
Morning acoustic
Fingerpicked guitar with soft brushed drums creates a warm, quiet morning atmosphere.
Prompt
Warm instrumental indie folk, fingerpicked acoustic guitar, soft brushed drums, quiet morning.
Lyria 3.5 turns prompts or lyrics into complete songs for songwriting, video soundtracks, and music ideas. Try it online and view pricing and API examples.
Provider: Google
Category: music generation
Endpoint: /v1/tasks
Status: Available
Cost: See live page pricing
Lyria 3.5 turns prompts or lyrics into complete songs for songwriting, video soundtracks, and music ideas. Try it online and view pricing and API examples.
Pricing
Standard Usage
Use section tags such as [Verse] and [Chorus]. Provide lyrics or a music description; At least 1 characters
Set a title for this song
Beats per minute, at least 1. Leave empty for an unspecified tempo
Requested duration, 1–240 seconds. Actual audio length may vary; leave empty to omit; Range: 1 - 240, Integer only
Ready for generation
Configure your parameters and click "Run" to see the output here.
Start with a morning music description to generate an acoustic folk track led by fingerpicked guitar and soft brushed drums.

Fingerpicked guitar with soft brushed drums creates a warm, quiet morning atmosphere.
Prompt
Warm instrumental indie folk, fingerpicked acoustic guitar, soft brushed drums, quiet morning.
Choose an adjacent route for music, single-speaker speech, or multi-speaker dialogue.
Choose custom lyrics, automatic lyrics, or instrumental generation.
Use three steps to organize the input, validate the audio, and integrate the API.
Provide a music brief, lyrics, or both; at least one is required.
Optionally add a title, BPM, and requested duration to guide the song.
Reuse the model ID and input object to create an async task and retrieve the audio result.
Copy a minimal request. See the documentation for complete parameters, task retrieval, and errors.
POST /v1/taskslyria-3.5The create request immediately returns a taskId; audio generation continues asynchronously.
LYRIA 3.5
Google DeepMind’s music generation model brings melody, lyrics, vocals, and arrangement together in structured, expressive compositions.

Lyria 3.5 is Google DeepMind’s AI music generation model for songs and instrumental compositions created from text. Genre, mood, instrumentation, and vocal delivery establish a creative direction that the model develops into melody, accompaniment, and song sections.
Lyria 3.5 advances melodic richness, understanding of lyric structure, and vocal expression. Its music can include contrasts between verses and choruses, changes in instrumental layers, and a more nuanced emotional performance alongside the central musical theme.
Its range spans acoustic folk and pop through R&B, electronic music, and cross-genre arrangements. Multilingual singing and creative control over tempo and duration support songwriting, video soundtracks, programme themes, and musical exploration.
Lyria 3.5 combines melody, lyrics, and vocal performance with varied genres, instrumentation, and dynamics to create complete songs.
01
Lyria 3.5 combines melody, harmony, rhythm, and accompaniment into songs with verses, choruses, and bridges. Melodic ideas can develop across sections as the arrangement grows from a sparse opening into a fuller sound, giving the composition room for progression and contrast.
Richer melodic structures are a focus of this model generation. A pop chorus opening up, the instrumental layers of a folk arrangement, or the changing intensity of an electronic track offer different ways to develop a musical theme and carry an emotional thread through a song.
02
Lyria 3.5 supports songs built around a theme as well as compositions based on existing lyrics. Characters, scenes, and emotions in the text can provide a narrative thread, with verses developing the story and choruses concentrating its central theme.
Build a music direction with a clear mood, rhythmic entrance, and ending for branded clips.
Prepare themes for intros, outros, and transitions while leaving room for narration.
Explore looping, narrative, or character-theme arrangements around a scene and mood.
Quickly explore melody, lyrics, vocals, and instrumentation before detailed production.
Use the Playground to explore Lyria 3.5’s musical expression with a music description or lyrics.
Open PlaygroundYes. Describe the theme, vocal language, and genre so the model can shape the music and vocal performance, including the song lyrics.
Put the existing words in lyrics, and put genre, instruments, and mood in prompt. At least one of lyrics or prompt is required; when both are present, they guide lyrics and musical direction separately.
State instrumental or no vocals in the text description and specify the instruments, rhythm, and atmosphere you want. For example: an instrumental acoustic-guitar backing track with soft brushed drums, warm and gentle.
Use section markers such as [Verse], [Chorus], and [Bridge] in lyrics, and describe the emotion and movement of each section. For example, let the verse develop the story, repeat the central line in the chorus, and change the mood in the bridge to create contrast.
BPM describes speed and groove, while duration describes how long the piece should run. Requested duration guides the overall development and is not a hard cut on the generated result.
Keep the lyrics and theme the same, then change one element at a time, such as replacing acoustic guitar with piano or changing drum intensity. When using a seed, keep the other inputs consistent for comparison; a fixed seed still does not guarantee identical results.
Improved lyric instruction following and structural awareness place more emphasis on the relationship between sections. A recurring chorus, a narrative verse, and a bridge that changes the emotional direction can work with the melody and vocal performance to turn written material into a song.
03
The vocal improvements in Lyria 3.5 focus on naturalness, pronunciation, and emotional expression. Singing can take on gentle, bright, low, or powerful qualities, with tone and delivery creating different degrees of intimacy and intensity.
The relationship between a voice and its accompaniment also shapes a song’s character. Sparse acoustic instrumentation brings the singer and lyrics forward, rhythm-led R&B gives phrasing a different role, and layered harmonies add space and depth to a chorus. These elements can be combined within a single musical composition.
04
Lyria 3.5 generates songs across multiple languages and musical styles, including pop, folk, electronic music, and soul. The vocal language, instrumental arrangement, and rhythm work together to shape a composition’s sound, extending beyond a simple change of lyric text.
French pop, Hindi acoustic songwriting, and Latin dance music illustrate this range of musical directions. The cadence of a language interacts with the beat, while light accompaniment, gentle delivery, or a stronger rhythmic emphasis suits different themes and emotional settings.
05
Lyria 3.5 can bring different genres and instruments into one composition. Acoustic guitar, keyboards, bass, brass, and electronic textures can take melodic, harmonic, or rhythmic roles, producing arrangements with light, warm, retro, or distinctly electronic qualities.
Combinations such as bossa nova with trip-hop, or jazz harmony with Caribbean rhythms, illustrate the possibilities of cross-genre music. A shared beat, harmonic foundation, and sectional structure give the different elements a relationship and keep the composition centred on a musical idea.
06
Lyria 3.5 offers creative control over tempo and duration, helping music take different rhythmic and expressive forms. A slower pace creates space, a lively groove brings movement, and duration influences how sections unfold, when a theme appears, and how a piece concludes.
Dynamics and arrangement density add further variation. Sparse instrumentation can support a voice or narration, building drums and harmonies can increase emotional intensity, and light electronic textures can sustain a detailed rhythmic flow. These qualities lend themselves to songs, programme music, and video soundtracks.