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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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Stable Diffusion XL Beta 0.8

Latest Version:
1.0
The early beta for Stability AI’s foundation model for image generation, targeting medium resolution (512px) for fast image generation.

    Product Overview

    Stable Diffusion XL Beta 0.8 is the first public release of the evolution of the Stable Diffusion series of models. Calibrated for 512px native image generation at square aspect ratios, SDXL Beta 0.8 is capable of enhanced image composition targeting a variety of realistic and artistic stiles.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • A new era in image generation: The largest image generation model to date and the first based on a new SDXL architecture, using 3.1B parameters to enable next-level photorealism and legible text even from simple prompts

    • A preview of the new foundation model for images: SDXL Beta 0.8 is an intermediate step from the older, faster Stable Diffusion series, and the more powerful SDXL series. This version is useful for those who do not need the highest quality and flexibility, but still want to upgrade from SD 1.X or 2.X

    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.


    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$0.00/inference

    running on any instance

    Model Batch Transform$0.00/hr

    running on ml.g4dn.12xlarge

    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$1.408/host/hr

    running on ml.g5.xlarge

    SageMaker Batch Transform$4.89/host/hr

    running on ml.g4dn.12xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on the number of inferences generated by the ML Model per month. Typically, the number of inferences is the same as the number of successful calls to the real-time endpoint. For models that support multiple inputs in a request, sellers have the option to meter the number of inputs processed in a request to count generated inferences.
    Additional infrastructure cost, taxes or fees may apply.

    Usage Information

    Model input and output details

    Input

    Summary

    This model accepts JSON input aligned with the Stability REST API as well as protocol buffers aligned with the Stability GRPC API . You can also use the Stability SDK to deploy and interact with the model.

    Limitations for input type
    Input images must be base64 encoded in JSON or supplied via protobuf.
    Input MIME type
    application/json
    Sample input data
    {
      "cfg_scale": 7,
      "height": 512,
      "width": 512,
      "steps": 50,
      "seed": 42,
      "text_prompts": [
        {
          "text": "A photograph of fresh pizza with basil and tomatoes, from a traditional oven",
          "weight": 1
        }
      ]
    }

    Output

    Summary

    Model output is available as base64 inside JSON, binary serialized protocol buffers, or binary PNG

    Output MIME type
    image/png, application/json
    Sample output data
    {
      "result": "success",
      "artifacts": [
        {
          "base64": "...very long string...",
          "finishReason": "SUCCESS",
          "seed": 1050625087
        },
        {
          "base64": "...very long string...",
          "finishReason": "CONTENT_FILTERED",
          "seed": 1229191277
        }
      ]
    }

    End User License Agreement

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    Support Information

    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

    This product is offered for free. If there are any questions, please contact us for further clarifications.

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