Low-Poly Stylized Mushrooms

🍄 Stylized Mushroom Asset Pack: 16 Low-Poly Species for Your Game Worlds! 🍄

A downloadable asset pack for 3D and 2D projects

Bring your game environments to life with this vibrant collection of 16 stylized mushroom species! Designed with care and inspiration from real-world fungi, this low-poly pack is perfect for RPGs, farming sims, survival games, or any project that needs a little mushroom magic!

🛠️ What's Included:

• File Formats: .blend, .fbx, and .glb. ready to drop into your game engine or workflow!

• Single Texture: One optimized .png texture for easy customization and performance. There is blank space within the texture to make room for future additions to this pack. 

• Mushroom Variants: Most species include large, medium, small, and "bunch" versions

• Versatile Use: Great for 3D or 2D workflows (perfect for rendering sprites from 3D models!)

🍄 Featured Mushroom Species:
Amethyst Deceiver, Blue Pinkgill, Champignon, Chanterelle, Chicken of the Woods, Death Cap, Destroying Angel, Enoki, Fly Agaric, Ink Caps, King Bolete, Morel, Oyster, Puffball, Rosy Bonnet, & Turkey Tail.

Each model stays true to its species’ recognizable traits while embracing a colorful, stylized look that pops and remains recognizable in-game.

💬 Want more species added? Drop a comment and let me know!

📌 Important Note:
If you enjoy this pack, please consider rating it! It only takes a moment, and it really helps me out. Thank you! 💖

📜 License:
✅ You can:

• Use these assets in personal, commercial, and non-commercial projects

• Modify or adapt them as needed to match your project!

• You must credit me “3mrys Highland” with a link to my profile (and let me know so I can share your work!)

🚫 You cannot:

• Resell, reupload, or redistribute these assets on their own or as part of another asset pack, even if modified

• Claim the assets as your own creation

• Use the assets in cryptocurrency, NFT, P2E (play-to-earn), or metaverse-related projects

• Use the assets for AI training or machine learning datasets