| Key features | - Emotion-aware vocal synthesis that matches emotional sentiment of lyrics
- Full stem downloads for vocals, drums, bass, synths, and guitars
- Over 50 professional genres including pop, rock, hip-hop, electronic, country, R&B, jazz, classical, lo-fi, synthwave, and ambient
- Studio-quality mastering that balances frequencies, dynamics, and stereo width
- Song generation in under 30 seconds
- AI co-writer to complete verses, choruses, and bridges
- Customizable parameters for mood, tempo, and energy
- 100% royalty-free ownership with full commercial rights
- Advanced NLP analysis of lyrics for emotional patterns, syllable counts, and rhyme schemes
- Batch generation feature and lyrics to song API
| - Text to image generation with multiple AI models
- Image to video generation
- 2D and 3D scene composition
- Background removal and editing
- Image to 3D mesh conversion
- Character posing and identity transfer
- Project saving and private library storage
- Video timeline editing and frame extraction
- Multiple AI video models with configurable parameters
- Moodboard and reference organization
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| What makes it different | - Generates radio-ready professional songs in 30 seconds with no musical training or equipment required
- 100% royalty-free ownership with zero restrictions for commercial use on any platform
- AI understands emotional content and matches vocals to the sentiment of lyrics
- Full creative control with downloadable separate stems for remixing and post-production
- Eliminates copyright claims for content creators with original, custom-generated background music
| - Visual composition before AI generation - arrange your shot manually to establish intent before submitting to models
- Free manual editing with credits only for AI operations - no charges for compositing, arranging, or saving projects
- Integrated 3D scene composition within a single browser workspace
- Access to diverse AI models including MiniMax, Seedance, Kling, and GPT Image
- Built on authorized open-source creative tools with transparent attribution
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