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Stable Diffusion with API and AUTOMATIC1111

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About GCP Deployment Guide AWS Deployment Guide Azure Deployment Guide Techlatest Stable Diffusion EULA

Overview of Techlatest Stable Diffusion with AUTOMATIC1111 Web Interface

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

    Full feature details available here

Disclaimer: Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and/or names or their products and are the property of their respective owners. We disclaim proprietary interest in the marks and names of others.

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