Wan 2.2 A14B converts images into 480p videos, enabling unlimited AI video generation from single images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.15per run·~66 / $10
A sci-fi spaceship launches from a futuristic spaceport at night, engines roaring with intense thrust, glowing exhaust lighting up the runway. Strong camera shake and motion blur emphasize speed and vibration, cinematic dynamic pacing.
A man wearing glasses stands by a window, subtly adjusting his jacket collar and looking outside with thoughtful expression, natural motion, not in slow motion, cinematic lighting.
A close-up of a steaming bowl of ramen on a wooden table, lit by warm, moody light. Camera slowly pulls back to reveal a cozy izakaya. A man in his 30s, wearing a dark jacket, sits alone, gently blowing on the noodles. Raindrops patter softly outside the window. Steam rises and curls into the dim ambient light, evoking a quiet, comforting atmosphere.
A young woman in a red dress looks out from a rainy café window, a single tear rolling down her cheek. Subtle, natural movements of her head and eyes, rain softly flowing outside, fluid motion, cinematic lighting, not in slow motion.
A woman in business attire waits at a crosswalk as cars pass by. Her hair moves naturally with the wind, subtle head and body movements, smooth motion, cinematic lighting, not in slow motion.
Generate dynamic videos from images with Wan 2.2 at an accessible 480p resolution. This versatile model supports both single-image animation and start-to-end frame interpolation — perfect for rapid prototyping, social media content, and budget-conscious video production.
Looking for higher resolution? Try Wan 2.2 I2V 720p for HD output.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source/starting image to animate (upload or public URL). |
| prompt | Yes | Text description of the motion and action you want. |
| negative_prompt | No | Elements to avoid in the generated video. |
| last_image | No | Optional ending frame for start-to-end interpolation (upload or URL). |
| duration | No | Video length: 5 or 8 seconds. Default: 5. |
| seed | No | Random seed for reproducibility. Use -1 for random. |
| Enable Safety Checker | No | Toggle content safety filtering. |
Per 5-second billing based on duration.
| Duration | Calculation | Cost |
|---|---|---|
| 5 seconds | 5 ÷ 5 × $0.15 | $0.15 |
| 8 seconds | 8 ÷ 5 × $0.15 | $0.24 |
| Videos | Duration | Total Cost |
|---|---|---|
| 10 | 5s | $1.50 |
| 10 | 8s | $2.40 |
| 50 | 5s | $7.50 |
| 50 | 8s | $12.00 |
When you provide both an image and a last_image, the model creates a smooth video transition between the two frames:
| Use Case | How to Use |
|---|---|
| Scene transitions | Start with day scene, end with night scene |
| Morphing effects | Start with one expression, end with another |
| Movement sequences | Start position to end position |
| Zoom effects | Wide shot to close-up (or vice versa) |
| Model | Resolution | Cost (5s) | Best For |
|---|---|---|---|
| I2V 480p | 480p | $0.15 | Mobile content, prototyping, high-volume |
| I2V 720p | 720p | Higher | Final delivery, quality content |
| I2V 720p Ultra Fast | 720p | $0.10 | Speed-optimized HD generation |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-480p with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Wan 2.2 I2v 480p below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-480p" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/wan-2.2/i2v-480p", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/wan-2.2/i2v-480p",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.2 I2v 480p is a WaveSpeedAI model for video generation from images, exposed as a REST API on WaveSpeedAI. Wan 2.2 A14B converts images into 480p videos, enabling unlimited AI video generation from single images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-i2v-480p.
Wan 2.2 I2v 480p starts at $0.15 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `duration`, `seed`, `negative_prompt`, `last_image`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-i2v-480p.
Average end-to-end generation time on WaveSpeedAI is around 67 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.