Text-to-Image
Engineering Tutorial2 credits / execution
Create stunning images from text descriptions
Technical Overview
Generate high-fidelity raster assets from complex natural language descriptors.
Utilizing state-of-the-art latent diffusion models, our text-to-image engine translates prompt metadata into pixel-perfect assets optimized for UI/UX prototyping.
"High-fidelity rendering for rapid prototyping and visual ideation."
Execution Protocol
01
Parameterization
Input your text prompt along with aspect ratio and style keywords.
02
Neural Synthesis
The engine runs a multi-step diffusion process to resolve the latent noise.
03
Asset Injection
Generate and inject the high-resolution image directly into your Figma file.