Sloyd
Sloyd offers three unique ways of creating 3D models. Image-to-3D and Text-to-3D generates new, unique models in under 2 minutes, and is best for characters
- 3.8
- 299
Free, Freemium
Tool Information
Company
Sloyd
Founded
2021
Pricing
Free, Freemium
About Sloyd
Sloyd is an AI 3D creation tool using parametric generators to make models in seconds. It’s ideal for game developers and real-time creators.
✅ Pros
- ✔️ Extremely fast generation of 3D models.
- ✔️ Creates game-ready assets with clean topology.
- ✔️ Models are highly customizable using sliders and parameters.
- ✔️ Integrates directly with Unity and Unreal Engine via SDKs.
- ✔️ Large and growing library of object generators.
❌ Cons
- ✖️ Creativity is limited by the available generators and their parameters.
- ✖️ Less suitable for creating unique, high-detail “hero” assets.
- ✖️ Requires a subscription for commercial use and full library access.
- ✖️ Performance can depend on the user’s internet connection.
Key Features
Ready-to-Use Prompts
Copy and customize these prompts for your specific needs
Prompt 1 Content
Prompt Content
Prompt Content
Prompt Content
Customer Reviews
Based on 0 reviews
Pricing Plans
Free Plan
- ✅ Image downloads✅ Generator library
✅ Spawn & edit with AI
✅ Themed materials
License
✅ Personal use
❌ Redistribution & reselling
Paid Plans
Plus (POPULAR)
$7.49/month Unlimited downloads for the first month
✅ Unlimited 3D downloads
✅ Generator library
✅ Spawn & edit with AI
✅ Themed materials
✅ Image-to-3D
License
✅ Commercial use
❌ Redistribution & reselling
❌ Selling on marketplaces
Enterprise
Contact Us Custom solutions
Usage
✅ API metered billing
✅ Unlimited downloads & Projects
✅ Private generators
✅ SDK
✅ Game engine plug-in
✅ Priority support
Use Cases
Rapidly populating game worlds with props and environment assets.
Prototyping game mechanics and level layouts.
Creating placeholder or final assets for indie game developers.
Architectural visualization and interior design mockups.
Concept art and design exploration.
Educational purposes to understand procedural generation.