Tess
Tess is the world's first AI image generator that compensates artists through a revenue-sharing program. It offers subscription plans for individuals and teams, with options for custom enterprise plan
What is Tess?
Tess is an AI image generator that creates images based on text prompts, with a distinctive focus on artist compensation. Unlike most AI image tools, Tess operates a revenue-sharing model where artists can contribute their artistic styles to the platform and earn royalties when users generate images using those styles. This approach attempts to address concerns about AI systems training on artwork without permission or payment. The tool offers both individual and team subscription plans, with custom enterprise options available. It's designed for people who want to generate images whilst supporting artists financially, and for artists who want to participate in AI image generation on terms that provide ongoing income.
Key Features
Text-to-image generation
create images from written descriptions
Artist style library
browse and use styles contributed by artists
Revenue sharing
artists earn royalties when their styles are used
Team collaboration
manage image generation across multiple users
Subscription plans
freemium model with paid tiers for individuals and teams
Enterprise options
custom plans for larger organisations
Pros & Cons
Advantages
- Addresses artist compensation, offering a more ethical approach than many competitors
- Provides income opportunities for artists through style contributions and royalties
- Flexible pricing with both free and paid options
- Team and enterprise plans available for collaboration
Limitations
- Artist community adoption and style diversity may still be limited compared to larger competitors
- Revenue-sharing payouts to artists depend on user adoption and demand for their styles
Use Cases
Creating illustrations for blog posts or marketing materials whilst supporting artists
Exploring different artistic styles for design inspiration
Artists monetising their creative style through the platform
Teams generating branded imagery with consistent style
Experimenting with AI image generation with ethical considerations in mind