{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-google-lyria-3-pro-preview","slug":"google-lyria-3-pro-preview","name":"Google: Lyria 3 Pro Preview","type":"model","url":"https://openrouter.ai/models/google~lyria-3-pro-preview","page_url":"https://unfragile.ai/google-lyria-3-pro-preview","categories":["voice-audio","testing-quality"],"tags":["google","api-access","text","image","audio"],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"openrouter-google-lyria-3-pro-preview__cap_0","uri":"capability://image.visual.text.to.music.generation.with.lyrical.control","name":"text-to-music generation with lyrical control","description":"Generates full-length songs (typically 1-3 minutes) from text prompts and optional lyrical input, using Google's proprietary diffusion-based music synthesis architecture trained on licensed music data. The model accepts natural language descriptions of musical style, mood, instrumentation, and tempo, then synthesizes coherent audio at 48kHz sample rate with maintained harmonic structure across the generated duration. Integration occurs via REST API calls to the Gemini API endpoint with async job polling for generation completion.","intents":["I want to generate background music for a video or podcast from a text description","I need to create a full song with specific lyrics and musical style programmatically","I want to prototype music ideas quickly without hiring musicians or producers","I need to generate royalty-free music at scale for content creation workflows"],"best_for":["content creators and video producers building automated music pipelines","indie game developers needing procedural soundtrack generation","music app developers integrating AI composition as a core feature","teams prototyping music-driven applications without music production expertise"],"limitations":["Generation latency typically 30-120 seconds per song depending on length and complexity","Output quality and coherence degrades for prompts with conflicting musical constraints (e.g., 'death metal lullaby')","No real-time streaming output — must wait for full generation completion before audio is available","Limited control over specific instrumental arrangements or mixing parameters beyond high-level style descriptors","Pricing at $0.08 per full-length song adds non-trivial costs at scale (1000 songs = $80)","No built-in lyrics synchronization — generated audio may not perfectly align with provided lyrics"],"requires":["Google Cloud account with Gemini API access enabled","Valid API key for authentication","HTTP client capable of async polling or webhook handling","Audio playback or processing library supporting 48kHz WAV/MP3 format"],"input_types":["text (natural language music description)","text (optional lyrical content)","structured parameters (tempo, key, duration, style tags)"],"output_types":["audio (48kHz WAV or MP3 format)","metadata (generation timestamp, model version, usage tokens)"],"categories":["image-visual","audio-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-google-lyria-3-pro-preview__cap_1","uri":"capability://image.visual.style.conditioned.music.generation.with.semantic.prompting","name":"style-conditioned music generation with semantic prompting","description":"Accepts high-level semantic descriptions (genre, mood, instrumentation, cultural style, tempo range) and translates them into latent music representations via a learned prompt encoder, then synthesizes audio that matches the specified aesthetic without requiring technical music notation or MIDI input. The model uses a two-stage pipeline: semantic understanding via transformer-based prompt encoding, followed by diffusion-based audio synthesis conditioned on the encoded representation. Supports natural language variations like 'upbeat indie pop with lo-fi production' or 'melancholic orchestral with strings and piano'.","intents":["I want to generate music matching a specific mood or genre without knowing music theory","I need to create variations of a musical style programmatically","I want to explore different musical directions for a project quickly","I need to generate culturally-specific music styles (e.g., jazz, K-pop, classical) from text"],"best_for":["non-musicians and content creators who want to generate music without technical music knowledge","product teams building music discovery or recommendation features","creative agencies automating music asset generation for campaigns","researchers studying music generation and style transfer"],"limitations":["Semantic understanding is limited to training data distribution — unusual or niche style combinations may produce generic fallbacks","No explicit control over specific instruments or arrangement details — only high-level style guidance","Cultural or regional music styles may be underrepresented if training data is Western-music-heavy","Prompt engineering required for consistent results — vague descriptions produce unpredictable outputs","No A/B testing or iterative refinement within a single API call — requires multiple generations to explore variations"],"requires":["Google Cloud account with Gemini API enabled","Valid API key for authentication","Understanding of music terminology (genre, mood, instrumentation names) for effective prompting","Async job handling capability for polling generation status"],"input_types":["text (natural language style description)","text (mood/emotion descriptors)","text (genre and instrumentation hints)"],"output_types":["audio (48kHz WAV/MP3)","generation metadata (style tags extracted from prompt, confidence scores)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-google-lyria-3-pro-preview__cap_2","uri":"capability://automation.workflow.async.batch.music.generation.with.job.polling","name":"async batch music generation with job polling","description":"Provides asynchronous API endpoints for submitting music generation requests and polling for completion