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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 1.4 Safe for Commercial Use Model Free trial

By:
Bria AI
Text-to-image model trained exclusively on professional-grade licensed dataset, safe for commercial use with full legal liability coverage.
  • This product has been removed and is no longer available to new customers.

Product Overview

BRIA 1.4 is a Text-to-Image generative AI model trained exclusively on licensed data and provided with full copyright and privacy infringement legal coverage, subject to implementation of the Attribution Agent as provided below. 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.

Key Data

By
Bria AI
Categories
Generation-Image
Edit/Processing-Image
Generative AI
Type
Model Package
Fulfillment Methods
Amazon SageMaker

Highlights

  • Trained exclusively on the largest multi-source commercial-grade licensed dataset, BRIA v1.4 guarantees best quality results for those optimizing for latency. 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 v1.4 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 v1.4 in the secure, scalable and supported Amazon SageMaker environment. On ml.g5.xlarge, BRIA v1.4 achieves latency of ~2.9s per image at a throughput of around 21 images/minute. On ml.p4d.24xlarge, BRIA v1.4 achieves latency of ~1.29s per image at a throughput of around 46 images/minute per machine (and around 372 images/minute if the entire instance is being utilized). Validation results on BRIA dataset show CLIP Score of 0.3137 and Fréchet Inception Distance of 19.41.

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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
{
  "width": 512,
  "height": 512,
  "steps": 50,
  "seed": 42,
  "prompt": "A towering redwood tree in a forest, during twilight",
  "negative_prompt": "blue sky, people",
  "eula_license_agreement": "true"
}
Expand all input descriptions
Field name
steps
Description
Number of diffusion steps to run.
Required
No
Data type
Integer
Range
Min: 20
Max: 50
Default value
30
Field name
seed
Description
Random noise seed (omit this option for a random seed)
Required
No
Data type
Integer
Range
Default value
Random
Field name
prompt
Description
The prompt is used when generating the image. The prompt is a description of the desired image.
Required
Yes
Data type
FreeText
Limitations
The prompt is limited to 77 tokens and will be trimmed to fit.
Field name
negative_prompt
Description
The negative prompt is used when generating the image. The negative prompt is a description of what should not be included in the image.
Required
No
Data type
FreeText
Default value
None
Limitations
The negative prompt is limited to 77 tokens and will be trimmed to fit.
Field name
width
Description
The width of the image in pixels. Any value greater than 512px will result in an error. Each value must be a multiple of 64.
Required
No
Data type
Integer
Range
Min: 64
Max: 512
Default value
512
Field name
height
Description
The height of the image in pixels. Any value greater than 512px will result in an error. Each value must be a multiple of 64.
Required
No
Data type
Integer
Range
Min: 64
Max: 512
Default value
512
Field name
eula_license_agreement
Description
Mandatory, "true"/"false". By setting this flag to "true", the user accepts the BRIA End User License Agreement and acknowledges that securing full legal coverage requires deploying BRIA's Attribution Agent per these installation instructions: https://github.com/Bria-AI/agent/tree/main
Required
Yes
Data type
Categorical
Allowed values
true, false
Usage information

As BRIA's models are trained solely on licensed data, offering legal coverage, an Attribution Agent must be installed in your environment to comply with BRIA's payment obligation to its data partners. BRIA receives the information from the Agent and pays the data partners. Generated images never leave your account. The Agent is installed on the customer side and calculates an irreversible vector (based on a temp local image copy), without performance impact. This vector is the only data passed to BRIA, to fulfill the payment obligation. BRIA cannot reproduce any image using the vector.

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..."]
    }
  ]
}

{
  "result": error
	"description": "The generated image is offensive or inappropriate and does not meet NSFW restrictions."
}

{
  "result": error
	"description": "The provided size does not fit the size restrictions"
}
Expand all output descriptions
Field name
result
Description
Indicates success or error.
Always returned
Yes
Data type
Categorical
Allowed values
success, error
Field name
artifacts
Description
Output artifacts as a JSON array.
Always returned
No
Data type
FreeText
Default value
None
Field name
description
Description
The reason for the error response is described here.
Always returned
No
Data type
FreeText
Default value
None

Sample notebook

Additional Resources

End User License Agreement

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Support Information

BRIA 1.4 Safe for Commercial Use Model

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