alibaba/wan/2.2/text-to-video/lora
Wan 2.2 Lora by Alibaba - 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
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.2/text-to-video/loraInput Schema
6 parameters · 1 required · 5 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. |
loras | object[] | Optional | LoRA weights to be used in the inference. · Default: [] |
resolution | string | Optional | Resolution of the generated video (480p, 580p, 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 |
reverse_video | boolean | Optional | If true, the video will be reversed. · Default: false |
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": "alibaba/wan/2.2/text-to-video/lora",
"loras": [],
"prompt": "A close-up of a young woman smiling gently in the rain, raindrops glistening on her face and eyelashes. The video captures the delicate details of her expression and the water droplets, with soft light reflecting off her skin in the rainy atmosphere.",
"resolution": "720p",
"reverse_video": false
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Wan 2.2 Text to Video LoRA
Wan 2.2 Text to Video LoRA is a text-to-video route in Alibaba’s Wan family. It builds a complete moving scene from written direction, combining prompt understanding with the visual and temporal modeling needed to keep subjects, scenes, and requested changes coherent across the result.
The 2.2 LoRA configuration is designed for a specific production path rather than a generic media request. Build the brief around subject, action or transformation, environment, camera language, lighting, pacing, sound where supported, and exact preservation requirements; then use the local duration, resolution, framing, and seed controls for delivery.
Highlights
- Coherent visual generation. Coordinates subjects, environment, composition, and requested action instead of rendering prompt elements independently.
- Temporal continuity. Maintains scene logic and movement across frames for a usable moving sequence.
- Prompt-led direction. Uses written direction to define subject, action, camera, style, atmosphere, and delivery intent.
- LoRA specialization. Applies the locally configured adaptation to the exact task while retaining Wan generation behavior.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Generated duration | Configured output, per second | $0.100 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact text-to-video workflow | The intended task belongs to a different media route |
| Available source media matches every required field | Required assets or usage rights are unavailable |
| The brief can define subject, action, camera, and style | Output must be deterministic at frame or pixel level |
| Supported duration, resolution, and framing fit delivery | Final placement requires unsupported specifications |
| An asynchronous generation job fits production | A live or frame-synchronous response is mandatory |
Prompt Guide
Describe the result as a shot or design brief: identify subjects and references, state the action or transformation, specify environment and composition, then add camera behavior, lighting, pacing, style, sound, and preservation constraints where relevant. Use exact reference identifiers exposed by the local schema.
{
"prompt": "A cinematic scene with clearly directed subject action, camera movement, lighting, pacing, and atmosphere",
"seed": 1,
"loras": [],
"resolution": "480p"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.2/text-to-video/lora |
| Input fields | seed (integer)<br>loras (array)<br>prompt (string)<br>resolution (string; 480p, 720p)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>reverse_video (boolean) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.2/text-to-imagealibaba/wan/2.2/text-to-image/loraalibaba/wan/2.2/text-to-video