An enterprise-grade text-to-image model trained on a compliant dataset produces high quality images.
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Bria 2.3 is a Text-to-Image generative AI model trained exclusively on licensed data and provided with full
copyright and privacy infringement legal liability coverage. The model generates realistic images and art from
text prompts. It supports image generation across domains like portraits, landscapes, products, etc. and for
a variety of use cases like creating social media posts, marketing banners, products catalog enrichment,
game concept art, etc.
This model is ready for commercial use.
Developed by: Bria AI
Model type: Generative text-to-image model
By accessing this model, you are agreeing to Bria’s Privacy Policy and Terms & Conditions.
This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see the BRIA 2.3 Model Card.
Architecture Type: Transformer and Convolutional Neural Network (CNN)
Network Architecture: UNet + Attention Blocks
Input Format: Text
Input Format(s): String
The following are optional inputs: Steps, Classifier-Free Guidance Scale, Output Image Aspect Ratio, Negative Prompt, and Seed per the API Reference Page
Output Format: Image
Output Format: Red, Green, Blue (RGB)
Output Size: 1024x1024, 768x1344, 1344x768, 1344x768, 1344x768, 1344x768, 1216x832
Output Parameters: Seed
Supported Hardware Platform(s):
Supported Operating System(s): Linux
Training & Fine Tuning:
Dataset: 2PT (hundreds of millions images) of high quality data filtered by esthetic score + curation done by our partners.
Engine: Triton
Test Hardware: H100
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