Model Overview
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Description:
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
Terms of Use
By accessing this model, you are agreeing to Bria’s Privacy Policy and Terms & Conditions.
Third-Party Community Consideration:
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.
References(s):
Model Architecture:
Architecture Type: Transformer and Convolutional Neural Network (CNN)
Network Architecture: UNet + Attention Blocks
Input:
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:
Output Format: Image
Output Format: Red, Green, Blue (RGB)
Output Size: 1024x1024, 768x1344, 1344x768, 1344x768, 1344x768, 1344x768, 1216x832
Output Parameters: Seed
Software Integration:
Supported Hardware Platform(s):
- NVIDIA Ampere
- NVIDIA Hopper
- NVIDIA Turing
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.
Model Version(s):
- BRIA-2.3
Inference:
Engine: Triton
Test Hardware: H100
Ethical Considerations
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. Please report security vulnerabilities or NVIDIA AI Concerns here.