Wan 2.2 A14B Image-to-Video (i2v-480p) produces ultra-fast 480p videos from single images, enabling unlimited AI video generation with high throughput. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.05per run·~20 / $1
ExamplesView all
Two chronomancers duel on a rooftop. One is struck and sent backward, then quickly reverses time on his own body to regain position instantly. He immediately counters with a punch, accelerating movement around his opponent. Fast-paced, fluid motion, cinematic wide and close shots, natural pacing, not in slow motion.
A tight, over-the-shoulder shot of an elderly Japanese bladesmith rhythmically hammering a glowing piece of steel. Sparks burst and scatter with each strike, dynamic movement and natural pacing. The dimly lit workshop glows from the forge, 8K ultra-realistic RAW footage style.
wo skilled fighters engage in a brutal hand-to-hand combat on a rain-soaked rooftop, lightning flashing in the background, broken glass and debris flying dynamically. Intense close-ups capture fluid, fast-paced movement, cinematic lighting, natural motion, not in slow motion.
A military team sprints across a desert battlefield toward a hovering helicopter. Bullets kick up sand dynamically, cinematic dust clouds and rotor wash ripple through the scene. Fast-paced, fluid motion, adrenaline-filled atmosphere, natural pacing, not in slow motion.
A photo-realistic shot of a person walking briskly down a busy city street in pouring rain, holding an umbrella. Camera remains static, while surrounding people, cars, and raindrops move dynamically and naturally. Fast-paced, fluid motion, cinematic lighting, natural pacing, not in slow motion.
Related Models
README
Wan-2.2-i2v-480p-ultra-fast
wan-2.2/i2v-480p-ultra-fast is the ultra-fast, optimized version of Wan 2.2, designed for image-to-video (I2V) generation at 480p resolution. It leverages an innovative Mixture of Experts (MoE) architecture, combining high-noise and low-noise experts across denoising timesteps, enabling faster rendering while maintaining cinematic quality.
Why it looks great
- Cinematic Aesthetics – integrates professional film standards, controlling lighting, color, and composition.
- Natural Motion – handles large-scale, complex movements with smoothness and controllability.
- Semantic Precision – understands complex scenes and multi-object interactions, staying true to creative intent.
- Ultra-fast Performance – optimized pipeline ensures faster turnaround without sacrificing visual fidelity.
Limits and Performance
- Resolution: 480p
- Duration: 5s or 8s
Pricing
| Video Length | Cost (USD) |
|---|---|
| 5 seconds | $0.05 |
| 8 seconds | $0.08 |
Billing Rules:
- Minimum charge: 5 seconds
- Per-second rate: $0.01
- Total cost = video length × $0.01
How to Use
- Upload image – the keyframe (first frame) or reference image for video generation.
- (Optional) Upload last_image – to guide video generation.
- Enter prompt – describe scene, camera motion, style, or action.
- (Optional) Set negative_prompt – exclude unwanted elements.
- Choose duration – default 5s, adjustable for longer clips.
- Set seed – use -1 for randomness, or fix a number for reproducibility.
- Click Run – rendering begins, optimized for ultra-fast output.
Pro Tips
- Combine image + prompt for stronger consistency.
- Keep prompts detailed (motion, mood, lighting) for cinematic effect.
- Fix seed for reproducibility, change seed for variety.
- Use short clips for best speed-to-quality balance.
Note
When uploading an image, please check if the URL is accessible.
- If the URL is invalid or blocked, the model will not be able to load the image.
- A valid image URL will display a preview in the interface.
Wan 2.2 I2v 480p Ultra Fast API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-480p-ultra-fast 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 Ultra Fast below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-480p-ultra-fast" \
-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].Node.js example
// 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-ultra-fast", {
"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 outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/wan-2.2/i2v-480p-ultra-fast",
{
"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 Ultra Fast API — Frequently asked questions
What is the Wan 2.2 I2v 480p Ultra Fast API?
Wan 2.2 I2v 480p Ultra Fast is a WaveSpeedAI model for video generation from images, exposed as a REST API on WaveSpeedAI. Wan 2.2 A14B Image-to-Video (i2v-480p) produces ultra-fast 480p videos from single images, enabling unlimited AI video generation with high throughput. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Wan 2.2 I2v 480p Ultra Fast API?
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-ultra-fast.
How much does Wan 2.2 I2v 480p Ultra Fast cost per run?
Wan 2.2 I2v 480p Ultra Fast starts at $0.050 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.
What inputs does Wan 2.2 I2v 480p Ultra Fast accept?
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-ultra-fast.
How long does Wan 2.2 I2v 480p Ultra Fast take to generate?
Average end-to-end generation time on WaveSpeedAI is around 26 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Wan 2.2 I2v 480p Ultra Fast outputs commercially?
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.