API reference · Alibaba
alibaba/wan/2.2/5b/fast/text-to-video
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
alibaba/wan/2.2/5b/fast/text-to-video01
Input Schema
13 parameters · 1 required · 12 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt to guide video generation. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
num_frames | integer | Optional | Number of frames to generate. Must be between 17 to 161 (inclusive). · Min: 17 · Max: 161 · Default: 81 |
resolution | string | Optional | Resolution of the generated video (580p or 720p). · Options: 480p, 580p, 720p · Default: "720p" 480p580p720p |
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 output video. Higher quality means better visual quality but larger file size. · Options: low, medium, high, maximum · Default: "high" lowmediumhighmaximum |
guidance_scale | number | Optional | Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality. · Min: 1 · Max: 10 · Default: 3.5 |
video_write_mode | string | Optional | The write mode of the output video. Faster write mode means faster results but larger file size, balanced write mode is a good compromise between speed and quality, and small write mode is the slowest but produces the smallest file size. · Options: fast, balanced, small · Default: "balanced" fastbalancedsmall |
frames_per_second | integer | Optional | Frames per second of the generated video. Must be between 4 to 60. When using interpolation and `adjust_fps_for_interpolation` is set to true (default true,) the final FPS will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If `adjust_fps_for_interpolation` is set to false, this value will be used as-is. · Min: 4 · Max: 60 · Default: 24 |
interpolator_model | string | Optional | The model to use for frame interpolation. If None, no interpolation is applied. · Options: none, film, rife · Default: "film" nonefilmrife |
num_interpolated_frames | integer | Optional | Number of frames to interpolate between each pair of generated frames. Must be between 0 and 4. · Min: 0 · Max: 4 · Default: 0 |
adjust_fps_for_interpolation | boolean | Optional | If true, the number of frames per second will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If false, the passed frames per second will be used as-is. · Default: true |
enable_output_safety_checker | boolean | Optional | If set to true, output video will be checked for safety after generation. · Default: false |
02
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
03
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": "alibaba/wan/2.2/5b/fast/text-to-video",
"prompt": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k",
"num_frames": 81,
"resolution": "720p",
"video_quality": "high",
"guidance_scale": 3.5,
"video_write_mode": "balanced",
"frames_per_second": 24,
"interpolator_model": "film",
"num_interpolated_frames": 0,
"adjust_fps_for_interpolation": true,
"enable_output_safety_checker": false
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"
