Overview
Looking to increase the quality, relevance, and flexibility of your digital asset library? Is speed critical to your strategy? Leveraging AWS-native foundation models like Stability.ai’s StableDiffusion, businesses can create, modify, and enhance images with unprecedented ease. AWS services like Amazon SageMaker and Amazon Bedrock for model training and deployment, coupled with S3 for storage, enable scalable asset management for tasks like product photography generation and editing.
With established techniques like inpainting, you can rapidly iterate through AI-generated extensions of an image that blend seamlessly with the original or support traditional photography workflows during pre-production with AI-generated mockups. And because these images can be created with textual prompts, you can easily template styles and approaches or rapidly pivot your visual language to accommodate different needs.
**Our Process: **
We’ll conduct a 1-hour consultation run by a generative AI specialist to discuss how to leverage concept-specific image generation solutions on AWS. As part of this, we work backward with you to understand your use-case and what you’re hoping to achieve and then outline an AWS infrastructure with Generative AI best practices, using established tools.
Highlights
- Time to Market - rapidly produce and iterate on images to find a fit and save on image procurement
- Creative Freedom - quickly experiment with image variants while maintaining image consistency and alter backgrounds, lighting, or posing as needed
- Consistent Styling - deliver a visual style which can easily be templated, reproduced, and modified
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