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Rain Kiss

video-effects /

Image-to-Video Rain Kiss converts your photos into romantic rain-kiss videos with lifelike motion and authentic emotion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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$0.3每次運行·~33 / $10

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相關模型

README

Rain Kiss Effect

Requirements

Number of Images

  • Required
  • Only one image is supported

Number of People

  • Only two-person group photos are supported

Image Requirements

  • Better results when the subjects are facing forward and showing the upper body or full body

Prompt

  • Required
  • Please avoid changing the structure
  • See the example under the "prompt" parameter
  • For personalized needs, minor adjustments are allowed as long as the structure and main content remain intact

Effect Boundaries

  • There may be inconsistencies between the characters in the video and the uploaded image
  • The kiss may fail to achieve proper mouth-to-mouth alignment

Best Practices

  1. Use clear, front-facing photos
  2. Ensure both subjects are clearly visible
  3. Use photos with good lighting and contrast
  4. Keep the default prompt structure
  5. Avoid complex backgrounds or additional people
無障礙:本網站使用的 AI 模型由第三方提供。

Rain Kiss API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/video-effects/rain-kiss 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 Rain Kiss below.

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

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

Rain Kiss API — Frequently asked questions

What is the Rain Kiss API?

Rain Kiss is a Video Effects model for AI inference, exposed as a REST API on WaveSpeedAI. Image-to-Video Rain Kiss converts your photos into romantic rain-kiss videos with lifelike motion and authentic emotion. 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 Rain Kiss 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-rain-kiss.

How much does Rain Kiss cost per run?

Rain Kiss starts at $0.30 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 Rain Kiss 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-rain-kiss.

How do I get started with the Rain Kiss API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Rain Kiss 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.