Provide concise keywords for genre, mood and instrumentation, then obtain a more detailed music-style description. Boost Music Style uses input.content to express the intended direction and returns style information through music details. Read the expanded text, select the details that fit your project and use the reviewed description in a music-generation request.
Vidgo provides access to Boost Music Style through PoYo’s music-tool integration. Model and tool names and trademarks belong to their respective owners.Prepare a short style direction. In the current online JSON form, provide content and the same text in style for the form validation; direct API requests use content. Read the returned style in the result JSON and select the details for your music brief.
Put the main genre, emotional tone and instruments in content, using concise terms that describe one coherent direction. The service expands that input into style text. Review the added instrumentation, rhythm and mood details and retain the parts that match your intended song or instrumental project.
| Model / task | Input and workflow |
|---|---|
| Boost Music Style | AI-enhanced music style description generator. Transform simple style inputs like 'pop, mysterious' into detailed, comprehensive musical descriptions. Optimize your prompts for better music generation results with enriched genre, mood, and instrumentation details. |
Use the input required by this operation and inspect the returned result together with its source. The guidance below explains how to prepare the request, review the output and retain the information needed for the next creative or development step.
{
"model": "boost-music-style",
"input": {
"content": "gentle acoustic folk, nylon guitar, soft upright bass, brushed percussion, quiet harbor at dusk"
}
}Start with the genre or combination of genres that defines the project. Use the expanded text to inspect how that direction is described before carrying it into music creation.
{
"model": "boost-music-style",
"input": {
"content": "gentle acoustic folk, nylon guitar, soft upright bass, brushed percussion, quiet harbor at dusk"
}
}Include concise emotional terms with the genre. Review whether the expanded description develops the mood in a way that fits the scene or listening purpose.
Gentle acoustic folk at an unhurried 76 BPM, led by close-miked nylon-string guitar with delicate fingerpicking and natural fret noise. Soft upright bass moves in restrained root-and-fifth lines beneath brushed snare and muted shaker. Intimate, understated dynamics, warm tape saturation, subtle room reverb, and spacious pauses evoke a quiet harbor at dusk.
Name the instruments or textures you want to feature. Read the returned instrumentation details and keep those that support the intended arrangement.
{
"model": "boost-music-style",
"input": {
"content": "hopeful indie folk, clear lead vocal, acoustic guitar, light hand percussion, morning after rain"
}
}Read the returned style alongside the original content. Inspect the rhythm, texture and mood details so the selected description remains aligned with your creative brief.
Hopeful indie folk at an easy mid-tempo, stripped to fingerpicked acoustic guitar and a clear, close-miked lead vocal. Let the guitar’s warm steel-string tones carry the harmony with gentle brush strums and natural room ambience; add only restrained hand percussion, such as soft palm taps, for a light pulse. Bright major-key phrasing and an open, fresh mix evoke air after rain.
Carry the selected style text into the music-generation task and prepare its other required inputs. Retain both requests when reviewing how the written direction relates to the audio result.
Two short keyword lists returned expanded style descriptions. The harbor brief adds a 76 BPM pace, nylon-string picking and restrained bass and percussion; the brief about a morning after rain describes a clear vocal, steel-string guitar and light hand percussion. Compare each full result with the keywords that supplied its direction.
gentle acoustic folk, nylon guitar, soft upright bass, brushed percussion, quiet harbor at dusk
{
"model": "boost-music-style",
"input": {
"content": "gentle acoustic folk, nylon guitar, soft upright bass, brushed percussion, quiet harbor at dusk"
}
}Gentle acoustic folk at an unhurried 76 BPM, led by close-miked nylon-string guitar with delicate fingerpicking and natural fret noise. Soft upright bass moves in restrained root-and-fifth lines beneath brushed snare and muted shaker. Intimate, understated dynamics, warm tape saturation, subtle room reverb, and spacious pauses evoke a quiet harbor at dusk.
hopeful indie folk, clear lead vocal, acoustic guitar, light hand percussion, morning after rain
{
"model": "boost-music-style",
"input": {
"content": "hopeful indie folk, clear lead vocal, acoustic guitar, light hand percussion, morning after rain"
}
}Hopeful indie folk at an easy mid-tempo, stripped to fingerpicked acoustic guitar and a clear, close-miked lead vocal. Let the guitar’s warm steel-string tones carry the harmony with gentle brush strums and natural room ambience; add only restrained hand percussion, such as soft palm taps, for a light pulse. Bright major-key phrasing and an open, fresh mix evoke air after rain.
