Stable Diffusion WebUI 1.10.1
Author:
AUTOMATIC1111
Date: 03/31/2025 Size: 2 MB License: Open Souce Requires: 11|10|Linux|macOS Downloads: 209 times ![]() Restore Missing Windows Files |
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Stable Diffusion WebUI (by AUTOMATIC1111): Powerfull AI Image Generation on Your Desktop
This one's for the creators, tinkerers, and curious artists out there. The Stable Diffusion WebUI is a local, Open Source interface for running Stable Diffusion models on your PC. It gives you full control of AI image generation right from your machine with no cloud logins, no daily limits, no strings attached, and no subscription.
Unlike online AI art tools that limit how many prompts you can run, what guardrails you have to adhere to, or charge for high-res generations, this Setup brings the power directly to your computer. The Stable Diffusion WebUI is packed with features: prompt editing, sampling options, model swapping, inpainting, upscaling, and even ControlNet support. There is a learning curve, but you can generate detailed art, tweak outputs, and explore models without needing to be a coder.
Why Use Stable Diffusion WebUI?
This tool isn't just for coders or AI researchers; it is made to make AI art accessible to anyone. If you're into concept art, storytelling, meme-making, or just playing with AI to see what it can do, this tool lets you experiment endlessly without hitting a paywall. You are only limited to your imagination and the power of your GPU.
Stable Diffusion WebUI isn't just about turning text into images—though it absolutely excels at that. You can type in a prompt like "a futuristic city at sunset" and get a high-res image in seconds, but that's just the start. It also supports advanced features like image-to-image generation, where you feed in an existing picture and guide the AI to transform it while keeping the original structure. You can inpaint to fix or edit parts of an image, use ControlNet for precise pose control, and even upscale low-res results to make them print-worthy.
Stable Diffusion WebUI is actively updated, and the community around it is huge. Extensions are plentiful, and tutorials are everywhere.
Do You Need to Download a Model Separately?
Not exactly. The WebUI doesn't come with a built-in model, but here's what it does. The first time you run it, the script will automatically download Stable Diffusion v1.5 (v1-5-pruned-emaonly.ckpt) if no model is detected. It grabs this from Hugging Face, so you'll need an internet connection on the first launch. After that, everything runs locally.
The WebUI was built with model swapping in mind, so you're never locked into just one version of Stable Diffusion. You can load different versions like SD 1.4, 1.5, 2.1, and even 3.0 Beyond the standard versions, you can use custom-trained models from platforms like CivitAI or Hugging Face, as well as fine-tuned options such as Realistic Vision, Deliberate, anime-focused models, NSFW variants, and more.
You can skip the download if you already have a model, like a .ckpt or .safetensors file. Just drop your model into this folder before launching models/Stable-diffusion/
It'll use that instead. You can even keep multiple models and swap between them from the UI.
Installing Stable Diffusion WebUI
Let's get this running.
Python is a programming language. But don't worry, you don't need to know any of the language. It is just that Stable Diffusion Web UI uses Python libraries to do things. So it has to be on your PC. When you install, make sure you check the box to add Python to your environment variables. Trust me - it will make your life easier.
Note This one can be a bit of a pain in the a** to get going if you have an error, and we ran into a few. The most stubborn issue we ran into was Error code 1 during the initial install. While some users suggest adding set COMMANDLINE_ARGS=--skip-torch-cuda-test to the webui-user.bat file to bypass it, that's hit or miss—and honestly, it tends to cause more problems than it solves. The real culprit is PyTorch 2.1.2, which Stable Diffusion WebUI depends on. It's not compatible with Python 3.13.x or later. So here's the rare advice we'll give: don't use the latest version of Python. Stick with the Python 3.10.9 version for now, or you'll be chasing errors instead of generating art.
For Windows users: Inside the folder, double-click webui-user.bat — that's it. This script installs dependencies and starts the server.
The first run may take a while as it grabs Python updates, Git (if you don't have it), and the model. After that, the interface launches in your browser at 127.0.0.1:7860
For macOS/Linux users: Open Terminal and run "bash webui.sh". It'll create the Python environment, pull the model if needed, and get everything running in your browser. You'll want to install Xcode Command Line Tools ahead of time on macOS to make the Setup smoother.
Once installed and all the dependencies are added, WebUI should open up a new window in your browser, and you are good to go. If it doesn't pop open for some reason, just open your browser and type 127.0.0.1:7860 in the address bar. That's it.
Why Run This Offline?
Running locally is a big deal for several reasons:
It's also ideal for educational use or testing in sensitive environments, like schools, design studios, or R&D teams who want to keep things internal.
Pros and Cons
Pros:
Cons:
Geek Verdict
Stable Diffusion WebUI by AUTOMATIC1111 is the DIY dream for anyone into AI-generated images. It turns your PC or Mac into a fully-featured creative workstation, capable of producing art, concept visuals, avatars, or wild experiments—all without an internet connection. If you're comfortable clicking a BAT file or running a shell script, and you've got a half-decent GPU, this tool is well worth the Setup. The freedom to tinker, customize, and run things your way is hard to beat. Once you go local, cloud tools start feeling like peddling a bike on the highway. The one point to consider here is drive space. These models are not small, so make sure you have the storage before you get started.

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