Text-to-Image

Engineering Tutorial
2 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.