checkpoint with LoRA, FP8 scaled variant, and GGUF quantized format. It integrates directly with ComfyUI for custom workflows including first-and-last-frame control, spatial upscaler, depth conditioning, and IC-LoRA motion tracking. All weights are downloadable from Hugging Face.
- How do I get started with LTX 2.3? Create a free account on ltx23.app, enter a text prompt describing your video, optionally upload a reference image or audio, set parameters like duration and aspect ratio, then click generate. Your video is ready to download in moments — no video editing or AI expertise required.

## Gallery (LTX 2.3 AI Video Gallery)

- Try LTX 2.3 - Macro ant scene with cinematic detail and natural motion.
- Try AI Video - Girl portrait with natural expression and cinematic lighting.
- Try Text-to-Video - Ocean waves with realistic water physics and ambient lighting.
- Try LTX 2.3 - Car travel scene with smooth camera motion and depth of field.
- Try Image-to-Video - Fashion model generation with photorealistic detail and fluid motion.
- Try Portrait Video - AI-generated cinematic scene with studio-quality lighting.
- Try LTX 2.3 - Anime cat character animation with smooth motion and vibrant colors.
- Try AI Generator - Coordinated scene demo with cinematic composition.

## Call to Action

- Title: Start Generating with LTX 2.3 — Free AI Video Online
- Description: Create your first AI video free — enter a text prompt and let the LTX 2.3 model handle the rest.
- Button: Try Free Now (`/generate`, target self, icon: Zap)

## Languages

This homepage is available in: English (https://ltx23.app/), Español (https://ltx23.app/es), Français (https://ltx23.app/fr), Português (https://ltx23.app/pt), Italiano (https://ltx23.app/it), Deutsch (https://ltx23.app/de), Nederlands (https://ltx23.app/nl), Dansk (https://ltx23.app/da), Norsk Bokmål (https://ltx23.app/nb), Polski (https://ltx23.app/pl), Türkçe (https://ltx23.app/tr), Русский (https://ltx23.app/ru), العربية (https://ltx23.app/ar), ไทย (https://ltx23.app/th), Bahasa Indonesia (https://ltx23.app/id), 日本語 (https://ltx23.app/ja), 한국어 (https://ltx23.app/ko), 简体中文 (https://ltx23.app/zh), 繁體中文 (https://ltx23.app/hk), Suomi (https://ltx23.app/fi), Crnogorski (https://ltx23.app/me), Kiswahili (https://ltx23.app/sw).

## Page: LTX 2.3 Distilled (https://ltx23.app/ltx-2-3-distilled)

- URL: https://ltx23.app/ltx-2-3-distilled
- Title: LTX 2.3 Distilled Free: Fast AI Video Generator | LTX 2.3
- Description: Generate cinematic AI video with LTX 2.3 Distilled — the fast 8-step open-source model by Lightricks. Turn text, images, and audio into video. Try it free now.
- H1: LTX 2.3 Distilled — Fast 8-Step AI Video Generation
- Generator: browser-based LTX 2.3 video generator (text-to-video, image-to-video, audio-to-video); free credits for new users.
- What it is: LTX 2.3 Distilled is the 8-step, speed-optimized checkpoint of the LTX 2.3 model, distilled from the full 22B model by Lightricks. It runs at ~8 denoising steps (CFG 1.0) vs 20-40 for dev, generating several times faster with a smaller VRAM footprint and only a minor loss of fine detail.
- Features: 8-step fast inference; low-VRAM GGUF builds (Q4_K_M ≈18GB, Q3 ≈12GB); full text/image/audio-to-video pipeline; runs on consumer GPUs; ComfyUI two-stage workflow + LTX Desktop ready; open-source and free under the LTX Model License (<$10M revenue).
- Use cases: rapid prompt iteration, batch short-form content, local generation on consumer GPUs, real-time previsualization.
- How to use: 1) enter prompt or upload image/audio; 2) keep steps low (~8, defaults optimized); 3) generate and download.
- Variants comparison: Dev (20-40 steps, fine-tuning/research) vs Distilled (~8 steps, fast); Distilled vs Fast vs Pro; GGUF builds by VRAM; Dev + distilled LoRA (CFG ~4, 20 steps) for a speed/quality balance.
- FAQ covers: what LTX 2.3 Distilled is, difference from dev, why it is faster, VRAM requirements, retained input modes, where to get it (Hugging Face, community GGUF, ComfyUI, LTX Desktop), quality trade-off, free-to-use terms.
- CTA: Try Free Now (`/generate`), View Pricing (`/pricing`).
- Language: English.

