Pixel Me | Trending Video Effects API

Pixel Me Effect

Requirements

Number of Images

Required
Only one image upload is supported

Number of People

Supports single-person photos, two-person group photos, or multi-person group photos

Image Requirements

The effect is better when the main subject shows a frontal upper body or full body

Prompt

Required
Try not to modify the format
For details, see the 'prompt' parameter in the request example
If there are personalized requirements, you may adjust the prompt slightly without changing the structure or most of the content

Effect Boundaries

There may be pixel damage or a brief white fog effect during generation

Best Practices

Use clear, front-facing photos
Ensure main subject's upper body or full body is clearly visible
Use photos with good lighting and contrast
Keep the default prompt structure
For group photos, ensure all subjects are clearly visible

Pixel Me API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/video-effects/pixel-me 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 Pixel Me below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/video-effects/pixel-me" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg"
}'

# 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("video-effects/pixel-me", {
        "image": "https://example.com/your-input.jpg"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "video-effects/pixel-me",
    {
    "image": "https://example.com/your-input.jpg"
}
)

print(output["outputs"][0])  # → URL of the generated output

Pixel Me API — Frequently asked questions

What is the Pixel Me API?

Pixel Me is a Video Effects model for AI inference, exposed as a REST API on WaveSpeedAI. Convert photos to pixel-art videos (image-to-video) with natural motion and preserved emotion for expressive, stylized outputs. 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 Pixel Me 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/video-effects/video-effects-pixel-me.

How much does Pixel Me cost per run?

Pixel Me 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.

What inputs does Pixel Me accept?

Key inputs: `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/video-effects/video-effects-pixel-me.

How long does Pixel Me take to generate?

Average end-to-end generation time on WaveSpeedAI is around 40 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Pixel Me outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Video Effects). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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