aws-solutions-library-samples/guidance-for-asynchronous-inference-with-stable-diffusion-on-aws
Stable Diffusion is a popular Open Source project for generating images using Gen AI. Building a scalable and cost efficient inference solution is a common challenge. This project shows how to use AWS serverless and container services to build an end-to-end scalable, secure and price effecient asynchronous image generation architecture.
This solution helps engineers and architects quickly deploy a robust system for generating images using Stable Diffusion on AWS. You provide text prompts, and the system efficiently generates and stores the corresponding images. It's designed for users who need a scalable and cost-effective way to handle large volumes of image generation requests.
Use this if you need to build an asynchronous, high-volume image generation service using Stable Diffusion and want a pre-configured, scalable, and cost-optimized AWS architecture.
Not ideal if you are looking for an out-of-the-box application for end-users or a solution for local, small-scale image generation without cloud infrastructure.
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Python
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Mar 10, 2026
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