status, enabling non-blocking workflows where generation jobs run server-side while client applications continue execution. Implements standard async patterns: request submission returns a job ID, client polls a status endpoint at intervals, and completed generations are retrieved via a results endpoint. Supports batch submission of multiple generation requests with individual job tracking, enabling pipeline parallelization and cost-aware scheduling.","intents":["I want to generate multiple songs in parallel without blocking my application","I need to integrate music generation into a larger content pipeline with other processing steps","I want to queue music generation requests and process them asynchronously","I need to monitor generation progress and handle failures gracefully in production"],"best_for":["backend engineers building content generation pipelines","teams running batch music generation jobs on a schedule","applications requiring non-blocking user experiences during music generation","systems integrating music generation with other async services (video encoding, image processing)"],"limitations":["Polling-based status checking adds latency and requires client-side retry logic — no native webhook support documented","Job retention period unknown — unclear how long results remain available after generation completes","No built-in rate limiting or queue management — client must implement backpressure to avoid API quota exhaustion","Batch size limits not documented — unclear if there are constraints on concurrent job submissions","Error handling for failed generations requires custom retry logic — no automatic retries or exponential backoff built-in"],"requires":["HTTP client with async/await or callback-based request handling","Job state management (in-memory cache or database) to track pending generations","Polling loop with configurable retry intervals and maximum retry attempts","Error handling for network timeouts, API rate limits, and generation failures"],"input_types":["text (music description)","structured job metadata (priority, user ID, tags)"],"output_types":["job ID (string identifier for tracking)","status response (pending/processing/completed/failed)","audio file (upon completion)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-google-lyria-3-pro-preview__cap_3","uri":"capability://image.visual.lyric.aware.music.composition.with.semantic.alignment","name":"lyric-aware music composition with semantic alignment","description":"Accepts user-provided lyrics or lyrical themes and generates music that maintains semantic and emotional alignment with the text content, using a joint embedding space that encodes both lyrical meaning and musical characteristics. The model conditions the diffusion process on lyrical embeddings, ensuring generated melodies and harmonies reflect the emotional arc and narrative of the lyrics. Supports partial lyrics (chorus only, verse structure) or full song lyrics, with the model inferring musical phrasing and cadence to match lyrical structure.","intents":["I want to generate music that matches the emotional tone of specific lyrics","I need to create a complete song given only lyrics, without composing music manually","I want to ensure generated music reinforces the narrative or message of my lyrics","I need to generate backing tracks that align with pre-written song lyrics"],"best_for":["songwriters and lyricists wanting to quickly compose full songs","content creators with existing lyrics needing musical accompaniment","music education tools teaching composition and lyrical-musical relationships","applications generating personalized songs from user-provided text"],"limitations":["Lyrical alignment quality depends on lyrical clarity — abstract or metaphorical lyrics may produce musically incoherent results","No explicit control over melody contour or harmonic progression — alignment is learned implicitly","Rhyme scheme and meter constraints not explicitly enforced — generated music may not perfectly match lyrical rhythm","Language support likely limited to English and possibly other high-resource languages in training data","Lyrical content filtering may reject explicit or controversial lyrics, limiting creative expression","No iterative refinement — cannot adjust music to better match specific lyrical phrases without full regeneration"],"requires":["Google Cloud account with Gemini API access","Valid API key","Lyrical content (full song, verse, chorus, or thematic description)","Understanding that generated music may require post-processing or manual adjustment"],"input_types":["text (full song lyrics)","text (partial lyrics or lyrical themes)","text (emotional or narrative descriptors)"],"output_types":["audio (48kHz WAV/MP3 with vocals or instrumental backing)","metadata (lyrical alignment confidence, detected emotional tone)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-google-lyria-3-pro-preview__cap_4","uri":"capability://tool.use.integration.rest.api.integration.with.gemini.api.ecosystem","name":"rest api integration with gemini api ecosystem","description":"Exposes music generation capabilities through standard REST endpoints compatible with the Google Gemini API ecosystem, enabling integration with existing Google Cloud workflows, authentication systems, and monitoring infrastructure. Requests are authenticated via OAuth 2.0 or API key, with responses following Gemini API conventions for error handling, rate limiting, and metadata. Supports standard HTTP methods (POST for generation, GET for status) with JSON request/response bodies, enabling integration with any HTTP client or SDK.","intents":["I want to integrate music generation into my existing Google Cloud application","I need to use the same authentication and billing infrastructure for music generation as my other Gemini API calls","I want to monitor music generation usage through Google Cloud's standard monitoring and