Experience the next generation of AI music creation with enhanced vocals, smarter prompts, and unprecedented creative freedom. Generate professional-quality music up to 8 minutes long.
GSong 2.0 significantly expands its library of musical styles, offering more accurate representation of specific genres while supporting creative cross-genre fusion. Combine styles like Midwest emo rock + neo-soul or EDM + folk, and the model will generate smooth, cohesive hybrids with natural transitions between styles.
The vocal model has been upgraded, delivering a wider vocal range and richer emotional expression. From soft, delicate singing to powerful, soaring vocals (including vibrato), the system now maintains better control with significantly reduced background noise and digital artifacts.
GSong 2.0 excels at capturing and generating intricate musical details, including layered instrumentation and natural tonal changes. Prompts describing elements like "warm nostalgic tone" or "gentle whistled melody" are now more accurately reflected in the output with fuller, clearer depth.
The model now handles complex, descriptive prompts with significantly improved comprehension and execution. Use natural, sentence-style descriptions rather than relying solely on comma-separated keywords. The built-in Prompt Enhancement assistant helps expand simple ideas into rich, detailed descriptions.
Performance-wise, GSong 2.0 offers a major boost in generation speed, allowing more iterations within limited time. The maximum song length has increased from 4 minutes to 8 minutes, with maintained coherence and audio quality throughout longer compositions.
GSong 2.0 features enhanced audio balance and stability. The overall sound output is more even and full-bodied, with reduced high-frequency noise and degradation. Consistent sound quality is maintained across the entire track, even for extended compositions.
GSong 2.0 excels at understanding detailed, descriptive prompts. Instead of listing keywords, try using conversational, segmented instructions:
This step-by-step approach significantly improves the match between generated music and your intended outcome.
Use square brackets [ ] in your prompts or lyrics to define the structure and style of each section:
This method helps the model adapt the arrangement for each phase, allowing dynamic transitions and avoiding monotonous compositions.
If you hit a creative block, use the built-in Prompt Enhancement tool. Simply input a basic idea—such as a mood or genre—and the system will auto-generate a rich, detailed draft that you can refine.
Don't forget the AI Lyric Generator: when you want a vocal track but don't have lyrics ready, use the tool to quickly generate thematic lyrics that perfectly match your musical vision.
These mainstream, melody-driven styles benefit most from GSong 2.0's enhanced vocal and mixing capabilities. Country music, which requires clear vocals and strong storytelling, is handled remarkably well.
These extreme or complex genres still face limitations, where vocal techniques (like growling or screaming) or experimental elements are more difficult for the model to emulate effectively.
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