API reference · Lightricks
lightricks/ltx-2-19b/image-to-video
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
lightricks/ltx-2-19b/image-to-video01
Input Schema
19 parameters · 2 required · 17 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | The URL of the image to generate the video from. |
prompt | string | Required | The prompt used for the generation. |
fps | number | Optional | The frames per second of the generated video. · Min: 1 · Max: 60 · Default: 25 |
seed | integer | Optional | The seed for the random number generator. |
end_image | string | Optional | The URL of the image to use as the end of the video. |
num_frames | integer | Optional | The number of frames to generate. · Min: 9 · Max: 481 · Default: 121 |
video_size | string | Optional | The size of the generated video. · Options: auto, square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 · Default: "auto" autosquare_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9 |
camera_lora | string | Optional | The camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. · Options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none · Default: "none" dolly_indolly_outdolly_leftdolly_rightjib_upjib_downstaticnone |
video_quality | string | Optional | The quality of the generated video. · Options: low, medium, high, maximum · Default: "high" lowmediumhighmaximum |
generate_audio | boolean | Optional | Whether to generate audio for the video. · Default: true |
guidance_scale | number | Optional | The guidance scale to use. · Min: 1 · Max: 10 · Default: 3 |
image_strength | number | Optional | The strength of the image to use for the video generation. · Min: 0 · Max: 1 · Default: 1 |
use_multiscale | boolean | Optional | Whether to use multi-scale generation. If True, the model will generate the video at a smaller scale first, then use the smaller video to guide the generation of a video at or above your requested size. This results in better coherence and details. · Default: true |
video_write_mode | string | Optional | The write mode of the generated video. · Options: fast, balanced, small · Default: "balanced" fastbalancedsmall |
camera_lora_scale | number | Optional | The scale of the camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. · Min: 0 · Max: 1 · Default: 1 |
video_output_type | string | Optional | The output type of the generated video. · Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: "X264 (.mp4)" X264 (.mp4)VP9 (.webm)PRORES4444 (.mov)GIF (.gif) |
end_image_strength | number | Optional | The strength of the end image to use for the video generation. · Min: 0 · Max: 1 · Default: 1 |
num_inference_steps | integer | Optional | The number of inference steps to use. · Min: 8 · Max: 50 · Default: 40 |
interpolation_direction | string | Optional | The direction to interpolate the image sequence in. 'Forward' goes from the start image to the end image, 'Backward' goes from the end image to the start image. · Options: forward, backward · Default: "forward" forwardbackward |
02
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, ortimeout - Retrieve — Read
outputsfrom the completed response
03
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-2-19b/image-to-video",
"fps": 25,
"image": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/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.",
"num_frames": 121,
"video_size": "auto",
"camera_lora": "none",
"video_quality": "high",
"generate_audio": true,
"guidance_scale": 3,
"image_strength": 1,
"use_multiscale": true,
"video_write_mode": "balanced",
"camera_lora_scale": 1,
"video_output_type": "X264 (.mp4)",
"end_image_strength": 1,
"num_inference_steps": 40,
"interpolation_direction": "forward"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"
