Wan 2.2 Image To Video
Playground
Try it on WavespeedAI!Wan 2.2 Image-to-Video turns a single image into smooth, cinematic motion with clean detail—ideal for storyboards, mood shots, and product demos. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Wan 2.2 — Image-to-Video (I2V)
Wan 2.2 is a next-gen I2V model built on a Mixture-of-Experts denoising architecture. It turns a single still image into a smooth, cinematic short video with strong prompt adherence and stable motion.
Why it looks great
- Film-grade control: Understands lighting, color, composition, and camera language for cohesive scenes.
- Stable large motion: Handles fast subject/camera movement with fewer jitters or tears.
- Accurate semantics: Follows detailed prompts in complex, multi-object scenes.
- Pure I2V workflow: No start/end keyframes required—one reference image is enough.
Inputs & Parameters
- image (required): Reference image to lock identity, layout, and style.
- prompt (required): Scene mood, motion, and camera cues (e.g., “slow dolly-in, warm rim light”).
- negative_prompt (optional): Things to avoid (e.g., “text, watermark, distortion”).
- size: 832×480 or 1280×720.
- duration: 5 s or 8 s.
- seed: Integer; fixed for reproducibility, −1 for random.
- last_image (optional): The last frame of the video.
How to Use
- Upload the image.
- Add a concise prompt (subject + environment + motion + lighting).
- Choose size (480p/720p) and duration (5 s/8 s).
- (Optional) Set negative_prompt and seed.
- Run and download.
Pricing
| Duration | 832×480 (480p) | 1280×720 (720p) |
|---|---|---|
| 5 s | $0.15 | $0.30 |
| 8 s | $0.24 | $0.48 |
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"resolution": "480p",
"duration": 5,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image for generating the output. | |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| resolution | string | No | 480p | 480p, 720p | The resolution of the generated media. |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| last_image | string | No | - | - | The last image for generating the output. |
| duration | integer | No | 5 | 5, 8 | The duration of the generated media in seconds. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |