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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Bria 2.3 Commercial Text-to-image

Latest Version:
2.3
Image generation model trained exclusively on licensed dataset, safe for commercial use with full legal liability coverage

    Product Overview

    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. Choose Bria 2.3 for best balance between quality and speed. Consider our other model versions: Bria 2.3HD and Bria 2.3 Fast (also available on Amazon Sagemaker Jumpstart) for different preferences of latency and quality optimization.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Trained exclusively on the largest multi-source commercial-grade licensed dataset, Bria 2.3 is our most advanced model that offers enhanced generation capabilities for photorealistic as well as arts and illustrations. Bria's models were trained from scratch exclusively on licensed data from our esteemed data partners, including Getty Images, Alamy of the PA Media Group and Envato, boutique niche agencies, independent photographers and artists.

    • Bria 2.3 is safe for commercial use and provides full legal liability coverage for copyright and privacy infrigement and harmful content mitigation. In addition, having been trained on commercial-grade data, Bria models set new standards of safety, diversity, equity and inclusion. Our dataset does not represent copyrighted materials, such as fictional characters, logos or trademarks, public figures, harmful content or privacy infringing content. Generation of these concepts using our models is impractical.

    • Unlock the business value of visual generative AI with Bria 2.3 in the secure, scalable and managed Amazon SageMaker environment. Select the g5 instance types for moderate latency and throughput. Select the p4d instance type to achieve 2X improved latency from the g5 instance.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$10.286/hr

    running on ml.g5.2xlarge

    Model Batch Transform$10.286/hr

    running on ml.g4dn.2xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$1.515/host/hr

    running on ml.g5.2xlarge

    SageMaker Batch Transform$0.94/host/hr

    running on ml.g4dn.2xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.p4de.24xlarge
    $20.571
    ml.p4d.24xlarge
    $20.571
    ml.g5.12xlarge
    $41.143
    ml.g5.2xlarge
    Vendor Recommended
    $10.286
    ml.g5.48xlarge
    $82.286

    Usage Information

    Model input and output details

    Input

    Summary

    This model accepts JSON input aligned with the Bria REST API .

    Input MIME type
    application/json
    Sample input data
    {
      "steps": 20,
      "prompt": "An apple",
      "eula_license_agreement": true,
      "seed": 42,
      "aspect_ratio": "16:9",
      "negative_prompt": "people"
    }

    Output

    Summary

    Model output is available as base64 inside JSON.

    Output MIME type
    application/json
    Sample output data
    {
      "result": success
    	"artifacts": [
        {
          "seed": 1525972691,
          "image_base64": "...very long string...",
          "embeddings_base64": ["...very long strings..."]
        }
      ]
    }

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Bria 2.3 Commercial Text-to-image

    Join our Slack channel to get support

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Refund Policy

    no refunds, please use the free trial option to validate your needs

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