Love Drop | Trending Video Effects API

Love Drop Effect

Requirements

Number of Images

Required
Only supports uploading one image

Number of People

Supports single-person photos, or photos of one person with one pet

Image Requirements

Best results are achieved when the main subject's upper body or full body is clearly visible from the front

Prompt

Required
Try not to change the format, content can be found in the request example 'prompt' parameter
If there are personalized needs, you can make changes to the prompt while keeping the structure and most of the content unchanged

Effect Boundaries

When the input image contains two people or two pets, it is not possible to depict an external character feeding one of them
It may mistakenly generate a kissing interaction between the two
In some two-person images, a third character may appear entering from outside the frame, merely observing without engaging in intimate actions
There is also a low probability of generating same-gender kissing couples

Best Practices

Use clear, front-facing photos
Ensure the main subject is clearly visible
Use upper body or full body shots for optimal results
Keep the default prompt structure
Follow the prompt format for different scenarios (single person, person with pet)

Love Drop API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/video-effects/love-drop 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 Love Drop below.

HTTP example

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

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

Love Drop API — Frequently asked questions

What is the Love Drop API?

Love Drop is a Video Effects model for AI inference, exposed as a REST API on WaveSpeedAI. Love Drop creates romantic videos with dynamic character interactions and hug-and-kiss effects for emotive storytelling. 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 Love Drop 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-love-drop.

How much does Love Drop cost per run?

Love Drop 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 Love Drop 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-love-drop.

How long does Love Drop take to generate?

Average end-to-end generation time on WaveSpeedAI is around 68 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Love Drop 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.

ExamplesView all

Related Models

README