Tess
What is 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 plans. Artists can contribute their styles to Tess and earn royalties when users generate images using their styles. Tess aims to empower artists by providing a platform that integrates AI ethically and helps artists maintain ownership of their artistic styles.
Tess's Top Features
Key capabilities that make Tess stand out.
Revenue-sharing program for artists
Various subscription plans for individuals and teams
Custom enterprise solutions
Option to keep models private or make them public
Ethical AI integration
Artist ownership and control over styles
Consistent visual style generation
Properly-licensed image generation
World-class image editor
Collaboration with real artists
Tess's pricing
Key Details
- Category
- Image Generation
- Pricing Model
- Paid
- Website
- Visit Tess
- Last Updated
- August 8, 2024
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Category
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Frequently asked questions about Tess
Use Cases
Who benefits most from this tool.
Artists
Monetize their artistic style by creating models that generate images for users.
Individuals
Generate illustrations for personal or commercial projects through various subscription plans.
Creative Teams
Develop a consistent look and feel across their content using custom enterprise solutions.
New Users
Try out Tess with the Starter plan to explore AI-generated images.
Pro Users
Upgrade to Pro plan for more image generations suitable for larger projects.
Large Organizations
Opt for custom enterprise plans for high-volume image generation and private models.
AI Enthusiasts
Explore the capabilities of AI in generating art without losing the artist's touch.
Content Creators
Use Tess to quickly generate and edit visuals for blogs, websites, and articles.
Tech Savvy Artists
Stay at the forefront of technology by integrating AI into their creative processes.
Art Patrons
Support artists by using properly-licensed images and supporting the revenue-sharing model.