## Legal

- Privacy Policy: https://ltx23.app/privacy-policy
- Terms of Service: https://ltx23.app/terms-of-service
- Refund Policy: https://ltx23.app/refund-policy
### Is LTX 2.3 Free? License and Real Costs Explained
URL: https://ltx23.app/blog/is-ltx-2-3-free
LTX 2.3 is free to download, but the license has a revenue threshold. Here is what the LTX-2 Community License actually says and what running it really costs.

### LTX Desktop: Run LTX 2.3 Locally Without ComfyUI
URL: https://ltx23.app/blog/ltx-2-3-desktop
LTX Desktop runs LTX 2.3 locally on NVIDIA GPUs and Apple Silicon, with an API fallback. Hardware thresholds, the free key, LoRA rules and traps.

### LTX 2.3 Distilled vs Dev: Which Checkpoint to Use
URL: https://ltx23.app/blog/ltx-2-3-distilled-vs-dev
LTX 2.3 distilled vs dev explained: step counts, CFG, which pipelines require which checkpoint, the 1.0 vs 1.1 difference, and a workflow that uses both.

### LTX 2.3 Download: Every Official File Explained
URL: https://ltx23.app/blog/ltx-2-3-download
A complete LTX 2.3 download guide: every official safetensors file, exact sizes, which ones you actually need, and the folder each one belongs in.

### LTX 2.3 FP8: The Official Quantization Path
URL: https://ltx23.app/blog/ltx-2-3-fp8
How LTX 2.3 FP8 quantization works: fp8-cast vs fp8-scaled-mm, the allocator flag you must set, ComfyUI FP8 builds, and where INT8, NVFP4 and GGUF fit.

### LTX 2.3 GitHub: Every Official Repo Explained
URL: https://ltx23.app/blog/ltx-2-3-github
A map of the LTX 2.3 GitHub and Hugging Face repositories: the LTX-2 monorepo packages, LTX Desktop, the ComfyUI integration, and which one to open for what.

### LTX 2.3 Image to Video: Setup and Consistency Fixes
URL: https://ltx23.app/blog/ltx-2-3-image-to-video
How LTX 2.3 image to video works: the I2V and FLF2V workflows, keyframe conditioning, why faces drift, and the frame and resolution rules that break runs.

### LTX 2.3 Inpainting, Retake and Extend Explained
URL: https://ltx23.app/blog/ltx-2-3-inpaint
What LTX 2.3 can actually edit: temporal retakes with region masks, video and audio extension, and where inpainting really lives in the codebase.

### LTX 2.3 Lip Sync: Talking Video and Audio Sync
URL: https://ltx23.app/blog/ltx-2-3-lip-sync
Four ways to get lip-synced video from LTX 2.3, plus modality_scale, the guidance term built purely for audio-visual sync. Full setup and settings.

### LTX 2.3 LoRA: IC-LoRA, ID-LoRA, and Training Your Own
URL: https://ltx23.app/blog/ltx-2-3-lora
Every official LTX 2.3 LoRA, what IC-LoRA and ID-LoRA actually do, how to stack them at the right strength, and the real hardware cost of training your own.

### LTX 2.3 Motion Control: Camera LoRAs and IC-LoRA
URL: https://ltx23.app/blog/ltx-2-3-motion-control
Three layers of motion and camera control in LTX 2.3: prompt language, dedicated camera-move LoRAs, and IC-LoRA guidance, plus the STG parameter.

### LTX 2.3 Prompt Guide: Write Prompts That Work
URL: https://ltx23.app/blog/ltx-2-3-prompt-guide
The official LTX 2.3 prompt structure, why 200 words is the ceiling, how to prompt synchronized audio and dialogue, and the prompt enhancer explained.

### LTX 2.3 Resolutions and Frame Count Rules
URL: https://ltx23.app/blog/ltx-2-3-resolutions
Why LTX 2.3 needs resolutions divisible by 32 and frame counts on the 8k+1 pattern, how two-stage upscaling changes your target, and how to plan clip length.

### LTX 2.3 Spatial Upscaler: Two-Stage Rendering
URL: https://ltx23.app/blog/ltx-2-3-spatial-upscaler
What the LTX 2.3 spatial upscaler does, why it is not an ESRGAN-style post-process, which file to download (x2 1.1 vs x1.5), and where the temporal upscaler fits.

### LTX 2.3 System Requirements: VRAM and GPU Guide
URL: https://ltx23.app/blog/ltx-2-3-system-requirements
What LTX 2.3 really needs: VRAM by precision, the official FP8 and offload flags, Python and CUDA versions, training requirements, and where Mac and AMD stand.

