Scenario - AI-generated game assets

Craft unique game assets effortlessly with Scenario! 🎮🎨 This AI tool offers full control over custom-trained models, revolutionizing gaming asset development. Create premium-quality assets in seconds! 🚀 #AI #gamedev #ScenarioAI

**Product**: Scenario is a web-based GenAI Engine designed for the gaming industry, enabling users to craft unique game assets using custom-trained AI models.
**Features**: Scenario enables full control over AI for game professionals, offering custom AI generators trained on users' art to produce IP-perfect assets in seconds.
**Pricing**: Scenario accelerates asset ideation, visual iterations, and engagement with early testers, while streamlining workflows and reducing development time.
**Unity Plugin**: Scenario offers an API-first GenAI Engine that integrates seamlessly with diverse workflows, design software, and game engines like Unity.
**API Integration**: Scenario allows users to train and deploy custom AI models, offering features like Composition Control and Pixel-Perfect Inpainting for adjusting outputs.
**Testimonials**: Professionals like Sebastien Borget and Wil Stephens praise Scenario for inspiring creativity, shortening time-to-market, and enhancing player experiences.
**Advantages**: Scenario empowers users to build unlimited custom AI models aligned with their art direction, enabling infinite variants without compromising desired aspects.
**Custom Models**: Users can train AI models focused on various styles like anime, hand-drawn, realism, pixel art, voxel art, watercolor, avatars, and more.
**Industry Impact**: Generative AI by Scenario is revolutionizing gaming by enabling limitless creativity, personalized player experiences, and enhanced asset development.
**User Feedback**: Positive feedback from users highlights Scenario's ease of use, powerful tooling, and friendly user experience for creating amazing assets.
**Future Prospects**: Scenario is positioned as a pioneering tool in the gaming industry, fostering creativity, overcoming limitations in AI, and lowering barriers to GenAI tools.