Disturbingly Beautiful is 20 full-length ambient compositions built on a single unified sonic identity.

Every track shares the same key, the same instrument family, and the same emotional signature — dark, serene, and quietly unsettling.

Drop any track into your project and it belongs.

Play them back to back and you won't hear the seams.

Preview here -> https://youtu.be/Iep1hVTIXro

This isn't a playlist. It's a soundtrack.

What's inside:

• 20 original compositions (5+ minutes each)

• 106 minutes of total runtime

• All tracks in G# minor

• WAV (44.1kHz/16-bit)

  Track list:

01. Porcelain Vein (5:27)

02. Soft Collapse (5:18)

03. Neon Requiem (5:22)

04. Tender Fracture (5:22)

05. Glass Hymn (5:18)

06. Velvet Decay (5:16)

07. Still Gorgeous (5:18)

08. Luminous Wound (5:19)

09. Silk Erosion (5:11)

10. Pretty Damage (5:27)

11. Warm Static (5:19)

12. Hollow Bloom (5:21)

13. Ache in Amber (5:25)

14. Fading Gilded (5:19)

15. Crystalline Rot (5:16)

16. Beautiful Wreckage (5:22)

17. Moth Light (5:17)

18. Gentle Severance (5:19)

19. Dusk Membrane (5:15)

20. Last Beautiful Thing (5:13)

Built for game development:

These are full compositions that evolve over their runtime — not loops, not stems, not 30-second clips stretched thin. Each track develops and breathes, giving players an atmosphere that shifts naturally without ever demanding attention.

The unified key signature means any track can follow any other without harmonic clash. Shuffle them, sequence them, or let your audio engine pick at random — the result always sounds intentional.

Stream-safe. These tracks are not registered with any Content ID service. Streamers and content creators using your game will never receive a copyright claim from this music.

License:

Technical Note: Modeling Tools Editor Mode plugin is included as a default Unreal Engine 5 plugin. It is not utilized by this product.

Commercial and non-commercial use permitted. Edit, remix, rename, and adapt freely. No attribution required. Not permitted: redistribution of raw files, resale as standalone audio product, or use as AI/ML training data.