Install Stable Diffusion Locally (Quick Setup Guide)

Matt Wolfe
20 Feb 202314:02

TLDRThis video tutorial demonstrates how to install and run Stable Diffusion locally on a PC, enabling users to create unrestricted AI art. It also offers a cloud-based alternative for those with older computers or Macs. The guide covers setting up a Hugging Face account, downloading necessary software and models, and running the Stable Diffusion web UI. Additionally, it introduces a paid cloud service, Run Diffusion, which provides access to powerful GPUs for rendering AI-generated images and videos.

Takeaways

  • 🖥️ Installing Stable Diffusion locally on a PC allows for unlimited creation and customization of AI art without restrictions.
  • 🌐 An alternative to local installation is running Stable Diffusion in the cloud, which is suitable for older computers or Mac users.
  • 🔗 To start, create a free account on Hugging Face and GitHub, and download 'get' for Windows.
  • 📁 Create a new folder on the hard drive for the AI setup, and use 'get bash' to clone the Stable Diffusion repository.
  • 🚀 Download the Stable Diffusion model files from Hugging Face, starting with the 1.4 original model.
  • 🐍 Install the latest stable release of Python on the computer to support the AI software.
  • 📂 Place the downloaded Stable Diffusion model files in the 'models' folder within the Stable Diffusion web UI directory.
  • 🎨 Launch the 'web ui-user.bat' script to start the Stable Diffusion interface and access it through the local URL provided.
  • 🎭 Experiment with different settings like batch size, sampling steps, and CFG scales to refine the image generation process.
  • 🌍 For those without a capable PC or GPU, services like rundiffusion.com offer cloud-based solutions at a small cost, providing access to multiple models and faster generation speeds.
  • 🚀 This tutorial opens up possibilities for exploring AI art and video generation beyond the limitations of platforms like Hugging Face Spaces or Google Colab.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is a step-by-step guide on how to install and run Stable Diffusion locally on a PC, as well as an alternative method to run it in the cloud for those with older computers or Macs.

  • Why would someone want to install Stable Diffusion on their own computer?

    -Installing Stable Diffusion on one's own computer provides zero limits to the user's creativity. It allows for the creation of any content without restrictions, the use of custom-trained images, and access to various control net features for more personalized AI art generation.

  • What are the system requirements for installing Stable Diffusion locally?

    -To install Stable Diffusion locally, one needs a PC with a decent graphics card. For those with older computers or Macs, an alternative cloud-based solution is provided.

  • How does one create a Hugging Face account?

    -To create a Hugging Face account, one needs to visit huggingface.co and click on the 'sign up' option to create a free account.

  • What is the purpose of the 'get for Windows' software mentioned in the video?

    -The 'get for Windows' software is used to download and clone repositories from GitHub, which is essential for setting up Stable Diffusion locally.

  • Which Stable Diffusion model does the video recommend for beginners?

    -The video recommends the 1.4 original model for beginners, as it is the one the creator has used for training their face into AI and is familiar with.

  • How long does it typically take to download the Stable Diffusion 1.4 model?

    -Downloading the Stable Diffusion 1.4 model, which is approximately 4 gigabytes in size, can take some time. The exact duration depends on the user's internet connection speed.

  • What is the alternative cloud-based solution for those who cannot install Stable Diffusion locally?

    -The alternative cloud-based solution is called 'run diffusion', which is accessible at rundefusion.com. It allows users to run Stable Diffusion on cloud-based GPUs and computers without the need for local installation.

  • How much does it cost to use the 'run diffusion' service?

    -The 'run diffusion' service is not free, but it is affordable at 50 cents per hour, with the first 15 minutes being free for first-time users.

  • What are some of the features that can be explored once Stable Diffusion is set up?

    -Once Stable Diffusion is set up, users can experiment with features like the control net, scribble control network, image-to-image generation, instruct picks, and deforum, a video generator that uses Stable Diffusion.

  • What is the significance of having both local and cloud-based options for running Stable Diffusion?

    -Having both local and cloud-based options for running Stable Diffusion ensures that users with varying system capabilities and preferences can access and utilize the AI art generation tool. It provides flexibility and convenience, catering to different user needs and situations.

Outlines

00:00

🖥️ Setting Up Stable Diffusion Locally and in the Cloud

This paragraph introduces the video's main focus, which is to guide viewers on how to set up and run Stable Diffusion both locally on a PC and in the cloud. The host explains the benefits of having Stable Diffusion installed locally, such as the ability to create unrestricted AI art, use custom-trained images, and access advanced control features. The paragraph also briefly touches on an alternative for those with older computers or Macs, hinting at a cloud-based solution.

05:01

🔧 Installation Steps for Local Stable Diffusion

The host provides a detailed walkthrough for installing Stable Diffusion locally on a PC. This includes creating an account on Hugging Face and GitHub, downloading and installing necessary software like 'get' for Windows, and setting up a local folder structure. The paragraph also explains how to clone the Stable Diffusion web UI repository from GitHub and download the Stable Diffusion model files from Hugging Face. Additionally, the host instructs viewers on how to install Python and prepare the 'models' folder for the Stable Diffusion checkpoints.