logging","I need to integrate music generation with other Google Cloud services (Cloud Functions, Pub/Sub, Dataflow)"],"best_for":["teams already using Google Cloud and Gemini API for other AI tasks","organizations with existing Google Cloud authentication and billing infrastructure","developers building multi-modal applications combining text, image, and music generation","enterprises requiring integration with Google Cloud's monitoring, logging, and compliance tools"],"limitations":["Vendor lock-in to Google Cloud ecosystem — no multi-cloud or on-premises deployment options","API rate limits and quota management depend on Google Cloud tier — may require enterprise plan for high-volume usage","Authentication requires Google Cloud account setup and credential management — adds operational overhead","Pricing is per-song rather than per-token, making cost prediction difficult for variable-length generations","No local/offline mode — all generation requires internet connectivity and API calls"],"requires":["Google Cloud account with billing enabled","Gemini API enabled in Google Cloud project","Valid API key or OAuth 2.0 credentials","HTTP client library (curl, requests, axios, etc.)","Understanding of Google Cloud authentication and authorization patterns"],"input_types":["JSON (music generation request with prompt, style, duration parameters)","HTTP headers (authentication credentials, content-type)"],"output_types":["JSON (job ID, status, metadata)","audio file (binary WAV/MP3 data)","error responses (standard HTTP status codes with error details)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-google-lyria-3-pro-preview__cap_5","uri":"capability://image.visual.high.fidelity.48khz.audio.synthesis.with.professional.quality","name":"high-fidelity 48khz audio synthesis with professional quality","description":"Generates audio at 48kHz sample rate (professional studio standard) using diffusion-based synthesis that produces perceptually high-quality output with minimal artifacts, noise, or distortion. The synthesis pipeline operates in the frequency domain or learned latent space to maintain audio coherence across long durations (1-3 minutes), with post-processing to ensure smooth transitions and consistent loudness levels. Output is suitable for professional music production, streaming platforms, and broadcast without additional mastering or enhancement.","intents":["I want to generate music that meets professional audio quality standards for streaming or broadcast","I need to create music that doesn't require additional mastering or post-processing","I want to generate audio compatible with professional audio editing tools and DAWs","I need to produce music with minimal artifacts or quality degradation"],"best_for":["professional music producers and studios using AI as a composition tool","streaming platforms and content services requiring broadcast-quality audio","music licensing and distribution platforms needing high-fidelity generated content","game and film studios requiring professional-grade background music"],"limitations":["48kHz output may be overkill for web/mobile applications — adds file size without perceptual benefit","Audio quality still depends on input prompt clarity — poor descriptions produce poor-quality output regardless of synthesis fidelity","No explicit control over loudness normalization or dynamic range — output may require level adjustment for consistent playback","Artifacts or distortion may still occur in complex musical passages or unusual style combinations","No lossless output format (e.g., FLAC) documented — only lossy MP3 or WAV mentioned"],"requires":["Audio playback or processing system supporting 48kHz sample rate","Storage capacity for high-quality audio files (48kHz WAV ~500MB per hour)","Audio editing software compatible with 48kHz WAV format (Audacity, Pro Tools, Logic Pro, etc.)"],"input_types":["text (music description)","optional quality/fidelity parameters"],"output_types":["audio (48kHz WAV or MP3)","metadata (sample rate, bit depth, duration)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Google Cloud account with Gemini API access enabled","Valid API key for authentication","HTTP client capable of async polling or webhook handling","Audio playback or processing library supporting 48kHz WAV/MP3 format","Google Cloud account with Gemini API enabled","Understanding of music terminology (genre, mood, instrumentation names) for effective prompting","Async job handling capability for polling generation status","HTTP client with async/await or callback-based request handling","Job state management (in-memory cache or database) to track pending generations","Polling loop with configurable retry intervals and maximum retry attempts"],"failure_modes":["Generation latency typically 30-120 seconds per song depending on length and complexity","Output quality and coherence degrades for prompts with conflicting musical constraints (e.g., 'death metal lullaby')","No real-time streaming output — must wait for full generation completion before audio is available","Limited control over specific instrumental arrangements or mixing parameters beyond high-level style descriptors","Pricing at $0.08 per full-length song adds non-trivial costs at scale (1000 songs = $80)","No built-in lyrics synchronization — generated audio may not perfectly align with provided lyrics","Semantic understanding is limited to training data distribution — unusual or niche style combinations may produce generic fallbacks","No explicit control over specific instruments or arrangement details — only high-level style guidance","Cultural or regional music styles may be underrepresented if training data is Western-music-heavy","Prompt engineering required for consistent results — vague descriptions produce unpredictable outputs","builder identity is not verified yet","no observed match outcomes 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