We’re excited to introduce Bria 3.0, our latest text-to-image foundation model designed to help developers create products and workflows that meet today’s demanding standards for visual content creation and editing. With major improvements in prompt alignment, image quality, and safety, the Bria 3.0 foundation model further empowers developers to responsibly and effectively build visual generative AI solutions that address the complex content needs of businesses and customers alike.
Bria AI 3.0 is a text-to-image model explicitly designed to address companies’ holistic needs—from scalability and flexibility to quality and compliance—enabling developers to safely and effectively build visual Gen AI solutions. Our dataset, trained on 100% fully-licensed, commercial-grade imagery, does not contain copyrighted materials, such as fictional characters, logos, trademarks, public figures, harmful content, or privacy-infringing content. The model offers full access to source code and weights and is licensed with full legal liability coverage.
Bria 3.0 is crafted to support leaders who want to develop generative AI solutions responsibly and efficiently—solutions that maximize business impact while minimizing development and output risks for teams and customers.
With 128-Token Prompts, Bria 3.0 allows for more fine-grained control and precision over text-to-image outputs. The model’s enhanced prompt alignment gives developer teams further confidence that every asset generated by their products or solutions will meet the quality, vision, and detail expected by end-users and their inputs.
Bria 3.0 delivers high-quality visuals with optimized textures, balanced colors, and refined aesthetic details. Capable of resolutions up to 1 megapixel, the commercial-grade quality of Bria 3.0 foundation model ensures that whatever your teams build with our models and APIs, the products and workflows can deliver compelling visuals that meet your use case and brand needs. Building on Bria 2.3’s superior photorealistism compared to competitors. Bria 3.0 excels at illustrations due to new content inserted during training.
Trained exclusively on licensed data and incorporating the T5-XXL text encoder in place of CLIP, Bria 3.0 minimizes bias and supports the inclusivity of all generated outputs. This commitment to Responsible AI ensures that businesses can create Gen AI products and workflows that align with brand values while minimizing development risks related to copyright, brand safety, and privacy. Bria 3.0’s rigorous data sourcing and bias-mitigating architecture also minimizes manual QA by ensuring outputs align with ethical standards and reducing the likelihood of content requiring post-production adjustments.
Underneath Bria 3.0’s features lies a robust technical architecture, purpose-built to optimize enterprise performance, reduce costs, and enhance scalability.