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    Bria 2.3Fast Commercial Text-to-image

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    Sold by: Bria AI 
    Deployed on AWS
    Image generation model trained exclusively on licensed dataset, safe for commercial use with full legal liability coverage

    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 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 2.3Fast for optimized speed. Consider our other model versions: Bria 2.3 and Bria 2.2HD (also available on Amazon Sagemaker Jumpstart) for different preferences of latency and quality optimization.

    Highlights

    • Trained exclusively on the largest multi-source commercial-grade licensed dataset, Bria 2.3Fast is optimized for speed. 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 2.3Fast 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 2.3Fast in the secure, scalable and managed Amazon SageMaker environment. Select the g5 instance types for fast latency and throughput (compared to Bria 2.3 and Bria 2.2HD). Select the p4d instance type to achieve 2X improved latency from the g5 instance.

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

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    Pricing

    Bria 2.3Fast Commercial Text-to-image

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (7)

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    Dimension
    Description
    Cost/host/hour
    ml.g4dn.2xlarge Inference (Batch)
    Recommended
    Model inference on the ml.g4dn.2xlarge instance type, batch mode
    $10.286
    ml.g5.2xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.g5.2xlarge instance type, real-time mode
    $10.286
    ml.g4dn.12xlarge Inference (Batch)
    Model inference on the ml.g4dn.12xlarge instance type, batch mode
    $41.143
    ml.p4de.24xlarge Inference (Real-Time)
    Model inference on the ml.p4de.24xlarge instance type, real-time mode
    $20.571
    ml.p4d.24xlarge Inference (Real-Time)
    Model inference on the ml.p4d.24xlarge instance type, real-time mode
    $20.571
    ml.g5.12xlarge Inference (Real-Time)
    Model inference on the ml.g5.12xlarge instance type, real-time mode
    $41.143
    ml.g5.48xlarge Inference (Real-Time)
    Model inference on the ml.g5.48xlarge instance type, real-time mode
    $82.286

    Vendor refund policy

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

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    Legal

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    Usage information

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    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    This model is optimized for speed, enabling rapid image creation without compromising quality. It allows for generating high-quality, photorealistic and artistic, images with a resolution of up to 1024x1024 pixels, supporting a variety of aspect ratios natively to accommodate diverse creative needs. Ideal for applications requiring quick turnaround without sacrificing image fidelity.

    Additional details

    Inputs

    Summary

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

    Input MIME type
    application/json
    { "steps": 20, "prompt": "An apple", "eula_license_agreement": true, "seed": 42, "aspect_ratio": "16:9", "negative_prompt": "people" }
    https://github.com/Bria-AI/aws-jumpstart-examples/bria-v2.3

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    steps
    Number of diffusion steps to run.
    Default value: 8 Type: Integer Minimum: 4 Maximum: 10
    No
    seed
    Random noise seed (omit this option for a random seed)
    Default value: Random Type: Integer
    No
    prompt
    The prompt is used when generating the image. The prompt is a description of the desired image.
    Type: FreeText Limitations: The prompt is limited to 77 tokens and will be trimmed to fit.
    Yes
    negative_prompt
    The negative prompt is used when generating the image. The negative prompt is a description of what should not be included in the image.
    Default value: none Type: FreeText Limitations: The negative prompt is limited to 77 tokens and will be trimmed to fit.
    No
    aspect_ratio
    Aspect ratio of the resulting image
    Default value: 1:1 Type: FreeText Limitations: The following aspect ratio values are supported: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9
    No

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