Ponzu
Speed Up 3D Asset Design with Ponzu's AI-Generated Textures
Pixela AI lets you explore, generate, and share high-quality game textures created with Stable Diffusion. Upload your own textures and browse community-made assets.
Pixela AI is a simple, community-driven platform where users can discover and share AI-generated game textures. Built on Stable Diffusion, the tool creates detailed, seamless texture images ideal for game development, 3D modeling, and digital design.
Whether you're an indie developer, 3D artist, or hobbyist designer, Pixela AI helps you quickly access and create unique texture assets. From realistic surfaces to stylized designs, the platform makes it easy to find or contribute AI-generated textures.
Pixela AI features a growing collection of textures generated using Stable Diffusion. These range from stone, wood, and metal to abstract or stylized materials—each available to explore and reference for game or design projects.
Users can upload their own AI-generated textures to the platform to share with the wider community. This open approach builds a collaborative space for developers and artists to contribute and find inspiration.
Pixela AI textures can be used in game engines like Unity or Unreal to build more immersive environments. Their seamless patterns and variety of styles make them suitable for terrain, objects, and backgrounds.
Digital artists can integrate these textures into 3D models for realism or stylization. Whether you're working on characters, props, or environments, Pixela AI offers a time-saving alternative to manual texturing.
The platform is also a great place for experimentation. Designers can study the capabilities of Stable Diffusion in visual generation, remix textures for new results, or combine them into larger art projects.
There’s no need to sign up to explore Pixela AI’s textures. The interface is clean and focused solely on the textures—no distractions, no cost, and no barriers to entry.
Pixela AI uses Stable Diffusion, a leading open-source model for image generation. This allows for high-quality outputs with unique detail, making the platform both experimental and practical.