alibaba/wan/2.2/speech-to-video
Wan 2.2 Speech To Video by Alibaba - advanced AI model for audio-to-video. Delivers high-quality results with fast inference, suitable for both creative and production workflows.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
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/speech-to-videoInput Schema
5 parameters · 2 required · 3 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 used for video generation. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
audio | string | Optional | The URL of the audio file. |
resolution | string | Optional | Resolution of the generated video (480p, 580p, or 720p). · Options: 480p, 720p · Default: "480p" 480p720p |
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/speech-to-video",
"audio": "https://static.sandbase.ai/examples/alibaba/wan/2.2/speech-to-video/input_audio_1.wav",
"image": "https://static.sandbase.ai/examples/alibaba/wan/2.2/speech-to-video/input_image_0.png",
"prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard.",
"resolution": "480p"
}'
# 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 Speech to Video
Wan 2.2 Speech to Video is a Wan-family route for speech-driven video synthesis. Wan’s video-focused generative architecture models appearance and time together, so supplied references, structural conditions, masks, speech, or written scene direction can influence a coherent sequence rather than a collection of unrelated frames. This exact route concentrates that architecture on its named production task.
Use the route when the available source material and final brief specifically require speech-driven video synthesis. Identify every subject or condition, explain the intended action or transformation, and describe camera behavior, pacing, environment, lighting, atmosphere, and preservation constraints. This separates creative intent from the local duration, resolution, and delivery fields documented below.
Highlights
- Speech-synchronized performance. Uses spoken audio to guide visible timing and performance.
- Audio-aware motion. Coordinates facial or subject movement with the supplied soundtrack.
- Reference-led identity. Uses the available subject input to preserve recognizable appearance.
- Complete audiovisual shot. Combines voice timing, visual action, scene treatment, and prompt direction in one sequence.
Pricing
| Configuration | Mode | Price |
|---|---|---|
| 480p | Per generated second | $0.10 |
| 720p | Per generated second | $0.20 |
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",
"image": "https://example.com/reference.png",
"seed": 1,
"audio": "https://example.com/reference.mp3",
"resolution": "480p"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.2/speech-to-video |
| Input fields | seed (integer)<br>audio (string)<br>image (string)<br>prompt (string)<br>resolution (string; 480p, 720p) |
| Required input | prompt, image |
| 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

