API reference · Alibaba

alibaba/wan/2.2/image-to-video/lora

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

VIDEOAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDalibaba/wan/2.2/image-to-video/lora

Input Schema

8 parameters · 2 required · 6 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped.
`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: []
`end_image`	string	Optional	URL of the end image.
`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, or timeout
Retrieve — Read outputs from 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/image-to-video/lora",
  "image": "https://static.sandbase.ai/examples/alibaba/wan/2.2/image-to-video/lora/input_image_0.png",
  "loras": [],
  "prompt": "Cars racing in slow motion",
  "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"

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