Suno V6 Wild is a V6 family model officially designed for creative exploration, emphasizing richer, less predictable musical textures and creative variation. Its platform invocation ID is chirp-v6-wild, making it suitable for exploring unconventional timbres, rhythms, and arrangement directions, or finding unexpected expressions for the same lyrics. Start by selecting valuable elements from multiple directional drafts, then continue creating using the operations supported by this platform.
Submit requests to the public API at api.acedata.cloud using the documented parameters, then use the results in your application.
Input parameters and result formats vary by service. Use the public API for this model and follow its guide for generation, task retrieval and editing operations.
Clarify capacity, inputs and outputs, and invocation methods before selecting a model.
The values above are input ranges for this platform entry and do not represent the model's native capacity or guarantee final output quality.
Learn what chirp-v6-wild can bring to your work.
Wild is officially positioned to explore richer, more uncertain results. It is suited to incorporating sharply contrasting instrumentation, textures, and moods into creative intent, with a focus on finding melodic or sonic elements worth developing further; not every draft needs to conform to the same standard answer.
When creating, use variety to adjust diversity between results, and in custom mode try weirdness and style_influence to express experimentalism and stylistic alignment tendencies respectively. It is recommended to lock in the lyrics and adjust one item at a time, comparing changes in arrangement and vocals rather than increasing all parameters at once.
Generated results are delivered as structured information, which can include song ID, title, lyrics, status, actual duration, and audio_url, making it easy for applications to build work lists and preview interfaces. Time-consuming tasks can use async to return a task ID, or be configured with callbacks to receive results, handling creative submission separately from finished-work presentation.
Start with specific tasks to find where the model can be effective.
Put already-written verses, choruses, and bridges into lyric, pair them with title and style, and generate song drafts in custom mode. The deliverables are previewable audio and work information, making it easier for lyricists to compare how lyrics are expressed in music before deciding which sections are worth further revision or formal production.
Write a brief music description for a travel video, program intro, or product showcase, including mood, genre, and intended use; when vocals are not needed, enable the instrumental option in inspiration mode. First use generated audio to filter soundtrack directions, then edit according to the video's rhythm, without treating the desired duration as a precise timing tool.
Keep the same lyrics and basic style around the same event theme, adjust diversity or experimental parameters, and generate different options for the team to preview. Save the request settings and song ID for each run, grounding song-selection discussions in specific audio; suitable for advertising music proposals, event song concepts, and creative instruction.
Choose based on task complexity, input materials, and expected results.
chirp-v6-wild, chirp-v6, and chirp-v6-mini are different invocation models and should not be treated as aliases for one another. For routine creation, you can start with the recommended chirp-v6; when evaluating whether Wild better matches your aesthetic, use the same lyrics and style for listening comparisons. Wild is officially defined as a richer, less predictable direction for exploration, while Mini focuses on speed and efficiency; your choice should still be based on actual works and workflow needs.
When you only have a theme idea, prioritize inspiration mode and keep the description concise; when lyrics and sections are already defined, choose custom mode for easier comparison of works. When enhanced generation is needed, generate's max_mode should be used together with custom=true. Confirm the basic result first, then add adjustments; this makes it easier to determine the cause of changes than stacking all settings at once.
Arrange the input first, then connect it to the corresponding application workflow.
Prepare a theme and lyrics you want to retain, allowing greater variation in instrumentation, texture, and section progression.
Explicitly select chirp-v6-wild. For theme-based creation, use prompt; for custom creation, organize lyric, style, and title according to this model's limits. Save the task_id, retrieve audio_url after the result is complete, and archive it together with the work ID and creation settings.
Design tasks directly from the following inputs and acceptance priorities.
Describe “a contrast between a midnight city, rough percussion, and ethereal vocals,” and use chirp-v6-wild to generate multiple draft directions; record the changes each time.
Listen for unexpected but valuable melodies, timbres, or rhythms, and use selected elements in subsequent creation; Wild's exploratory positioning does not guarantee that every result will match expectations.
Before formal use, understand the output quality and capability scope.
Answers to common questions when using chirp-v6-wild.
They are not the same invocation value. This platform's documentation lists chirp-v6-wild, chirp-v6, and chirp-v6-mini separately. When using Wild, you need to explicitly specify model=chirp-v6-wild; the three cannot be used interchangeably as invocation aliases. When comparing versions, it is recommended to keep the lyrics, style, and other settings consistent, then choose based on listening.
Such a judgment should not be made based on the name alone. If you want to try more varied creations, you can adjust variety and try weirdness in custom mode. They express different adjustment directions; whether the result meets experimental music needs still depends on comparing the actual audio.
Yes. Inspiration mode uses custom=false and describes the song idea with a prompt of up to 500 characters; in custom mode, if lyric is not submitted, lyric_prompt can be used to guide lyric generation. If you already have complete lyrics, submit lyric directly to better preserve your own content structure.
Custom generation can submit duration as an integer from 10–360 seconds, but this is only an expected length and does not guarantee that the finished work will strictly reach it. After receiving the work, read the actual duration and listen to the ending; if it will be used for a fixed-length video, allowing room for editing and fade-out processing is more appropriate.
Submit a generate request to POST /suno/audios and specify Wild. You can set async=true to first obtain task_id, then query the task; you can also provide callback_url to receive the result. After completion, use audio_url to obtain the audio, and save the song ID and creation parameters.
Choose a development approach or application suited to this model and follow its setup guide.
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$0.0532· per generation
You pay$71,316for 750,000 credits · $0.0951 / credits46% OFF
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This is only a basic call example. See the full docs for more parameters and advanced usage.
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