Mureka AI V9 Generate BGM is a fast AI music generation model that creates high-quality background music via the official Mureka API. Ready-to-use REST inference API for AI BGM generation, video soundtracks, game music, podcast intros, advertising audio, social media content, and professional music production workflows with simple integration, no coldstarts, and affordable pricing.
Idle
$0.045per run·~22 / $1
Warm acoustic folk song, gentle male vocal, fingerpicked acoustic guitar, soft piano, light strings, intimate and healing mood, natural organic sound, emotional but peaceful, cinematic singer-songwriter style
Mureka AI V9 Generate BGM creates background music tracks from a text prompt, with optional instrumental reference guidance and support for multiple generations in a single request. It is suitable for videos, podcasts, ads, games, livestreams, and other content workflows that need original non-vocal music.
Prompt-based background music generation Generate instrumental tracks from a natural-language description of mood, genre, tempo, or instrumentation.
Optional instrumental reference guidance
Use instrumental_id to guide the generation toward a particular musical direction.
Multiple generations per run
Generate up to 3 background music tracks in one request with number_of_songs.
Flexible output formats
Export generated tracks as mp3, wav, or flac.
Simple pricing Pricing depends only on how many tracks you generate.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Prompt describing the background music. Official limit: up to 1024 characters. |
| number_of_songs | No | Number of generations. Range: 1–3. Default: 1. |
| output_format | No | Output audio format after re-uploading to WaveSpeed CDN. Supported values: mp3, wav, flac. Default: mp3. |
| instrumental_id | No | Optional Mureka uploaded instrumental reference file ID. |
instrumental_id if you want stronger musical guidance.1 to 3.mp3, wav, or flac.Cinematic ambient background music with soft piano, warm strings, slow build, emotional and uplifting mood, clean modern production
Pricing is based on number_of_songs.
| Number of Songs | Cost |
|---|---|
| 1 | $0.045 |
| 2 | $0.090 |
| 3 | $0.135 |
number_of_songsoutput_format and instrumental_id do not affect pricingnumber_of_songs when you want multiple variations from the same idea.instrumental_id only when you need tighter musical guidance.mp3 for convenience, then use wav or flac when higher-quality output matters more.prompt is required.number_of_songs supports values from 1 to 3.prompt supports up to 1024 characters.output_format defaults to mp3.number_of_songs.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9/generate-bgm 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 Mureka v9 Generate Bgm below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v9/generate-bgm" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"number_of_songs": 1,
"output_format": "mp3"
}'
# 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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("mureka-ai/mureka-v9/generate-bgm", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"number_of_songs": 1,
"output_format": "mp3"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"mureka-ai/mureka-v9/generate-bgm",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"number_of_songs": 1,
"output_format": "mp3"
}
)
print(output["outputs"][0]) # → URL of the generated outputMureka v9 Generate Bgm is a Mureka Ai model for audio generation, exposed as a REST API on WaveSpeedAI. Mureka AI V9 Generate BGM is a fast AI music generation model that creates high-quality background music via the official Mureka API. Ready-to-use REST inference API for AI BGM generation, video soundtracks, game music, podcast intros, advertising audio, social media content, and professional music production workflows 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 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/mureka-ai/mureka-ai-mureka-v9-generate-bgm.
Mureka v9 Generate Bgm starts at $0.045 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`, `instrumental_id`, `number_of_songs`, `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-v9-generate-bgm.
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 (Mureka Ai). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.