Mirelo SFX 2.0 Video-to-Video adds synchronized AI-generated sound effects to an input video and returns the original video with its new soundtrack, preserving the source visuals while enhancing sound design for film, social content, games, ads, and post-production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.016per run·~62 / $1
Mirelo SFX 2.0 Video-to-Video adds synchronized sound effects and ambience to an existing video while keeping the original visual footage. The model analyzes the action in the source video, generates matching audio, and returns the video with its new soundtrack.
Use optional text guidance to describe the sounds you want, add a negative prompt to exclude unwanted audio elements, and preserve existing speech when dialogue should remain in the final soundtrack.
Video-synchronized sound generation
Generate sound effects and ambience that follow the timing and action of the source footage.
Original visuals preserved
Add generated audio without creating or modifying the video frames.
Prompt-guided sound design
Describe the desired sound effects, environment, atmosphere, and audio direction.
Negative prompt control
Specify sounds, voices, music, or other elements that should be avoided.
Speech preservation
Keep existing dialogue while generating a new surrounding soundscape.
Up to 10 minutes
Request synchronized sound generation from 1 to 600 seconds.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Input video URL used to guide synchronized sound generation. Minimum video length: 1 second. |
| prompt | No | Optional guidance describing the desired soundtrack, sound effects, ambience, or environment. Maximum 2000 characters. |
| negative_prompt | No | Optional description of sounds or elements to avoid. Maximum 1000 characters. |
| preserve_speech | No | Preserve existing speech while generating other sounds around it. Default: true. |
| duration | No | Requested sound-generation duration in seconds. Range: 1–600. Default: 10. Generation cannot continue beyond the source video length. |
| seed | No | Optional integer seed from 0 to 2147483647. Omit for random generation. |
prompt.negative_prompt to specify sounds that should be avoided.preserve_speech=true when existing dialogue should remain.1 to 600 seconds.Pricing is based on the requested duration.
The rate is $0.016 per requested second.
| Duration | Price |
|---|---|
| 1s | $0.016 |
| 5s | $0.080 |
| 10s | $0.160 |
| 30s | $0.480 |
| 60s | $0.960 |
| 600s | $9.600 |
Billing uses the requested duration.
If the source video is shorter than the requested duration, sound generation stops at the end of the source video, but billing still uses the requested duration. Set duration no longer than the usable source clip when additional requested time is unnecessary.
negative_prompt to reduce unwanted music, voices, or background elements.preserve_speech=true when source dialogue should remain in the final video.preserve_speech=false when you want the generated soundtrack focused on sound effects only.duration to the usable source-video length to avoid paying for requested time beyond the available footage.video is required.1 second long.duration supports 1–600 seconds and defaults to 10.duration when it exceeds the available source-video duration.preserve_speech defaults to true.preserve_speech=true preserves existing speech, not all original background audio.10 seconds is processed in consecutive windows.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-2.0/video-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Sfx 2.0 Video To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"preserve_speech": true,
"duration": 10
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-2.0/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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(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' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/mirelo-ai/sfx-2.0/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"preserve_speech": true,
"duration": 10
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}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",
"preserve_speech": True,
"duration": 10
}
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-2.0/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 = 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", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Sfx 2.0 Video To Video is a Mirelo Ai model for video sound design, exposed as a REST API on WaveSpeedAI. Mirelo SFX 2.0 Video-to-Video adds synchronized AI-generated sound effects to an input video and returns the original video with its new soundtrack, preserving the source visuals while enhancing sound design for film, social content, games, ads, and post-production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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 Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/mirelo-ai/mirelo-ai-sfx-2.0-video-to-video.
Sfx 2.0 Video To Video starts at $0.016 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.
Key inputs: `prompt`, `video`, `duration`, `seed`, `negative_prompt`, `preserve_speech`. 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-2.0-video-to-video.
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.
Commercial usage rights depend on the model's license, set by its provider (Mirelo Ai). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.