lightricks/ltx-2.3-fast/text-to-video
Ltx 2.3 Fast by Lightricks - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runlightricks/ltx-2.3-fast/text-to-videoInput Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to use for the generated video · Min length: 1 · Max length: 5000 |
duration | integer | Optional | The duration of the generated video in seconds. The fast model supports 6-20 seconds. Note: Durations longer than 10 seconds (12, 14, 16, 18, 20) are only supported with 25 FPS and 1080p resolution. · Options: 6, 8, 10, 12, 14, 16, 18, 20 · Default: 6 68101214161820 |
resolution | string | Optional | The resolution of the generated video · Options: 1080p, 1440p, 2160p · Default: "1080p" 1080p1440p2160p |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
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, ortimeout - Retrieve — Read
outputsfrom 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-fast/text-to-video",
"prompt": "Drone descent through the open oculus of a derelict Soviet-era radio telescope dish, spiraling downward into the rusted parabolic bowl where a lone botanist catalogs wildflowers growing through cracked concrete, her red jacket the only color against oxidized metal and grey sky, 24mm on a caged FPV drone, the descent creating a vertigo spiral, Tarkovsky Stalker zones of alien beauty reclaiming technology, science swallowed by nature",
"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"API README
LTX 2.3 Fast Text to Video
LTX 2.3 Fast Text to Video is a text-to-video creation endpoint in the LTX 2.3 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 fast route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.
In practice, this route accepts a written prompt as creative context and exposes duration, resolution, aspect ratio, 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
- Scene built from language. No source image is required: the prompt defines subject, action, environment, camera, light, and temporal progression.
- Purposeful camera direction. Camera movement can be written directly into the shot prompt alongside action and staging.
- Native soundtrack option.
generate_audiocan request sound as part of the same generated scene. - Fast-route duration matrix. The schema offers 6–20 second choices; clips above 10 seconds are restricted to 1080p at 25 FPS, while shorter clips can use the documented higher resolutions. For
lightricks/ltx-2.3-fast/text-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 * 0.16 : params.resolution == "1440p" ? params.duration * 0.08 : params.duration * 0.04.
| Configuration | Price |
|---|---|
| duration=6, resolution=1080p | $0.240000 |
| duration=6, resolution=1440p | $0.480000 |
| duration=6, resolution=2160p | $0.960000 |
| duration=8, resolution=1080p | $0.320000 |
| duration=8, resolution=1440p | $0.640000 |
| duration=8, resolution=2160p | $1.280000 |
| duration=10, resolution=1080p | $0.400000 |
| duration=10, resolution=1440p | $0.800000 |
| duration=10, resolution=2160p | $1.600000 |
| duration=12, resolution=1080p | $0.480000 |
| duration=14, resolution=1080p | $0.560000 |
| duration=16, resolution=1080p | $0.640000 |
| duration=18, resolution=1080p | $0.720000 |
| duration=20, resolution=1080p | $0.800000 |
The model card records a base price of $0.040000; the formula above determines usage-priced requests.
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for text-to-video creation, rather than a neighboring generation mode. |
| Prepare the source | Provide a precise written brief 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 text-to-video creation, 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": "Drone descent through the open oculus of a derelict Soviet-era radio telescope dish, spiraling downward into the rusted parabolic bowl where a lone botanist catalogs wildflowers growing through cracked concrete, her red jacket the only color against oxidized metal and grey sky, 24mm on a caged FPV drone, the descent creating a vertigo spiral, Tarkovsky Stalker zones of alien beauty reclaiming technology, science swallowed by nature",
"duration": 6,
"resolution": "1080p",
"aspect_ratio": "21:9",
"generate_audio": true
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | lightricks/ltx-2.3-fast/text-to-video |
| Required inputs | prompt |
| Execution | Asynchronous generation job |
| Request controls | 5 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
prompt | string; Required |
duration | integer; Optional; Options: 6, 8, 10, 12, 14, 16, 18, 20; Default: 6 |
resolution | string; Optional; Options: 1080p, 1440p, 2160p; Default: "1080p" |
aspect_ratio | string; Optional; Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |
generate_audio | boolean; Optional; Default: true |