10:02

🌐 Exploring Stable Diffusion's Capabilities and Alternatives

This paragraph delves into the capabilities of Stable Diffusion once installed, highlighting the freedom it offers for creating AI-generated images without restrictions. The host demonstrates how to use the Stable Diffusion web UI to generate images, adjust settings, and experiment with different models. The paragraph also introduces 'run diffusion' as an alternative for those who cannot run Stable Diffusion locally, explaining its cloud-based nature, pricing, and ease of use. The host concludes by expressing excitement for future content that will showcase more advanced features and applications of Stable Diffusion.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model that generates images from textual descriptions. It is capable of creating a wide variety of content, from realistic to abstract, based on the input it receives. In the video, the main theme revolves around installing and running Stable Diffusion locally for unlimited creative possibilities, as well as discussing an alternative cloud-based solution for those with less powerful hardware.

💡Local Installation

Local installation refers to the process of downloading and setting up software on a personal computer, rather than accessing it through a remote server or cloud service. In the context of the video, local installation of Stable Diffusion is emphasized for its ability to provide users with full control and unrestricted access to the AI's capabilities.

💡Cloud Computing

Cloud computing is the delivery of computing services, such as processing power, storage, and software, over the internet rather than from a local server or personal computer. In the video, the presenter offers an alternative to local installation for those with older computers or limited hardware capabilities, by using cloud computing services to run Stable Diffusion.

💡Hugging Face

Hugging Face is an open-source platform that provides a wide range of AI models, including Stable Diffusion. It allows users to access, use, and even train AI models for various tasks, such as text generation or image creation. In the video, the presenter guides viewers on how to create a Hugging Face account to download and use Stable Diffusion models.

💡GitHub

GitHub is a web-based platform that serves as a version control and collaboration system for software development. It allows developers to share and manage code, as well as track changes and contributions. In the video, GitHub is mentioned as a necessary platform for downloading the Stable Diffusion web interface from, which users can interact with the AI model.

💡Graphics Card

A graphics card is a hardware component in a computer that renders images, video, and animations. It is essential for tasks that require intensive graphical processing, such as gaming or running AI models like Stable Diffusion. The video emphasizes the need for a decent graphics card for local installation of Stable Diffusion to ensure smooth and efficient operation.

💡Control Net Features

Control Net Features refer to the various settings and parameters within AI models like Stable Diffusion that allow users to guide and refine the output according to their preferences. These features can include pose control, image-to-image generation, and text-to-image generation, enabling users to create highly customized content.

💡Deforum

Deforum, as mentioned in the video, is a video generator that utilizes the image generation capabilities of Stable Diffusion to create videos. It represents one of the creative possibilities that emerge when the AI model is installed locally, allowing users to extend their creations beyond static images and into dynamic video content.

💡Python

Python is a high-level programming language known for its readability and ease of use. It is commonly used in AI and machine learning applications, including the operation of models like Stable Diffusion. In the video, Python needs to be installed on the user's computer as part of the setup process for running the AI model.

💡Run Diffusion

Run Diffusion is a cloud-based service that allows users to run AI models like Stable Diffusion on powerful GPUs without the need for local hardware. It offers a paid service with different pricing tiers based on the speed and performance of the GPU provided. This service is highlighted in the video as an alternative for users who may not have the necessary hardware for local installation.

💡Automatic 1111

Automatic 1111, as referenced in the video, is the user interface (UI) used to interact with Stable Diffusion. It provides an accessible way for users to input text prompts and generate images using the AI model. The video guides viewers through the process of downloading and setting up this UI for local or cloud-based use.

Highlights

The video provides a quick setup guide for installing Stable Diffusion locally on a PC and running it in the cloud.

Having Stable Diffusion installed locally allows for zero limits on content creation, including NSFW content and use of restricted words.

Local installation enables the use of custom-trained images, such as one's own face, within the AI-generated content.

The local setup offers access to advanced control net features, such as pose modeling and scribble control network.

Instruct picks allow users to upload an image and tweak it with text commands.

Deforum is a video generator that utilizes Stable Diffusion for creating impressive videos.

For those with older computers or Macs, an alternative cloud-based solution is presented to enjoy the benefits of a local install.

The process involves creating a free account on Hugging Face and downloading necessary software like Get for Windows.

GitHub account creation is necessary for accessing and cloning the Stable Diffusion web UI repository.

The 1.4 original Stable Diffusion model is used for most of the images in the video, including the creator's face-trained model.

Multiple models, including 1.5 and 2.1, can be downloaded for experimentation and variety in image generation.

Python installation is required as part of the local setup process.

The video provides detailed instructions on placing the downloaded Stable Diffusion checkpoints in the correct directory.

Running the web UI-user.bat file initiates a series of scripts for setting up the Stable Diffusion environment.

The Stable Diffusion web interface offers numerous settings for users to play around with and generate a wide range of images.

The alternative cloud-based solution, Run Diffusion, offers different GPU options with varying costs and image generation speeds.

Run Diffusion allows users to access pre-set models and generate images in a cloud environment without the need for local installation.

The video creator is excited to share more content and tutorials on leveraging Stable Diffusion's capabilities in future videos.