Tess Design

On Tess, artists can submit their own work to train style-specific AI models, and when users choose to generate images using those artist-trained models, the revenue is split 50/50 between Tess and the contributing artistcreating a monetization pathway for creators rather than using their work without permission or compensation.

The platform's artist-owned style models are the core of its differentiation.

Each model is trained on a specific artist's portfolio and produces images that maintain a consistent, recognizable aesthetic aligned with that artist's visual identitymaking Tess useful for projects that need a specific illustrative style applied consistently across multiple assets rather than the random stylistic variation common in other generators.

Users browsing Tess discover and choose from a library of artist-specific models, each with its own distinct creative signature.

Image generation quality is designed to meet professional standards: generated illustrations feature clean lines, coherent compositions, and accurate color reproduction suitable for commercial use in branding, editorial illustration, marketing materials, and digital content.

A built-in web-based image editor allows users to refine and customize generated images after creation, adjusting composition, colors, and details without requiring an external editing application.

The ethical licensing framework addresses one of the most significant criticisms of AI image generation at scale: that training on artists' work without consent or compensation amounts to creative appropriation that undermines the market for original illustration.