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Serverless architectures are revolutionizing software development by removing the need for server management. Cloud services like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to concentrate on writing code, as these platforms handle scaling automatically. - Source: dev.to / about 15 hours ago
In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway which makes it easy for developers to create, publish, maintain, monitor and secure APIs and AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax optimised for defining... - Source: dev.to / 14 days ago
AWS CloudFront is the star of the show here. It caches static content (like media, scripts, and images) to ensure fast, reliable delivery. Other AWS services that run at the edge include Route 53 for DNS routing, Shield and WAF for security, and even Lambda via Lambda@Edge — giving you the ability to run serverless logic closer to the user. - Source: dev.to / 19 days ago
AWS Lambda charges per millisecond with Configurable memory allocations, offering 1 million free requests monthly. - Source: dev.to / about 1 month ago
When the built-in Amazon API Gateway authorization methods don’t fully meet our needs, we can set up Lambda authorizers to manage the access control process. Even when using Cognito user pools and Cognito access tokens, there may still be a need for custom authorization logic. - Source: dev.to / about 1 month ago
The process of structuring text that can be interpreted and understood by a generative AI model is called Prompt Engineering. This can apply to text-only models such as Llama2 and image generation models such as Stable Diffusion. Often, the key to generating an appropriate piece of text or an accurate image comes down to how the prompt is engineered. - Source: dev.to / over 1 year ago
The images created by AI Image Generators like Midjourney or Stable Diffusion are quite impressive. In the last few days, I have been testing with Stable Diffusion's AI Image Generator (text-to-image) to create a futurebucket logo. For me as a beginner, I am quite satisfied with the results. Please let me know which one you prefer. Source: over 1 year ago
Hey guys, I used to use this stable diffusion UI a lot (https://stablediffusionweb.com/). It used to be much simpler though, a single line for a prompt and would generate 4 images in usually 10 second. Source: over 1 year ago
I got acquainted with stablediffusionweb.com and the Playground option it had back in May 2023 and made some good use of it from there to mid-July or so. Got busy, hadn't used it until late August, now I come back and see the Playground is a different thing entirely now that it's "Stable Diffusion XL 1.5" or something. Not only does it now only output 1 image as opposed to 4 images, it takes 8 times longer and the... Source: over 1 year ago
The web site I did try, including https://stablediffusionweb.com/ or Artroom do not have all the option and flexibility I see in automatic 1111, explacially for fine tuning and manually guide further elaboration. Source: almost 2 years ago
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Midjourney - Midjourney lets you create images (paintings, digital art, logos and much more) simply by writing a prompt.
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
DALL-E - Creating images from text, from Open AI
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Artedge AI - Your Ultimate Free AI Art Generator for Stunning Image Creation