alibaba/wan/2.2/fun-control
Wan 2.2 Fun Control is Alibaba's video-to-video AI model. Transform, enhance, and edit video content using text prompts - from style changes to object manipulation and scene modification.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
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/runalibaba/wan/2.2/fun-controlInput Schema
8 parameters · 1 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to generate the video. |
fps | integer | Optional | The fps to generate. Only used when match_input_fps is False. · Min: 4 · Max: 60 · Default: 16 |
seed | integer | Optional | The seed for the random number generator. |
match_input_fps | boolean | Optional | Whether to match the fps in the input video. · Default: true |
preprocess_type | string | Optional | The type of preprocess to apply to the video. Only used when preprocess_video is True. · Options: depth, pose · Default: "depth" depthpose |
preprocess_video | boolean | Optional | Whether to preprocess the video. If True, the video will be preprocessed to depth or pose. · Default: false |
control_video_url | string | Optional | The URL of the control video to use as a reference for the video generation. |
reference_image_url | string | Optional | The URL of the reference image to use as a reference for the video generation. |
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/fun-control",
"fps": 16,
"prompt": "A woman wearing a lavender floral dress spins around in a circle.",
"match_input_fps": true,
"preprocess_type": "depth",
"preprocess_video": false,
"control_video_url": "https://static.sandbase.ai/examples/alibaba/wan/2.2/fun-control/input_control_video_url_0.mp4",
"reference_image_url": "https://static.sandbase.ai/examples/alibaba/wan/2.2/fun-control/input_reference_image_url_1.webp"
}'
# 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 Fun Control
Wan 2.2 Fun Control is the Wan 2.2 workflow for structurally controlled video. It models visual appearance and time together so the route’s written direction, source imagery, speech, masks, or structural conditions influence one coherent result rather than a collection of disconnected frames or a generic endpoint response.
Choose this exact route when the available assets and deliverable specifically call for structurally controlled video. Identify every subject and source, state the desired action or transformation, then describe camera behavior, pacing, environment, lighting, atmosphere, and preservation requirements; local schema fields handle resolution, duration, seed, and delivery separately from the creative brief.
Highlights
- 2.2 Control-signal following. Uses structural guidance to direct geometry and motion.
- 2.2 Temporal condition consistency. Applies the controlling signal coherently across the sequence.
- 2.2 Appearance freedom. Allows subject, material, lighting, and style to change around the structure.
- 2.2 Prompt-condition fusion. Combines written creative direction with the supplied control representation.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.1 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"fps": 16,
"seed": 1,
"match_input_fps": true
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.2/fun-control |
| Input fields | fps (integer)<br>seed (integer)<br>prompt (string)<br>match_input_fps (boolean)<br>preprocess_type (string; depth, pose)<br>preprocess_video (boolean)<br>control_video_url (string)<br>reference_image_url (string) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.1/text-to-videoalibaba/wan/2.1/image-to-videoalibaba/wan/2.1/vace