luma/ray-2/text-to-video
Ray 2 is Luma's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition.
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/runluma/ray-2/text-to-videoInput Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | Min length: 3 · Max length: 5000 |
duration | string | Optional | The duration of the generated video · Options: 5s, 9s · Default: "5s" 5s9s |
resolution | string | Optional | The resolution of the generated video (720p costs 2x more, 1080p costs 4x more) · Options: 540p, 720p, 1080p · Default: "540p" 540p720p1080p |
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 |
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": "luma/ray-2/text-to-video",
"prompt": "A herd of wild horses galloping across a dusty desert plain under a blazing midday sun, their manes flying in the wind; filmed in a wide tracking shot with dynamic motion, warm natural lighting, and an epic.",
"duration": "5s",
"resolution": "540p"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Luma Ray 2 Text to Video
Luma Ray 2 Text to Video is a Luma route built for text-to-video generation. It turns a shot description with subject, action, camera, and atmosphere into a coherent video interpretation of the written direction, giving creators a focused endpoint instead of forcing one generic workflow across materially different production tasks. The route belongs to a family known for natural motion, strong prompt interpretation, and cinematic camera behavior, so it is best evaluated as a creative system for intentional shots and assets rather than as a one-click novelty generator.
Use this endpoint when the input contract and deliverable match that job exactly. Its documented controls include duration choices (5s, 9s); resolution choices (540p, 720p, 1080p); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16). Together, these controls help teams plan predictable iterations, compare outputs under stable settings, and connect generation to concept films, campaign visuals, and rapid shot exploration without hiding the operational choices that shape the result.
Highlights
- Luma Ray 2 Text to Video: dedicated prompt-driven video generation. This exact route centers on prompt-driven video generation; it uses
promptto separate its job from neighboring endpoints in the same family. durationcontrol. options5s,9s; this setting provides a concrete lever for route-specific output planning.resolutioncontrol. options540p,720p,1080p; use it to build controlled comparisons without changing the rest of the request.aspect_ratiocontrol. options21:9,16:9,3:2,4:3,5:4,1:1,4:5,3:4,2:3,9:16; together with the other documented fields, it supports repeatable review of this model path.
Pricing
| Configuration | Price |
|---|---|
| Standard request | $0.500000 |
When to Use
| Scenario | Why this model fits |
|---|---|
| Create the exact route output | Choose it when you need text-to-video generation and already have a shot description with subject, action, camera, and atmosphere. |
| Develop controlled variations | Keep the main brief fixed while changing one documented setting at a time to compare motion, framing, quality, or asset behavior. |
| Build repeatable batches | Use a consistent request shape for catalog, campaign, storyboard, game-asset, or social-content production. |
| Preserve source intent | Prefer this route when the supplied reference material must remain the foundation of a coherent video interpretation of the written direction. |
| Connect a media pipeline | Use asynchronous results in an automated review, approval, post-production, or asset-management workflow. |
Prompt Guide
Start with the desired result, then describe the source relationship, subject action, composition or camera behavior, lighting, style, and timing. For text-to-video generation, state what must remain stable as clearly as what should change. Use only fields exposed by the schema; the example below is structurally valid for this route.
{
"prompt": "A herd of wild horses galloping across a dusty desert plain under a blazing midday sun, their manes flying in the wind; filmed in a wide tracking shot with dynamic motion, warm natural lighting, and an epic.",
"duration": "5s",
"resolution": "540p",
"aspect_ratio": "21:9"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | luma/ray-2/text-to-video |
| Workflow | Text-to-video generation |
| Required inputs | prompt |
prompt | string |
duration | string; options: 5s, 9s |
resolution | string; options: 540p, 720p, 1080p |
aspect_ratio | string; options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |