Note: Please use the recommended VM configuration or use a VM with minimum 4VCPU's and 16 GB RAM.

Stable Diffusion is open sourced State of the Art text to image AI model. It generates detailed images based on the given text prompts along with other capabilities such as inpainting, outpainting, and generating image-to-image translations. These capabilities along with its open-source nature makes it the best choice for creating AI Arts as compared to other closed source options available.

This VM is pre-configured for Stable Diffusion with an enabled API (Application Programming Interface) and also includes the widely used AUTOMATIC1111 web interface. Below are some of the key benefits of using this VM

The pre-installed APIs allow the utilization of Stable Diffusion technology from any location and at any time, using a wide variety of programming languages such as Python and Javascript. This platform-agnostic approach enables the seamless integration of Stable Diffusion into various systems.

The AUTOMATIC1111 web interface offers an intuitive user interface that can be accessed from anywhere at any time. And its extensible architecture allows for the addition of new features and capabilities through a vast ecosystem of plugins and extensions

Full control of Stable Diffusion capabilities & how it is utilized for your specific requirements

Have single VM & its APIs & Web UI accessible to multiple users & teams making it more cost effective

Full ownership of the images & data generated

Ability to use any model of choice

Ability to customize Stable Diffusion as per your need

In addition, the Stable Diffusion Web interface provides following benefits on top of the Stable Diffusion capabilities

An intuitive web interface accessible from anywhere to exploit all Stable Diffusion capabilities using a browser

Original txt2img and img2img modes

Extension ecosystem which allows plug & play of extensions to add new functionalities

Dreambooth integration with AUTOMATIC1111 to allow fine tuning Text-to-Image Diffusion Models for Subject-Driven Generation

ControlNet to provide a way to augment Stable Diffusion with conditional inputs such as scribbles, edge maps, segmentation maps, pose key points, etc during text-to-image generation. As a result, the generated image will be a lot closer to the input image.

Outpainting - to extends the original image and inpaints the created empty space

Inpainting

Color Sketch

Prompt Matrix

Loopback, run img2img processing multiple time

One click install and run script

and lot more .
For more details on how to setup the VM, please refer to Azure Getting Started guide.

Full feature details available here

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Credits:
https://github.com/CompVis/stable-diffusion.git
https://github.com/AbdBarho/stable-diffusion-webui-docker
https://github.com/AUTOMATIC1111/stable-diffusion-webui
https://github.com/Sygil-Dev/sygil-webui
https://github.com/invoke-ai/InvokeAI

Note: This is Stable Diffusion with AUTOMATIC1111 Web Interface. If you are looking for Stable Diffusion with InvokeAI Web Interface then please visit - Stable Diffusion with InvokeAI Web Interface