### LTX 2.3 VAE, Vocoder and Text Projection Explained
URL: https://ltx23.app/blog/ltx-2-3-vae
LTX 2.3 has two VAEs — video and audio — plus a 24 kHz vocoder and a Gemma text encoder. Here is what each does and why the official repo ships no separate VAE file.

### LTX 2.3 Video Engine: Architecture Explained
URL: https://ltx23.app/blog/ltx-2-3-video-engine
Inside the LTX 2.3 video engine: a 48-layer dual-stream transformer with separate video and audio streams, two VAEs, a 24 kHz vocoder, and Gemma 3 text encoding.

### LTX 2.3 Video to Video: IC-LoRA and Retakes
URL: https://ltx23.app/blog/ltx-2-3-video-to-video
How LTX 2.3 video-to-video actually works: the IC-LoRA pipeline and its distilled-only rule, structural control from depth and pose, HDR linear output, and retakes.

### LTX 2.3 vs Wan 2.2: Which Should You Run?
URL: https://ltx23.app/blog/ltx-2-3-vs-wan-2-2
LTX 2.3 vs Wan 2.2 compared on what matters: native audio, licensing thresholds, single-GPU feasibility, and which one fits your hardware and your legal situation.

### LTX 2.3 Workflow: All Six ComfyUI Templates
URL: https://ltx23.app/blog/ltx-2-3-workflow
A breakdown of every official LTX 2.3 workflow in ComfyUI — T2V, I2V, FLF2V, IA2V, IC-LoRA and ID-LoRA — which checkpoint each one needs and when to use it.

### LTX 2.5 ComfyUI: The Three Native Workflows Explained
URL: https://ltx23.app/blog/ltx-2-5-comfyui
LTX 2.5 in ComfyUI: the three official workflows (T2V, I2V, FLF2V), every model file and its folder, the gated-repo access step, and what int8 means for your VRAM.

### LTX 2.5 Distilled vs Dev: The Two Checkpoints
URL: https://ltx23.app/blog/ltx-2-5-distilled-vs-dev
LTX 2.5 distilled vs dev transformers: the fixed 8-step schedule of the distilled checkpoint, the trainable dev model, and which one each pipeline and workflow expects.

### LTX 2.5 Download: The Gated Repo, Split Files, and Where They Go
URL: https://ltx23.app/blog/ltx-2-5-download
LTX 2.5 download guide: access to the gated Hugging Face repo, every official file in the split pack, the ~66 GiB Quick Start set, and where each file goes.

### LTX 2.5 LoRA: What Carries Over from 2.3 and What's New
URL: https://ltx23.app/blog/ltx-2-5-lora
LTX 2.5 LoRA compatibility: which 2.3 LoRAs carry over, the distilled LoRA and detailing IC-LoRA that ship with 2.5, and what version-locking means for your stack.

### LTX 2.5 Multishot: How It Works and How to Use It
URL: https://ltx23.app/blog/ltx-2-5-multishot
LTX 2.5 multishot explained: what connected shots actually are, how identity and voice persist across cuts, and how to write prompts that produce usable multi-scene output.

### LTX 2.5 Prompt Guide: Multishot, Audio, and the Gemma 4 Encoder
URL: https://ltx23.app/blog/ltx-2-5-prompt-guide
LTX 2.5 prompt guide: how the Gemma 4 12B encoder changes prompting, when to use the prompt enhancer, and the shot-list structure that makes multishot and audio output work.

### LTX 2.5 System Requirements: VRAM, GPU, and the int8 8 GB Path
URL: https://ltx23.app/blog/ltx-2-5-system-requirements
LTX 2.5 system requirements: what the official docs actually require, how the int8 and NVFP4 builds change the VRAM math, and what runs on 8 GB-class consumer GPUs.

### LTX 2.5 VAE: The Diffusion Decoder, the Conv Fallback, and the Audio VAE
URL: https://ltx23.app/blog/ltx-2-5-vae
LTX 2.5 has three official VAEs: a diffusion video decoder for quality, a conv VAE for speed, and an audio VAE with vocoder. Which to use, when.

### LTX 2.5 vs LTX 2.3: Should You Upgrade?
URL: https://ltx23.app/blog/ltx-2-5-vs-ltx-2-3
LTX 2.5 vs LTX 2.3 compared on the three decisions that matter: multishot continuity, file and LoRA incompatibility, and the speed of the new distilled path.

### Is LTX 2.5 Free? License, the $10M Threshold, and API Costs
URL: https://ltx23.app/blog/is-ltx-2-5-free
LTX 2.5 licensing: the LTX-2.x Community License, the $10M revenue threshold, the fine-tune transfer clause, and what the official API costs per second.