ltx-2.3/text-to-video

POST

/openapi/v2/rhart-video/ltx-2.3/text-to-video

Lightricks' open-source text-to-video foundation model released March 2026. A new 4x larger text connector significantly improves understanding of complex prompts, with greatly enhanced accuracy in rendering multiple subjects, spatial relationships, and stylistic instructions. The rebuilt VAE delivers sharper details while an upgraded vocoder enables clearer synchronized audio generation. Supports native 1080p in both portrait and landscape formats, with multiple frame rates (24/48fps), outputting complete audio-visual content in 5-20 seconds without post-production dubbing.

Request

Authorization

Header Params

Body Params application/jsonRequired

Example

{
    "188##prompt": "First-person drone follow shot, with a freely soaring bird as the subject. The camera swiftly glides over the cityscape, synchronized with the bird's high-speed flight, delivering an immersive first-person perspective. Smooth and silky camera movements, rapidly skimming low past buildings and streets, evoking a strong sense of speed and flight immersion. Cinematic dynamic lighting, stable and steady, in 4K ultra-high-definition quality. The bird takes center stage as the visual focus, while the urban background is softly blurred, creating a fully charged atmospheric effect.",
    "247##select": "2",
    "248##select": "2",
    "227##value": 5
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://www.runninghub.ai/openapi/v2/rhart-video/ltx-2.3/text-to-video' \
--header 'Authorization: Bearer [Your API KEY]' \
--header 'Content-Type: application/json' \
--data-raw '{
    "188##prompt": "First-person drone follow shot, with a freely soaring bird as the subject. The camera swiftly glides over the cityscape, synchronized with the bird'\''s high-speed flight, delivering an immersive first-person perspective. Smooth and silky camera movements, rapidly skimming low past buildings and streets, evoking a strong sense of speed and flight immersion. Cinematic dynamic lighting, stable and steady, in 4K ultra-high-definition quality. The bird takes center stage as the visual focus, while the urban background is softly blurred, creating a fully charged atmospheric effect.",
    "247##select": "2",
    "248##select": "2",
    "227##value": 5
}'

Responses

🟢200成功

application/json

Task result query endpoint: /openapi/v2/query

Body

Examples

Submit response exampleTask success response example

{
    "taskId": "2013508786110730241",
    "status": "RUNNING",
    "errorCode": "",
    "errorMessage": "",
    "results": null,
    "clientId": "f828b9af25161bc066ef152db7b29ccc",
    "promptTips": "{\"result\": true, \"error\": null, \"outputs_to_execute\": [\"4\"], \"node_errors\": {}}"
}

Modified at 2026-04-23 02:17:48

wan-2.7/text-to-video

ltx-2.3/text-to-video-lora