Sfx V1.5 Video to Video | AI Video Dubbing API

Mirelo SFX v1.5 (Video-to-Sound)

Mirelo SFX v1.5 turns your videos into synchronized sound effects using advanced multimodal AI. It listens, sees, and imagines — automatically generating realistic or cinematic sound layers that perfectly match the visual rhythm. Whether it’s footsteps, explosions, or ambient noise, this model brings motion to life.

Why it sounds great

AI-driven sound synthesis – Generates sound effects that fit object motion, timing, and energy directly from video frames.
Cinematic awareness – Detects on-screen actions (impacts, motion, intensity) and produces corresponding effects.
Multiple variations – Create multiple versions of the same video for creative control and sound design diversity.
High coherence – Outputs seamlessly loopable audio segments aligned to scene transitions.
Plug-and-play – Just upload a video clip, set samples, and receive ready-to-use sound effects.

Limits and Performance

Max duration per job: up to 10 seconds (minimum billing covers 5 seconds)
Processing speed: typically 6–12 seconds per generation
Input: MP4, MOV, or URL video upload
Output: AI-generated synchronized sound effects (WAV or MP3)

Pricing

Duration range (seconds)	Billing rule	Approx. cost per second
0–5 s	Minimum charge (5 s)	$0.007 × num_samples × 5 = $0.035 × num_samples
5–10 s	Actual duration billed	$0.007 × num_samples × duration ≈ $0.007 × num_samples per second
>10 s	Capped at 10 s	$0.07 × num_samples maximum per run

How to Use

Upload a video (drag & drop or paste a URL).
(Optional) Write a prompt to describe sound context (e.g., “soft footsteps on wood,” “metal clangs,” “cinematic ambience”).
Set num_samples — the number of different sound versions to generate.
(Optional) Fix seed for reproducibility or randomize for variation.
Click Run — preview and download results.

Pro tips for best quality

Use short, focused clips (≤10s) to maintain strong visual-sound alignment.
For cinematic realism, include context in the prompt (e.g., “rainy street, distant thunder”).
Generate multiple samples to audition variations before final mixdown.
Adjust seed for subtle variations in timing and sound character.

Note

Each sample is generated independently; total cost scales linearly with num_samples.
Minimum billing covers 5 seconds even for shorter clips.
Works best with clear, high-contrast motion — busy scenes may mix sound layers automatically.

Sfx v1.5 Video To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-v1.5/video-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 Sfx v1.5 Video To Video below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-v1.5/video-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "num_samples": 2,
    "seed": -1
}'

# 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("mirelo-ai/sfx-v1.5/video-to-video", {
        "video": "https://example.com/your-input.mp4",
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "num_samples": 2,
        "seed": -1
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "mirelo-ai/sfx-v1.5/video-to-video",
    {
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "num_samples": 2,
    "seed": -1
}
)

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

Sfx v1.5 Video To Video API — Frequently asked questions

What is the Sfx v1.5 Video To Video API?

Sfx v1.5 Video To Video is a Mirelo Ai model for AI inference, exposed as a REST API on WaveSpeedAI. Mirelo SFX V1.5 generates synchronized sound effects and audio for any video, producing synced SFX to enhance visuals. 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 Sfx v1.5 Video To Video 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/mirelo-ai/mirelo-ai-sfx-v1.5-video-to-video.

How much does Sfx v1.5 Video To Video cost per run?

Sfx v1.5 Video To Video starts at $0.007 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 Sfx v1.5 Video To Video accept?

Key inputs: `prompt`, `video`, `seed`, `num_samples`. 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/mirelo-ai/mirelo-ai-sfx-v1.5-video-to-video.

How long does Sfx v1.5 Video To Video take to generate?

Average end-to-end generation time on WaveSpeedAI is around 18 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Sfx v1.5 Video To Video outputs commercially?

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

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