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.
Idle
$0.15per run·~66 / $10
ExamplesView all
A person walking through a corridor of shattered clocks and frozen time fragments. Motion blur trails, glowing fragments suspended midair, surreal lighting, concept art style.
A futuristic astronaut ascends toward a massive sun halo, golden plasma arcs swirling around. The suit reflects molten light, cinematic wide shot, extreme contrast, ultra-detailed
A girl floats peacefully underwater surrounded by glowing jellyfish and beams of refracted sunlight. Her hair drifts like silk, surreal calmness, ultra-realistic detail, dreamlike tone
A queen of ice stands on a cliff of crystal glaciers, northern lights dancing above—flowing icy gown, reflective surfaces, ethereal atmosphere, detailed environment design.
A traveler walks through a vast desert of red dunes at sunset, carrying a glowing orb. Wind lifts sand into spirals, long shadows, epic cinematic composition, volumetric lighting
A person walking quickly through a corridor of shattered clocks and frozen time fragments, fragments flying slightly around with natural motion, no slow motion, dynamic pacing, cinematic lighting, concept art style.
Related Models
README
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 |
Wan 2.2 Image To Video API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/image-to-video 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 Image To Video below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/image-to-video" \
-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",
"resolution": "480p",
"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/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "480p",
"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/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "480p",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.2 Image To Video API — Frequently asked questions
What is the Wan 2.2 Image To Video API?
Wan 2.2 Image To Video is a WaveSpeedAI model for video generation from images, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
How do I call the Wan 2.2 Image To Video 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-image-to-video.
How much does Wan 2.2 Image To Video cost per run?
Wan 2.2 Image To Video 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.
What inputs does Wan 2.2 Image To Video accept?
Key inputs: `prompt`, `image`, `resolution`, `duration`, `seed`, `negative_prompt`. 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-image-to-video.
How long does Wan 2.2 Image To Video take to generate?
Average end-to-end generation time on WaveSpeedAI is around 72 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 Image To Video 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.