easydiffusion/README.md

Stable Diffusion UI

The easiest way to install and use Stable Diffusion on your own computer. Does not require technical knowledge, does not require pre-installed software. 1-click install, powerful features, friendly community.

(for support, and development discussion) | Troubleshooting guide for common problems

New:

Experimental support for Stable Diffusion 2.0 is available in beta!

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Step 1: Download and prepare the installer

Click the download button for your operating system:

On Windows:

1. Unzip/extract the folder stable-diffusion-ui which should be in your downloads folder, unless you changed your default downloads destination.
2. Move the stable-diffusion-ui folder to your C: drive (or any other drive like D:, at the top root level). C:\stable-diffusion-ui or D:\stable-diffusion-ui as examples. This will avoid a common problem with Windows (file path length limits).

On Linux:

1. Unzip/extract the folder stable-diffusion-ui which should be in your downloads folder, unless you changed your default downloads destination.
2. Open a terminal window, and navigate to the stable-diffusion-ui directory.

Step 2: Run the program

On Windows:

Double-click Start Stable Diffusion UI.cmd. If Windows SmartScreen prevents you from running the program click More info and then Run anyway.

On Linux:

Run ./start.sh (or bash start.sh) in a terminal.

The installer will take care of whatever is needed. A friendly Discord community will help you if you face any problems. To Uninstall: Just delete the stable-diffusion-ui folder to uninstall all the downloaded packages.

Step 3: There is no Step 3. It's that simple!

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Easy for new users, powerful features for advanced users

Features:

User experience

• Hassle-free installation - No Dependencies or Technical Knowledge Required. 1-click install for Windows 10/11 and Linux. No dependencies, no need for WSL or Docker or Conda or technical setup. Just download and run!
• Clutter-free UI: a friendly and simple UI, while providing a lot of powerful features

Image generation

• Supports "Text to Image" and "Image to Image"
• In-Painting: Specify areas of your image to paint into
• Face Correction (GFPGAN) and Upscaling (RealESRGAN)
• Loopback: Use the output image as the input image for the next img2img task
• Negative Prompt: Specify aspects of the image to remove.
• Attention/Emphasis: () in the prompt increases the model's attention to enclosed words, and [] decreases it
• Weighted Prompts: Use weights for specific words in your prompt to change their importance, e.g. red:2.4 dragon:1.2
• Prompt Matrix: (in beta) Quickly create multiple variations of your prompt, e.g. a photograph of an astronaut riding a horse | illustration | cinematic lighting
• Lots of Samplers: ddim, plms, heun, euler, euler_a, dpm2, dpm2_a, lms
• NSFW Setting: A setting in the UI to control NSFW content
• JPEG/PNG output

Advanced features

• Custom Models: Use your own .ckpt file, by placing it inside the models/stable-diffusion folder!
• Stable Diffusion 2.0 support (experimental) - available in beta channel
• Use custom VAE models
• Use pre-trained Hypernetworks

Performance and security

• Low Memory Usage: Creates 512x512 images with less than 4GB of GPU RAM!
• Multi-GPU support - automatically spreads your tasks across multiple GPUs (if available), for faster performance!
• Auto scan for malicious models - uses picklescan to prevent malicious models
• Use CPU setting: If you don't have a compatible graphics card, but still want to run it on your CPU.
• Auto-updater: Gets you the latest improvements and bug-fixes to a rapidly evolving project.
• Developer Console: A developer-mode for those who want to modify their Stable Diffusion code, and edit the conda environment.

Usability:

• Live Preview: See the image as the AI is drawing it
• Task Queue: Queue up all your ideas, without waiting for the current task to finish.
• Image Modifiers: A library of modifier tags like "Realistic", "Pencil Sketch", "ArtStation" etc. Experiment with various styles quickly.
• Multiple Prompts File: Queue multiple prompts by entering one prompt per line, or by running a text file
• Save generated images to disk

Easy for new users:

Powerful features for advanced users:

Live Preview

Useful for judging (and stopping) an image quickly, without waiting for it to finish rendering.

Task Queue

System Requirements

1. Windows 10/11, or Linux. Experimental support for Mac is coming soon.
2. An NVIDIA graphics card, preferably with 4GB or more of VRAM. If you don't have a compatible graphics card, it'll automatically run in the slower "CPU Mode".
3. Minimum 8 GB of RAM and 25GB of disk space.

You don't need to install or struggle with Python, Anaconda, Docker etc. The installer will take care of whatever is needed.

This will automatically install Stable Diffusion, set it up, and start the interface. No additional steps are needed.

How to use?

Please use our guide to understand how to use the features in this UI.

Bugs reports and code contributions welcome

If there are any problems or suggestions, please feel free to ask on the discord server or file an issue.

We could really use help on these aspects (click to view tasks that need your help):

• User Interface
• Engine
• Installer
• Documentation

If you have any code contributions in mind, please feel free to say Hi to us on the discord server. We use the Discord server for development-related discussions, and for helping users.

Disclaimer

The authors of this project are not responsible for any content generated using this interface.

The license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation, or target vulnerable groups. For the full list of restrictions please read the license. You agree to these terms by using this software.