API reference · Lightricks

lightricks/ltx-2.3-quality/hdr

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

VIDEOAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

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

Model IDlightricks/ltx-2.3-quality/hdr

Input Schema

11 parameters · 1 required · 10 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The prompt to guide generation.
`seed`	integer	Optional	Random seed for reproducibility. If None, a random seed is chosen.
`video`	string	Optional	SDR input video to lift into HDR. This mode is video-conditioned.
`num_frames`	integer	Optional	The number of frames to generate. · Min: 9 · Max: 481 · Default: 121
`resolution`	string	Optional	Output video size. The output is generated at up to ~720p (shorter side capped at 704px); larger requested sizes are scaled down, preserving the aspect ratio. · 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
`video_quality`	string	Optional	The quality preset of the generated video. · Options: low, medium, high, maximum · Default: "high" lowmediumhighmaximum
`generate_audio`	boolean	Optional	Whether to include audio in the returned video. When disabled, the final MP4 is returned without an audio track. · Default: true
`guidance_scale`	number	Optional	Classifier-free guidance scale. The default is tuned for fast, high-quality generation. · Min: 1 · Max: 20 · Default: 1
`video_write_mode`	string	Optional	The write mode of the generated video. · Options: fast, balanced, small · Default: "balanced" fastbalancedsmall
`frames_per_second`	number	Optional	Frames per second of the generated video. · Min: 1 · Max: 60 · Default: 24
`num_inference_steps`	integer	Optional	Number of inference steps. Defaults to 15 and can be increased up to 30. · Min: 8 · Max: 30 · Default: 15

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-2.3-quality/hdr",
  "prompt": "A sunset over the Pacific Ocean, vibrant orange and purple sky, deep contrast, cinematic HDR.",
  "num_frames": 121,
  "resolution": "auto",
  "video_quality": "high",
  "generate_audio": true,
  "guidance_scale": 1,
  "video_write_mode": "balanced",
  "frames_per_second": 24,
  "num_inference_steps": 15
}'

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

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