Fairy Me | Trending Video Effects API

Fairy-Me Effect

🌸 Ideal Use Cases for the Fairy-Me Effect

Fantasy-Themed Social Media Posts Perfect for Instagram, TikTok, or YouTube content with dreamy, whimsical aesthetics.
Children’s Birthday Invitations or Keepsakes Turn your child into a fairy for magical birthday memories or digital invitations.
Fairy Tale or Cosplay Content Creation Ideal for cosplayers or storytellers creating ethereal, fantasy-style videos.
Romantic or Dreamy Couple Edits Add a soft, magical touch to couple photos for romantic storytelling.
AI-Powered Art or NFT Creations Use the fairy aesthetic to generate unique, AI-driven visual art or collectibles.
Wedding or Pre-wedding Fantasy Edits Add enchantment to bridal portraits or themed pre-wedding shoots.
Spiritual or Mindfulness Content Match calming music and fairy visuals for guided meditations or spiritual branding.

Fairy Me API — Quick start

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

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/video-effects/fairy-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/fairy-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/fairy-me",
    {
    "image": "https://example.com/your-input.jpg"
}
)

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

Fairy Me API — Frequently asked questions

What is the Fairy Me API?

Fairy Me is a Video Effects model for AI inference, exposed as a REST API on WaveSpeedAI. Fairy Me turns photos into enchanting Image-to-Video fairy clips with magical, ethereal effects for motion portraits. 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 Fairy 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-fairy-me.

How much does Fairy Me cost per run?

Fairy 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 Fairy 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-fairy-me.

How long does Fairy Me take to generate?

Average end-to-end generation time on WaveSpeedAI is around 1002 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Fairy 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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Fairy-Me Effect

Fairy Me API — Quick start

Fairy Me API — Frequently asked questions