Ltx 2.3 Extend

Ltx 2.3 Extend

Playground

LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model, with improved audio and visual quality as well as enhanced prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

LTX-2.3 Image-to-Video

LTX-2.3 is a significant update to the LTX-2 model, featuring improved audio and visual quality with enhanced prompt adherence. As a DiT-based (Diffusion Transformer) audio-video foundation model, it animates your input image into a high-fidelity video with synchronized audio generated in a single pass.

Why Choose This?

• Improved quality Enhanced audio and visual quality compared to LTX-2, with better prompt adherence and more coherent outputs.

• Image-conditioned video with audio Transforms a static image into a moving video with synchronized audio in a single model pass.

• Preserves input composition Maintains the subject, framing, and lighting of your reference image while adding natural motion.

• DiT-based architecture Built on Diffusion Transformer technology for detailed, temporally consistent video generation.

• Variable duration Generate clips from 1 to 20 seconds.

Parameters

How to Use

1. Upload your video — the reference video that defines subject, composition, and lighting.
2. Write your prompt — describe the motion, camera movement, and audio cues.
3. Set duration — 1-20 seconds based on your content needs.
4. Run — submit and download the animated video with synchronized audio.

Pricing

Best Use Cases

• Product Animation — Bring product photos to life with subtle motion and ambient audio.
• Portrait Animation — Animate headshots and portraits with natural movement.
• Social Media — Create engaging animated content from static images.
• Marketing — Transform key visuals into video ads with cohesive sound.
• Storytelling — Animate storyboard frames or concept art.

Pro Tips

• Audio is automatic — sound is generated based on visual motion and prompt context.
• Describe specific audio when needed (e.g., “rain”, “jazz”, “crowd noise”).
• Use high-quality, sharp, well-exposed images for best results.
• Keep motion prompts simple — one clear action per prompt yields better results.
• Iterate at 480p to dial in motion, then render at higher resolution for final output.
• Use fixed seed when comparing prompt variations to isolate changes.

Notes

• Maximum video duration is 20 seconds.
• Width & height must be divisible by 32, frame count must be divisible by 8 + 1.
• The aspect ratio of output video is influenced by your input image.
• For longer content, generate multiple clips and edit together.

Related Models

• LTX-2.3 Text-to-Video — Generate video with audio from text only.
• LTX-2 19B Image-to-Video — Previous generation model.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/extend" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"