Mureka Ai Mureka V7.6 Generate Bgm

Mureka Ai Mureka V7.6 Generate Bgm

Playground

Mureka AI V7.6 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.

Features

Mureka AI V7.6 Generate BGM

Mureka AI V7.6 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.

Why Choose This?

• 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.

Parameters

How to Use

1. Write your prompt — describe the mood, genre, tempo, instrumentation, and production style you want.
2. Add an instrumental reference (optional) — provide instrumental_id if you want stronger musical guidance.
3. Set number of songs — choose how many generations you want, from 1 to 3.
4. Choose output format — select mp3, wav, or flac.
5. Submit — run the model and download the generated background music tracks.

Example Prompt

Dreamy female vocal pop song with soft electronic beat, emotional piano chords, atmospheric pads, catchy hook, romantic cinematic mood, modern pop production, clean mix, suitable for short video background music

Pricing

Pricing is based on number_of_songs.

Billing Rules

• Each generated background music track costs $0.03
• Total price = $0.03 × number_of_songs
• output_format and instrumental_id do not affect pricing

Best Use Cases

• Video background music — Generate instrumental tracks for vlogs, ads, explainers, and short-form content.
• Podcast and livestream music — Create intro, outro, or ambient background tracks.
• Game and app audio — Produce mood-based background music for interactive experiences.
• Creative ideation — Explore multiple music directions from a single prompt.
• Reference-guided generation — Use an instrumental reference to steer the musical style more precisely.

Pro Tips

• Be specific in your prompt about genre, tempo, instrumentation, and mood.
• Use number_of_songs when you want multiple variations from the same idea.
• Add instrumental_id only when you need tighter musical guidance.
• Start with mp3 for convenience, then use wav or flac when higher-quality output matters more.
• Short, focused prompts often produce more controllable results than overly broad descriptions.

Notes

• prompt is required.
• number_of_songs supports values from 1 to 3.
• prompt supports up to 1024 characters.
• output_format defaults to mp3.
• Pricing depends only on number_of_songs.

Related Models

• Mureka AI V7.6 Generate Song — Create full songs from lyrics with optional style and reference guidance.
• Mureka AI V8 Generate BGM — Newer background music generation workflow with the same prompt-first interface.
• Mureka AI V9 Generate BGM — Latest background music generation workflow in the Mureka lineup.
• Mureka AI Stem Song — Process songs into stem-based outputs for remixing, editing, and production workflows.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/mureka-ai/mureka-v7.6/generate-bgm" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "number_of_songs": 1,
    "output_format": "mp3"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"