What Pony Diffusion is and what you need before you start
Pony Diffusion is a specialized version of the Stable Diffusion image generation model trained specifically to draw horses and pony characters. Instead of the general-purpose Stable Diffusion model, Pony Diffusion has learned from thousands of images of horses, ponies, and equine art, so it produces better results when you ask it to generate those subjects.
You run Pony Diffusion on your own computer using free software. It is not a web service you log into — you download the model files, install the necessary programs, and generate images locally. This means you need a computer with enough storage space and processing power to handle it.
Before you begin, check that your computer meets the basic requirements. You need at least 8 GB of RAM (16 GB is better), a graphics card with at least 4 GB of VRAM if you have an NVIDIA card, and about 20 GB of free disk space for the model files and software. If your computer does not have a dedicated graphics card, the process will be much slower but still possible.
Key Takeaways
- Pony Diffusion runs on your own computer using free software called a UI launcher, which you download and install first.
- You then download the Pony Diffusion model file itself (usually 4 to 7 GB) into the launcher's designated folder.
- The entire setup takes 30 minutes to an hour on most computers, depending on your internet speed and hardware.
- Windows computers are easiest to set up; Mac and Linux are possible but require more technical steps.
- Once installed, you generate images by typing a text description and clicking a button — no coding required.
Installing a launcher on Windows
The easiest path on Windows is to use AUTOMATIC1111, a free launcher that handles all the setup for you. Go to the GitHub page for AUTOMATIC1111 (search "stable-diffusion-webui" on GitHub) and look for the green "Code" button. Click it and select "Download ZIP". Save the file to a folder you can find easily, like your Desktop or Documents.
Unzip the folder by right-clicking it and selecting "Extract All". Open the unzipped folder and look for a file called webui-user.bat. Double-click it. The first time you run it, the launcher will download Python and other required software automatically — this can take 5 to 10 minutes depending on your internet speed. You will see a command window open and close several times. This is normal. When it finishes, a web browser window will open showing the AUTOMATIC1111 interface.
If the browser window does not open, open your web browser manually and go to http://localhost:7860. You should see a black interface with text fields and buttons. If you see an error instead, close the command window and run webui-user.bat again.
Downloading and installing the Pony Diffusion model
The model file itself is separate from the launcher. Go to Civitai.com, a website where people share trained models. Search for "Pony Diffusion" and look for the official version (usually labeled as such by the creator). Click the download button next to the model version you want — most people use the standard version, not the "inpainting" or other variants.
The file will be between 4 and 7 GB depending on the version. Save it to the models/Stable-diffusion folder inside your AUTOMATIC1111 installation. If you are not sure where that is, open the AUTOMATIC1111 folder you unzipped earlier, then open the "models" folder, then the "Stable-diffusion" folder. Paste the downloaded model file there. Do not rename it.
Once the file is in the correct folder, go back to the AUTOMATIC1111 web interface in your browser. At the top left, you should see a dropdown menu that currently says "None" or shows another model name. Click it and select the Pony Diffusion model from the list. If it does not appear, refresh the page (press F5) and try again.
Generating your first image
In the text field labeled "Prompt", type a description of what you want to generate. For example: "a brown pony standing in a meadow, digital art". The more specific you are, the better the results. In the field below it labeled "Negative prompt", you can type things you do not want — for example, "blurry, low quality, deformed".
Leave the other settings at their defaults for now. Click the blue "Generate" button. The first generation will take longer than later ones because the model is loading into your graphics card's memory. Depending on your hardware, this can take anywhere from 30 seconds to several minutes. You will see a progress bar. When it finishes, the generated image will appear on the right side of the screen.
If you get an error about running out of memory, your graphics card does not have enough VRAM. Go to the Settings tab, scroll down to "Optimization", and enable "Attention optimization" or "Memory efficient attention". This makes generation slower but uses less memory. Then try generating again.
Installation on Mac and Linux
Mac and Linux users can use AUTOMATIC1111, but the setup is more involved because you need to install Python and Git yourself first. On Mac, the easiest route is to use Homebrew (a package manager). Open Terminal and run the command brew install python git. On Linux, use your distribution's package manager — for Ubuntu, that is sudo apt install python3 python3-pip git.
Once Python and Git are installed, follow the same GitHub steps as Windows users: download the AUTOMATIC1111 repository, unzip it, and run the launcher file. On Mac, the file is called webui.sh. On Linux, it is also webui.sh. Right-click the file, select "Open" (Mac) or open Terminal in that folder and type bash webui.sh (Linux). The rest of the process is identical to Windows.
If you run into permission errors on Mac or Linux, you may need to make the file executable first. Open Terminal in the AUTOMATIC1111 folder and type chmod +x webui.sh, then run it again.
Troubleshooting common problems
If the launcher will not start, make sure you have at least 20 GB of free disk space. The launcher needs room to download Python, dependencies, and the model file. If you are close to full, delete old files or move the installation to a different drive.
If generation is very slow (taking more than 10 minutes per image), your computer is likely using your CPU instead of your graphics card. On Windows, make sure your graphics drivers are up to date. NVIDIA users should download the latest drivers from NVIDIA's website. AMD users should download drivers from AMD's website. After updating, restart your computer and try again.
If you see "CUDA out of memory" errors, your graphics card does not have enough VRAM for the model. Enable memory optimization in Settings, or reduce the image resolution in the launcher (try 512x512 instead of 768x768). You can also try a smaller version of Pony Diffusion if one is available on Civitai.
Frequently Asked Questions
Do I need an internet connection after installation?
No. Once the model is downloaded and installed, you can generate images offline. You only need internet to download the launcher and model files initially, and to download updates later if you choose to.
Can I use Pony Diffusion on a laptop without a graphics card?
Yes, but it will be slow — typically 5 to 15 minutes per image instead of 30 seconds to 2 minutes. Your CPU will do the work instead of a graphics card. It is still usable for testing and learning, just not practical for generating many images quickly.
What is the difference between the model versions on Civitai?
Different versions have been trained on different amounts of data or with different settings. The standard version is usually the best starting point. Newer versions are often better but larger. Read the description on Civitai for each version to see what changed.
Can I use Pony Diffusion with other launchers besides AUTOMATIC1111?
Yes. Other launchers like Comfy UI and InvokeAI also support Pony Diffusion. The process is similar: install the launcher, download the model file, and place it in the models folder. AUTOMATIC1111 is the most beginner-friendly option.
Is Pony Diffusion free to use?
Yes. The model, the launcher software, and all the supporting tools are free and open-source. You only pay for electricity to run your computer.