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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 1.0

Latest Version:
20230726
The official foundation model for image generation from Stability. Deploy this optimized instance and serve generative AI within minutes.

    Product Overview

    SDXL is the largest open source image model from Stability AI, designed for creative professionals who want to make the highest quality images without sacrificing on performance. SDXL produces high resolution images with unprecedented control of color and contrast. Calibrated for photorealism and other styles ready for marketing, design, and other commercial use cases, SDXL is perfect for creating and editing works of art.

    Key Data

    Version
    Show other versions
    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • The foundation model for images: All text to image, image to image, inpainting, and outpainting workflows are handled by the official SDXL model. SDXL introduces a new SOTA architecture for image generation, comprising a 3.5B parameter base model stage and a 6.6B parameter ensemble pipeline.

    • Unprecedented quality and ease of use: Native 1024x1024 image generation with cinematic photorealism and fine detail. The most advanced text generation within images. Fine-tuned to create complex compositions with basic natural language prompting, thanks to the largest CLIP model in production.

    • Professional: Compared to previous versions, SDXL 1.0 generates more vibrant and accurate colors, with better contrast, lighting, and shadows. All aspect ratios at high resolution are native.

    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$1.515/host/hr

    running on ml.g5.2xlarge

    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 .

    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": 1024,
      "width": 1024,
      "steps": 50,
      "seed": 42,
      "sampler": "K_DPMPP_2M",
      "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
    application/json, image/png
    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

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

    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.

    Learn More

    Refund Policy

    n/a

    Customer Reviews

    Consulting
    Stable diffusion review
    Jun 12, 2024
    What do you like best about the product?We can create photos for our projects, goods, or services
    without being concerned about any legal fallout.What do you dislike about the product?Pricing can
    have segmentation for user groupsWhat problems is the product solving and how is that ... Read more
    ... Read more
    Anant K.
    The Best advanced image model out there
    May 20, 2024
    What do you like best about the product?I recently used Stable Diffusion 3. I found the text to image
    capabilities to be absolutely top class. The level of spelling abilities and image quality is just
    remarkableWhat do you dislike about the product?When it comes to Stable Music, I think t... Read more
    ... Read more
    Sumit P.
    Better way to transform personal ideas into reality
    Apr 27, 2024
    What do you like best about the product?I'm studying it to use at my wife's company (swags, t-shirts,
    DTF, sublimations, all sorts of personalized products) to create some unique images. After two weeks
    of putting so many hours into it, I finally managed to consistently get the results I was look... Read more
    ... Read more
    View all