ZeroCost SDXL

ZeroCost backend support for diffusers

Overview

Introducing SDXL, a cutting-edge product intricately tied to the world of Wenshengtu. Our team's relentless efforts have brought forth a remarkable innovation, setting a new benchmark in speed among the spectrum of existing SD products. SDXL is not just a product; it's a groundbreaking advancement designed to transform user experiences and redefine the realm of Wenshengtu applications.

Highlights

Unrivaled Speed Optimization: Our team's profound optimization techniques have elevated Wenshengtu's speed to unparalleled levels, making SDXL the fastest among all existing SD products. Users can now experience seamless, lightning-fast performance.
Enhanced Efficiency: Through advanced algorithmic refinements, SDXL operates with heightened efficiency, ensuring smoother processing, quicker response times, and an overall enhanced user experience.
Optimal Compatibility: Seamlessly integrated with Wenshengtu, SDXL offers flawless compatibility, ensuring a harmonious fit within the existing ecosystem. It's designed to function seamlessly, augmenting and enriching the Wenshengtu experience.

Details

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Features and programs

Financing for AWS Marketplace purchases

AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.

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Pricing

ZeroCost SDXL

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This product is available free of charge. Free 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.

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

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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:

Real-time inference

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 .

Batch transform

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

onediff

Additional details

Inputs

Summary: curl -X POST -H "Content-Type: application/json" -d '{ "prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0" }' http://127.0.0.1:8080/invocations

Real-time inference sample input data

http://127.0.0.1:8080/invocations

Batch transform sample input data

http://127.0.0.1:8080/invocations

Input data descriptions

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

Field name	Description	Constraints	Required
"prompt": "a dog"	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes
"width": 512	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes
"height": 512	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes
"num_outputs": 3	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes
"num_inference_steps": 50	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes
"guidance_scale": 7.5	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes
"seed": "0"	"prompt": "a dog", "width": 512, "height": 512, "num_outputs": 3, "num_inference_steps": 50, "guidance_scale": 7.5, "seed": "0"	Type: FreeText	Yes

Resources

Vendor resources

https://zerocost.ai

Support

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