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Ltx 2.3 Image To Video

Ltx 2.3 Image To Video

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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.

  • Flexible resolution Supports 480p, 720p, and 1080p outputs to balance quality and cost.

  • Variable duration Generate clips from 5 to 20 seconds.


Parameters

ParameterRequiredDescription
imageYesReference image to animate (JPG or PNG)
promptYesText description of motion, action, and audio cues
resolutionNoOutput resolution: 480p, 720p (default), or 1080p
durationNoVideo length in seconds (5-20)
seedNoRandom seed for reproducibility (-1 for random)

Resolution Options

ResolutionBest For
480pFast previews, iteration, lowest cost
720pBalanced quality and cost (default)
1080pFinal delivery, maximum detail

How to Use

  1. Upload your image — the reference image that defines subject, composition, and lighting.
  2. Write your prompt — describe the motion, camera movement, and audio cues.
  3. Select resolution — 480p for iteration, 720p for balance, 1080p for final output.
  4. Set duration — 5-20 seconds based on your content needs.
  5. Run — submit and download the animated video with synchronized audio.

Pricing

Resolution5s10s15s20s
480p$0.10$0.20$0.30$0.40
720p$0.15$0.30$0.45$0.60
1080p$0.20$0.40$0.60$0.80

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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "resolution": "720p",
    "duration": 5,
    "seed": -1
}'

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

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The image for the generation.
promptstringYes-The positive prompt for the generation.
resolutionstringNo720p480p, 720p, 1080pVideo resolution.
durationintegerNo55 ~ 20The duration of the generated media in seconds.
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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