Your brand has a defined illustration style, but you’ve acquired existing artwork or stock graphics that don’t match it. I apply neural style transfer using AI tools like Stable Diffusion with custom LoRAs, Midjourney, and specialized style transfer AI to reprocess these images, aligning them with your established visual identity.

We begin by defining your style guide using one to three of your own reference illustrations that represent the target look. This could be a specific line weight, a color reduction technique, a textured shading style or a geometric simplification. I then train custom AI models on your specific aesthetic rather than using a generic filter. The AI helps generate initial style-transferred versions, which I then review and manually adjust to ensure brand colors are exact, key details are preserved and the result feels cohesive.

For a set of five illustrations, you receive the final assets as scalable SVG vectors for web use, high-res PNGs and, where applicable, editable Adobe Illustrator AI files. This approach helps marketing teams, app developers and content creators maintain a uniform look across all their visual materials without commissioning entirely new artwork. It works because the technology can deconstruct and reconstruct stylistic elements like stroke and texture while maintaining the underlying composition. I’ve used this to unify illustration sets for SaaS companies, educational platforms and publishers, often turning a disparate library of images into a coherent branded asset collection that strengthens recognition.