lightricks/ltx-2.0-pro/image-to-video

Name: LTX 2.0 Pro Image to Video
Author: Lightricks

Ltx 2.0 Pro by Lightricks - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation.

Input

Prompt(string)

The prompt to generate the video from

Image URL or upload(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the image to generate the video from. Must be publicly accessible or base64 data URI. Supports PNG, JPEG, WebP, AVIF, and HEIF formats.

This field is required.

Resolution(string)

The resolution of the generated video Allowed values: 1080p, 1440p, 2160p.

Duration(integer)

The duration of the generated video in seconds Allowed values: 6, 8, 10.

Generate Audio(boolean)

Whether to generate audio for the generated video

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDlightricks/ltx-2.0-pro/image-to-video

Input Schema

5 parameters · 2 required · 3 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the image to generate the video from. Must be publicly accessible or base64 data URI. Supports PNG, JPEG, WebP, AVIF, and HEIF formats.
`prompt`	string	Required	The prompt to generate the video from · Min length: 1 · Max length: 5000
`duration`	integer	Optional	The duration of the generated video in seconds · Options: 6, 8, 10 · Default: 6 6810
`resolution`	string	Optional	The resolution of the generated video · Options: 1080p, 1440p, 2160p · Default: "1080p" 1080p1440p2160p
`generate_audio`	boolean	Optional	Whether to generate audio for the generated video · Default: true

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "lightricks/ltx-2.0-pro/image-to-video",
  "image": "https://static.sandbase.ai/examples/lightricks/ltx-2.0-pro/image-to-video/input_image_0.jpg",
  "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket.",
  "duration": 6,
  "resolution": "1080p",
  "generate_audio": true
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to LTX 2.0 Pro Image to Video

API README

LTX 2.0 Pro Image to Video

LTX 2.0 Pro Image to Video is a image-to-video animation endpoint in the LTX 2.0 family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The production route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.

In practice, this route accepts image as creative context and exposes duration, resolution, generate audio for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.

Highlights

Still-image animation. The required image is treated as the opening visual state; the prompt describes the movement that should unfold from it.
Directed landing frame. The first image and motion prompt are kept separate so composition can remain stable while action changes.
Source-adherence control. Frame-count or duration controls define how long the still-image animation develops.
LTX 2.0 Pro delivery-aware motion. The route exposes output size, aspect ratio, resolution, or frame controls documented in its request schema. This is the dedicated LTX 2.0 Pro task route. For lightricks/ltx-2.0-pro/image-to-video, this task-specific control is documented alongside the route’s own required inputs.

Pricing

The request price is calculated with params.resolution == "2160p" ? params.duration * 0.24 : params.resolution == "1440p" ? params.duration * 0.12 : params.duration * 0.06.

Configuration	Price
duration=6, resolution=1080p	`$0.360000`
duration=6, resolution=1440p	`$0.720000`
duration=6, resolution=2160p	`$1.440000`
duration=8, resolution=1080p	`$0.480000`
duration=8, resolution=1440p	`$0.960000`
duration=8, resolution=2160p	`$1.920000`
duration=10, resolution=1080p	`$0.600000`
duration=10, resolution=1440p	`$1.200000`
duration=10, resolution=2160p	`$2.400000`

The model card records a base price of $0.060000; the formula above determines usage-priced requests.

When to Use

Scenario	Recommendation
Choose this route	Use it when the deliverable specifically calls for image-to-video animation, rather than a neighboring generation mode.
Prepare the source	Provide image in the format described by the request schema.
Direct the shot	Describe the subject, action, environment, camera movement, lighting, and temporal progression in that order.
Control continuity	Use endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose.
Plan delivery	Set duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported.

Prompt Guide

For image-to-video animation, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.

{
  "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket.",
  "image": "https://static.sandbase.ai/examples/lightricks/ltx-2.0-pro/image-to-video/input_image_0.jpg",
  "duration": 6,
  "resolution": "1080p",
  "generate_audio": true
}

Technical Specs

Specification	Value
Model ID	`lightricks/ltx-2.0-pro/image-to-video`
Required inputs	`prompt`, `image`
Execution	Asynchronous generation job
Request controls	5 documented fields
Output	`url`, `content_type`

Request fields

Field	Type and constraints
`image`	string; Required
`prompt`	string; Required
`duration`	integer; Optional; Options: 6, 8, 10; Default: 6
`resolution`	string; Optional; Options: 1080p, 1440p, 2160p; Default: "1080p"
`generate_audio`	boolean; Optional; Default: true