meituan/longcat-video/text-to-video/480p
Longcat Video 480p by meituan - 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/runmeituan/longcat-video/text-to-video/480pInput Schema
10 parameters · 1 required · 9 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to guide the video generation. |
fps | integer | Optional | The frame rate of the generated video. · Min: 1 · Max: 60 · Default: 15 |
seed | integer | Optional | The seed for the random number generator. |
num_frames | integer | Optional | The number of frames to generate. · Min: 17 · Max: 961 · Default: 162 |
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 |
video_quality | string | Optional | The quality of the generated video. · Options: low, medium, high, maximum · Default: "high" lowmediumhighmaximum |
guidance_scale | number | Optional | The guidance scale to use for the video generation. · Min: 1 · Max: 10 · Default: 4 |
video_write_mode | string | Optional | The write mode of the generated video. · Options: fast, balanced, small · Default: "balanced" fastbalancedsmall |
video_output_type | string | Optional | The output type of the generated video. · Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: "X264 (.mp4)" X264 (.mp4)VP9 (.webm)PRORES4444 (.mov)GIF (.gif) |
num_inference_steps | integer | Optional | The number of inference steps to use for the video generation. · Min: 8 · 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": "meituan/longcat-video/text-to-video/480p",
"fps": 15,
"prompt": "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions.",
"num_frames": 162,
"video_quality": "high",
"guidance_scale": 4,
"video_write_mode": "balanced",
"video_output_type": "X264 (.mp4)",
"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
LongCat Video
LongCat Video Text to Video 480p turns a complete written shot specification into a low-resolution video proxy. It is the economical full-model text route for exploring subject staging, action timing, camera movement, and aspect ratio before a production team invests in larger frames. With no source image to carry visual assumptions, the prompt should name concrete visible events and keep the sequence simple enough to judge clearly at 480p.
The endpoint exposes fps, total frames, aspect ratio, guidance, inference steps, quality level, write mode, and four output containers. Its 480p ceiling makes it well suited to previsualization, prompt A/B tests, and large candidate pools, while the absence of refinement-step control keeps the workflow lean. Compare story and motion rather than microscopic detail, then transfer an approved brief to the 720p route for closer review.
Highlights
- 480p proxy-first text generation. This route renders written scene direction at a fixed 480p target, making broad prompt and motion exploration economical before an HD pass.
- Lean generation controls.
num_inference_steps,guidance_scale,num_frames, andfpsexpose the main trade-offs for fast preview creation without a separate refinement stage. - Composition across delivery shapes. Ten
aspect_ratiochoices cover cinematic, square, landscape, and portrait proxies while preserving the route's 480p review purpose. - Review-friendly encodes. X264, VP9, ProRes 4444, and GIF outputs plus fast, balanced, or small write modes let teams tailor proxies to browser review, editing, or lightweight sharing.
Pricing
| Configuration | Price |
|---|---|
| Billing rule | params.duration * 0.025 |
| Formula-priced request | Starts from $0.025000; final charge follows the billing rule above |
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": "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions.",
"fps": 15,
"seed": 1,
"num_frames": 162,
"aspect_ratio": "21:9"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | meituan/longcat-video/text-to-video/480p |
| Workflow | Text-to-video generation |
| Required inputs | prompt |
fps | integer; minimum: 1; maximum: 60 |
seed | integer |
prompt | string |
num_frames | integer; minimum: 17; maximum: 961 |
aspect_ratio | string; options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |
video_quality | string; options: low, medium, high, maximum |
guidance_scale | number; minimum: 1; maximum: 10 |
video_write_mode | string; options: fast, balanced, small |
video_output_type | string; options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) |
num_inference_steps | integer; minimum: 8; maximum: 50 |

