lightricks/ltx-video-v095
Ltx Video V095 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-video-v095Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | Text prompt to guide generation |
seed | integer | Optional | Random seed for generation |
resolution | string | Optional | Resolution of the generated video (480p or 720p). · Options: 480p, 720p · Default: "720p" 480p720p |
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 |
num_inference_steps | integer | Optional | Min: 2 · Max: 50 · Default: 40 |
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-video-v095",
"prompt": "A cute cat walking on a sidewalk",
"resolution": "720p",
"num_inference_steps": 40
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
LTX Video-0.9.5
LTX Video-0.9.5 is a LTX route built for generative media creation. It turns a focused creative brief and the route-specific inputs into a production-ready media result, giving creators a focused endpoint instead of forcing one generic workflow across materially different production tasks. The route belongs to a family known for audio-visual timing, cinematic motion, and shot-level controllability, 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 seed (Random seed for generation); resolution choices (480p, 720p); 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 iterative film, advertising, and social-video workflows without hiding the operational choices that shape the result.
Highlights
- Purpose-built Generative media creation. The route accepts a focused creative brief and the route-specific inputs and produces a production-ready media result; its interface is scoped to that transformation, keeping source assets and creative intent explicit.
- Creative direction. Prompts can describe subject behavior, composition, camera intent, lighting, material, atmosphere, and temporal progression so the result is driven by a shot plan rather than isolated keywords.
- Route-specific control. The request exposes seed (Random seed for generation); resolution choices (480p, 720p); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16), allowing the same concept to be tested systematically while preserving a repeatable production setup.
- Pipeline-ready output. The generated media asset is returned through the documented asynchronous output contract, which suits review queues, batch iteration, and downstream automation. Editors can review pacing, continuity, lens language, choreography, transitions, temporal artifacts, soundtrack alignment, color response, delivery framing, and cut compatibility before approval.
Pricing
| Configuration | Price |
|---|---|
| Standard request | $0.040000 |
When to Use
| Scenario | Why this model fits |
|---|---|
| Create the exact route output | Choose it when you need generative media creation and already have a focused creative brief and the route-specific inputs. |
| 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 production-ready media result. |
| 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 generative media creation, 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 cute cat walking on a sidewalk",
"seed": 1,
"resolution": "720p",
"aspect_ratio": "21:9",
"num_inference_steps": 40
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | lightricks/ltx-video-v095 |
| Workflow | Generative media creation |
| Required inputs | prompt |
seed | integer |
prompt | string |
resolution | string; options: 480p, 720p |
aspect_ratio | string; options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |
num_inference_steps | integer; minimum: 2; maximum: 50 |