AUTOMATIC1111 with Stable Diffusion & Nvidia Gpu Support

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About

AUTOMATIC1111 is one of the most popular and comprehensive web interfaces for Stable Diffusion, an open-source AI model for text-to-image generation. Built with flexibility in mind, it offers an extensive range of tools for customizing and controlling the image generation process — from prompt crafting and sampling to inpainting, upscaling, and advanced batch processing.

Whether you’re an artist, developer, or hobbyist, AUTOMATIC1111 provides a robust, user-friendly experience. Its modular plugin system and API support make it easy to extend functionality, while the UI includes real-time previews, history tracking, and support for multiple models and checkpoints.

This interface has become the go-to choice for many in the AI art community due to its speed, depth, and active development.

Key Highlights:

🎨 Intuitive Web Interface – Easily control prompts, models, and generation settings
⚙️ Advanced Features – Supports txt2img, img2img, inpainting, outpainting, ControlNet, LoRA, and more
🚀 Real-Time Generation – View previews and progress as images are being created
🧠 Model Support – Use multiple checkpoints, embeddings, hypernetworks, and custom VAE

Type virtual machines in the search.
Under Services, select Virtual machines.
In the Virtual machines page, select Add. The Create a virtual machine page opens.
In the Basics tab, under Project details, make sure the correct subscription is selected and then choose to Create new resource group. Type myResourceGroup for the name.*.
Under Instance details, type myVM for the Virtual machine name, choose East US for your Region, and choose Ubuntu 18.04 LTS for your Image. Leave the other defaults.
Under Administrator account, select SSH public key, type your user name, then paste in your public key. Remove any leading or trailing white space in your public key.
Under Inbound port rules > Public inbound ports, choose Allow selected ports and then select SSH (22) and HTTP (80) from the drop-down.
Leave the remaining defaults and then select the Review + create button at the bottom of the page.
On the Create a virtual machine page, you can see the details about the VM you are about to create. When you are ready, select Create.

It will take a few minutes for your VM to be deployed. When the deployment is finished, move on to the next section.

Connect to virtual machine

Create an SSH connection with the VM.

Select the Connect button on the overview page for your VM.
In the Connect to virtual machine page, keep the default options to connect by IP address over port 22. In Login using VM local account a connection command is shown. Select the button to copy the command. The following example shows what the SSH connection command looks like:

ssh azureuser@<ip>

Using the same bash shell you used to create your SSH key pair (you can reopen the Cloud Shell by selecting >_ again or going to https://shell.azure.com/bash), paste the SSH connection command into the shell to create an SSH session.

Usage/Deployment Instructions

After successfully connecting via SSH, you’re ready to set upAUTOMATIC1111 with Stable Diffusion & Nvidia Gpu Support. Here’s how to get everything running:

Goto below path:

su – niles

cd /home/niles/stable-diffusion-webui

.webui.sh