Generate Cinematic AI Videos with LTX 2.3
Stop fighting complex pipelines. Get precise camera control, matching audio, and vertical outputs designed for modern social storytelling.
Prompt workspace
Model mode
Task
Resolution
Duration
Aspect ratio
FPS
Camera motion
Generate audio
For text and image workflows.
Cost
6 credits
Preview
LTX 2.3 showcase examples for common video styles
Four common directions: fast motion, close-up texture, vertical storytelling, and audio-aware scenes.
Fast cinematic motion
Quick motion studies for ads, hooks, and opening shots
Good for ad hooks, teaser intros, and product-led openings.
Macro texture retention
Detail-first scenes where surfaces must stay believable
Shows texture retention during motion, especially for product close-ups and beauty footage.
Portrait-first social content
Vertical storytelling that feels made for phones, not cropped later
Built for portrait-first storytelling on Reels, Shorts, and TikTok.
Native audio sync
Scenes where timing between motion and sound changes the feel
Best for scenes where sound is part of the storytelling.
What makes LTX 2.3 useful for AI video
These are the capabilities that most affect control and publishability.
DiT architecture with better temporal reasoning
Helps motion and timing stay more coherent.
Longer, clearer natural-language prompting
It responds better when the prompt reads like direction, not a bag of tags, so camera, subject, and sound cues can stay in one prompt.
Native audio awareness
Audio is not just a post-production afterthought here. The model can align prompt-level sound intent with visual events more naturally than many older pipelines.
Native portrait support
If your end use is Shorts or Reels, being able to think in a vertical frame from the start saves composition quality and wasted renders.
Fast or Pro depending on the job
Fast is better when you are exploring ideas. Pro makes more sense when you need richer texture retention or a more polished final pass.
Built for repeatable creative workflows
Better for repeated testing, refinement, and final renders.
How to use LTX 2.3 without writing bad prompts
Four steps are enough for most projects.
Step 1
Start with one scene and one goal
Decide whether the clip is meant to sell a mood, show a product, tell a short story, or create a vertical social moment. The clearer the goal, the better the prompt.
Step 2
Describe visible motion in active language
Use verbs that imply real action: walks, drifts, turns, pans, pushes in. Avoid vague style-only prompts if you want the scene to move with intent.
Step 3
Add image or framing guidance only when it helps
For image-to-video or portrait output, mention framing, subject placement, and transitions that support the shot rather than repeating what is already obvious.
Step 4
Use Fast to iterate and Pro to finish
Treat Fast as the exploration layer and Pro as the final polish layer. That gives you speed early and quality where it counts.
Advanced prompting patterns for LTX 2.3
Copy the pattern, then adapt it to your own scene.
Macro photography for surfaces, moisture, fabric, and skin detail
Use this when you want the shot to feel tactile. The camera stays disciplined, the subject movement stays limited, and the prompt invests more detail in what the surface should feel like.
Camera
Extreme close-up with a subtle push-in to keep attention on texture.
Lighting
Soft studio light with controlled highlights so droplets and label embossing stay readable.
Motion
Only a slow hand rotation and droplet movement, which helps detail survive.
Audio
Low-key ambient hum plus soft contact sound to reinforce realism.
Output intent
Best for product marketing, beauty footage, and tactile brand content.
Prompt template
A macro lens extreme close-up of condensation gathering on the curved surface of a chilled glass bottle as a hand rotates it slowly under soft studio light. The camera pushes in very slightly while tiny droplets merge, slide, and catch highlights. The label texture remains sharp, the background stays creamy and out of focus, and the ambient sound is a quiet studio hum with the soft friction of fingertips against cold glass.
LTX 2.3 use cases with clear creative value
Common scenes for products, storytelling, interiors, and sound-led clips.
Faceless content
ASMR and satisfying motion clips with sound-aware prompts
Useful for ASMR, satisfying loops, and faceless content with clear timing beats.
Product and beauty
Close-up product scenes where texture sells the shot
If the product value lives in gloss, texture, droplets, embossed packaging, or skin detail, a model that smears detail during motion is a bad fit. This is where LTX 2.3 becomes more than a generic video toy.
Interior and architecture
Room makeover and transition clips from a clear visual anchor
For interior creators, design channels, and real-estate marketers, the main need is not surreal motion. It is keeping spatial structure stable enough that a before-and-after transformation still feels believable.
Short-form branding
Portrait-first story clips for founder brands and social campaigns
Good for founder brands, educational content, and mobile-first short narratives.
Choose a credits pack by baseline Fast 1080p 6s volume
Starter covers about 20 clips, Creator about 53, and Studio about 120.
Starter Pack
Pack size
120 credits
- Purchased credits do not expire
- Commercial use allowed
- Credits added right after payment
Creator Pack
Pack size
320 credits
- Purchased credits do not expire
- Commercial use allowed
- Credits added right after payment
Studio Pack
Pack size
720 credits
- Purchased credits do not expire
- Commercial use allowed
- Credits added right after payment
LTX 2.3 FAQs
Answers to the most common questions.
LTX 2.3 is an open-weight video generation model from Lightricks. In practice, people care about it because it combines text-to-video control, stronger temporal coherence, native audio awareness, and useful portrait output options in one workflow.
Use one natural paragraph instead of a long list of tags. Describe the subject, the action, the camera move, the lighting, and any sound event you want the clip to respect. Specific motion language usually works better than vague style words.
For most creators, shorter clips are easier to keep clean and useful. Native portrait support makes 9:16 especially practical for mobile distribution, while 16:9 still works well for cinematic masters and landscape storyboarding.
It is a strong fit for short-form creators, product marketers, designers, educators, and anyone who needs AI video that can move from testing into real publishing. The value is higher when prompt control and output framing matter.
Yes. One of the reasons people compare LTX 2.3 favorably in some workflows is that audio intent can be written directly into the prompt, helping the final clip feel more coherent instead of being stitched together later.
Yes. If your main distribution target is Shorts, Reels, or TikTok, native portrait support is a practical advantage because the scene can be framed for the phone from the start rather than awkwardly cropped after rendering.
The family has evolved over time, but for most users the important distinction is capability and usability. LTX 2.3 is the more current direction when you want stronger prompting guidance, better overall output behavior, and creator-oriented features like audio and portrait support.
Choose based on the job, not brand loyalty. Wan 2.2 is often discussed for strong image-to-video quality and broader model variants, while LTX 2.3 stands out when you care about speed, natural-language prompting, native audio intent, and vertical-first creator workflows. The better tool depends on whether your priority is final fidelity, experimentation speed, or distribution format.
Try LTX 2.3 with your own prompt
Go back to the hero workspace, test a scene, switch between Fast and Pro, and start shaping a clip that fits your project.