Mureka AI V7.6 Extend Song is a fast AI music generation model that extends existing songs via the official Mureka API. Ready-to-use REST inference API for lengthening tracks, continuing song ideas, expanding demos, remix workflows, creative audio projects, and professional music production with simple integration, no coldstarts, and affordable pricing.
Chờ
$0.036cho mỗi lần chạy·~27 / $1
Mureka AI V7.6 Extend Song extends an existing song or audio track by generating a new continuation segment from the head or tail, guided by provided lyrics. It is suitable for song continuation, outro generation, intro extension, and other music editing workflows where you want to expand an existing track instead of generating a new one from scratch.
Song continuation workflow Extend an existing audio track with newly generated music and vocals.
Head or tail extension Choose whether to extend from the beginning or the end of the source audio.
Lyrics-guided extension Provide lyrics for the new segment so the continuation matches your intended content.
Precise extension point control
Use extend_at to define where in the source audio the extension begins.
Flexible output formats
Export the extended result as mp3, wav, or flac.
Simple pricing Uses a fixed per-request price.
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Source audio URL to extend. It will be uploaded to Mureka as audio. |
| lyrics | Yes | Lyrics for the extension segment. |
| extend_at | Yes | Extension position in milliseconds. This specifies where the extension starts in the source audio. |
| extend_type | No | Whether to extend from the tail or head of the source audio. Default: tail. |
| output_format | No | Output audio format after re-uploading to WaveSpeed CDN. Supported values: mp3, wav, flac. Default: mp3. |
extend_at — define the position in the source audio where the extension should begin.tail to extend from the end side of that point, or head to extend from the beginning side.mp3, wav, or flac.Extend a demo track from the chorus section by adding a new lyrical outro while keeping the existing song structure and tone.
Just $0.036 per generated extension.
extend_type and output_format do not affect pricingtail when you want to add a new ending or next section.head when you want to generate an intro or earlier lead-in material.wav or flac when you want higher-quality outputs for further production work.audio, lyrics, and extend_at are required.extend_at specifies the exact position in the source audio where the extension begins.extend_at is measured in milliseconds.extend_type defaults to tail.output_format defaults to mp3.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v7.6/extend-song with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Mureka v7.6 Extend Song below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"lyrics": "example",
"extend_at": 30000,
"extend_type": "tail",
"output_format": "mp3"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v7.6/extend-song" \
-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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v7.6/extend-song";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"lyrics": "example",
"extend_at": 30000,
"extend_type": "tail",
"output_format": "mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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));
}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 = {
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"lyrics": "example",
"extend_at": 30000,
"extend_type": "tail",
"output_format": "mp3"
}
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/mureka-ai/mureka-v7.6/extend-song", 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)Mureka v7.6 Extend Song is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka AI V7.6 Extend Song is a fast AI music generation model that extends existing songs via the official Mureka API. Ready-to-use REST inference API for lengthening tracks, continuing song ideas, expanding demos, remix workflows, creative audio projects, and professional music production with simple integration, no coldstarts, and 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 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/mureka-ai/mureka-ai-mureka-v7.6-extend-song.
Mureka v7.6 Extend Song starts at $0.036 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: `audio`, `extend_at`, `extend_type`, `lyrics`, `output_format`. 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/mureka-ai/mureka-ai-mureka-v7.6-extend-song.
Median end-to-end generation time on WaveSpeedAI is around 77 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Mureka Ai). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.