Kandinsky 5 Pro Image-to-Video turns a single image into a coherent 5-second video guided by a natural-language prompt. It preserves subject and composition while adding smooth motion and cinematic dynamics. Output at 512p or 1024p in common aspect ratios for social posts, ads, and concept previews. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing.
Bezczynny
$0.2za uruchomienie·~50 / $10
She swirls the wine in her glass, checks her phone on the bar, then looks toward the entrance with anticipation. Sighs softly and takes another sip. Moody bar atmosphere.
Camera slowly orbits around the man as he laughs joyfully. His curly hair moves slightly in the wind. Golden sunset light shifts across his face as the camera circles. Mountains rotate in the background. Smooth 360 degree orbit shot. 半圈旋转版 Camera tracks around the man from front to side view. He maintains his happy expression, looking toward the sun. Wind gently moves his hair. Cinematic orbit movement, golden hour lighting, mountains in soft focus behind.
Kandinsky 5 Pro Image-to-Video turns a single image + text prompt into a 5-second MP4 video, adding natural motion and cinematic camera behavior while keeping the original composition anchored to your input frame. It’s built for fast iteration on short-form clips—ideal for ads, story beats, and social content.
Image-to-Video animation (5s) Animate a static image into a short, coherent video clip.
Prompt-guided motion & camera Use text to direct what moves, how it moves, and how the camera behaves.
Resolution options Choose 512p for faster drafts or 1024p for sharper, higher-detail outputs.
Production-friendly output Returns an MP4 clip ready for publishing or post-production.
| Parameter | Required | Description |
|---|---|---|
| image_url | Yes | Publicly accessible URL of the source image (the first frame / anchor). |
| prompt | Yes | Text instruction describing motion, camera, and style. |
| resolution | No | Output resolution: 512p (default) or 1024p. |
| duration | No | Fixed to 5 seconds in the current UI. |
Based on your rate setup (512p baseline; 1024p uses a 3× resolution multiplier):
| Resolution | Price per second | Cost per 5s |
|---|---|---|
| 512p | $0.04 / s | $0.20 |
| 1024p | $0.12 / s | $0.60 |
Billing note: Duration is currently fixed at 5 seconds for this endpoint.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/kandinsky5-pro/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 Kandinsky5 Pro Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/kandinsky5-pro/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": "512p",
"duration": 5
}'
# 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/kandinsky5-pro/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "512p",
"duration": 5
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/kandinsky5-pro/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "512p",
"duration": 5
}
)
print(output["outputs"][0]) # → URL of the generated outputKandinsky5 Pro Image To Video is a WaveSpeedAI model for video generation from images, exposed as a REST API on WaveSpeedAI. Kandinsky 5 Pro Image-to-Video turns a single image into a coherent 5-second video guided by a natural-language prompt. It preserves subject and composition while adding smooth motion and cinematic dynamics. Output at 512p or 1024p in common aspect ratios for social posts, ads, and concept previews. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable 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/kandinsky5-pro-image-to-video.
Kandinsky5 Pro Image To Video starts at $0.20 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`, `resolution`, `duration`. 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/kandinsky5-pro-image-to-video.
Average end-to-end generation time on WaveSpeedAI is around 605 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.