Prepare written keywords describing the music’s genre, mood or featured instruments. Use the reviewed expanded description as a style direction in a subsequent music-generation workflow, together with the other fields required by that task.
Prepare a short genre-and-mood description and expand it into a fuller musical direction. Review the text before using it in a song or instrumental test.
Describe the scene’s mood and featured instruments. Use the returned style text to discuss the arrangement and listening character of a scene-based music concept.
Name the instruments and textures to emphasize, then review the expanded description. Use the selected details to prepare a more specific music-generation style.
Review an expanded style direction and combine it with the title and prompt required by the selected music task. Inspect the audio result against the same written direction.
Prepare the core keywords and select the useful returned description. Share the reviewed text in a creative brief or project handoff to make the desired music easier to discuss.
Adjust the keywords around findings from earlier music tests and request a new description. Compare the returned style text before choosing the direction for the next request.
The price table reads the current catalog rate for a new processing request in this task. Preparing source music or submitting another music operation uses that operation’s own price. Review the current rate before submitting, retain the returned processing task ID and use the completed result when planning the next step.
| Tool | Provider | Operation | Input | Result type | Current rate |
|---|---|---|---|---|---|
| Boost Music Style | PoYo | Style enhancement | Genre, mood and instrument keywords in content | Expanded music-style text | $0.005 / request |
Prepare the source input, then review the completed result and its next use.
Open the task’s JSON mode and prepare input.content with the style direction, plus the same text in input.style for the current form validation. Review the current request rate, submit the task and inspect the completed result JSON for the returned style. Select the useful description before using it in another request.
Use the existing task, current request rate and API documentation to connect source preparation, result review and the next music workflow.
Prepare written keywords describing the music’s genre, mood or featured instruments. Use the reviewed expanded description as a style direction in a subsequent music-generation workflow, together with the other fields required by that task.
Compare the returned style text with the original keywords and intended project. Review its genre, instrumentation, rhythm and emotional direction, then select or edit the description you want to use. Retain the accepted style with the later music request so you can assess the result against that direction.
The price table reads the current catalog rate for a new processing request in this task. Preparing source music or submitting another music operation uses that operation’s own price. Review the current rate before submitting, retain the returned processing task ID and use the completed result when planning the next step.
Submit model: boost-music-style with input.content. Save the returned task_id, query music details and inspect the style text returned in files. Keep the original keywords with the reviewed description for later music-generation work.
Authenticate with your Vidgo API credentials and submit the exact model identifier with the required input fields. Retain the returned processing task_id so your application can track the operation and retrieve its result. Use the task documentation when configuring any completion notification.
Query /api/generate/detail/music?task_id=YOUR_PROCESSING_TASK_ID with the returned processing ID, or handle the configured notification. When the task finishes, inspect the operation-specific result in files and retain its source association. Compare the returned style text with the original keywords and intended project. Review its genre, instrumentation, rhythm and emotional direction, then select or edit the description you want to use. Retain the accepted style with the later music request so you can assess the result against that direction.
Provide concise keywords for genre, mood and instrumentation, then obtain a more detailed music-style description. Boost Music Style uses input.content to express the intended direction and returns style information through music details. Read the expanded text, select the details that fit your project and use the reviewed description in a music-generation request.
Read music-tool introductions, API guides and platform comparisons to understand required sources, returned results, request costs and follow-up workflows.
