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Sfx V1.5 Video to Video

mirelo-ai /

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.

video-dubbing
Input

Siap

$0.007per run·~142 / $1

ContohLihat semua

Medieval European battlefield, battlefield atmosphere, the sound of arrows flying through the air, the sound of shields shattering

Model Terkait

README

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 ruleApprox. cost per second
0–5 sMinimum charge (5 s)$0.007 × num_samples × 5 = $0.035 × num_samples
5–10 sActual duration billed$0.007 × num_samples × duration ≈ $0.007 × num_samples per second
>10 sCapped at 10 s$0.07 × num_samples maximum per run

How to Use

  1. Upload a video (drag & drop or paste a URL).
  2. (Optional) Write a prompt to describe sound context (e.g., “soft footsteps on wood,” “metal clangs,” “cinematic ambience”).
  3. Set num_samples — the number of different sound versions to generate.
  4. (Optional) Fix seed for reproducibility or randomize for variation.
  5. 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.
Catatan:Situs web ini menggunakan model AI yang disediakan oleh pihak ketiga.

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. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Sfx v1.5 Video To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "num_samples": 2,
    "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-v1.5/video-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-v1.5/video-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "num_samples": 2,
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "num_samples": 2,
    "seed": -1
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-v1.5/video-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. 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?

Median end-to-end generation time on WaveSpeedAI is around 21 seconds per request, based on recent successful runs. Queue time varies 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.

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