Rose Tattoo Decal Set - 6 Designs x 7 Colours, 4K + Emission Masks | Any Avatar

All six rose designs in one pack: Original, Compass, Thorned Stem, Shards, Octagram, Vines. Each one has a different silhouette, so you can pick by where it goes and how much skin it covers.

Every design comes in 7 colours (red, blue, purple, green, gold, cyan, magenta), each with a black-ink and a white-ink version, plus its own emission mask. 84 decal PNGs and 6 masks, all at 4096 x 4096.

The files are identical to the single products - same resolution, same count. The set is the six singles at about a third off. Buy a single if you only want one design.

Made with generative AI. Graphics in this pack were produced with image-generation AI (Stable Diffusion based models licensed for commercial use), then curated, cut out and packaged by hand.

What's inside

• 01_rose/ - Original
• 02_rose_b21/ - Compass
• 03_rose_b31/ - Thorned Stem
• 04_rose_b33/ - Shards
• 05_rose_b34/ - Octagram
• 06_rose_b36/ - Vines
• Each folder: black + white PNG (red), emission mask, colors/ with 12 PNGs, lilToon .mat
• 84 decal PNGs + 6 emission masks, 4096 x 4096
• README.pdf - setup and license

Specs

• 4096 x 4096 px transparent PNG (RGBA)
• 6 designs, 7 colours each. One emission mask per design, shared across its colours
• Identical files to the single products
• Not tied to any avatar - works on any model, PC or Quest, and on VRoid skin textures
• No unitypackage. Plain PNG, works without Unity

How to use

• Pick a design folder, then follow the same steps as the singles
• lilToon: Main Color 2nd = the black PNG, tick Decal, position it
• Black outfit or deep skin: use the white PNG
• Emission: load that design's emission PNG, set the colour, raise the intensity

License

Royalty-free. Use them in commercial and non-commercial work — games, TRPG sessions, videos, streams, VTuber overlays, print. No credit required. You may edit, crop, recolor and combine the files freely.

Not allowed: redistributing or reselling the assets themselves, claiming authorship, or using them as training data for AI / machine learning models.