Stable diffusion v2.1 was released by StabilityAI on Dec 7, 2022 (announcement).
Stable Diffusion v2.0 was widely criticised by users who saw it as inferior to the previous version, V1.5.
What happened?
To train SD v2.0, StabilityAI used a much larger dataset of images, but filtered the adult content out using LAION’s NSFW filter (LAION is a non-profit group which makes models and datasets for AI researchers).
The larger dataset means that v2.0 was better than previous models at inanimate things such as architecture and landscapes.
The problem was that the adult content filter was very aggressive, and dramatically cut down on the images of people in the dataset, even the ones that were safe for work.
Users had a much harder time generating high-quality people. Since people are probably the largest use case of Stable Diffusion, they were quite upset.
StabilityAI reacted quickly to fix the problem with Stable Diffusion v2.1. This model still filters out adult content, but the filter is nowhere near as aggressive as before. This gives the best of both worlds - improvements in inanimate things, as well as improvements in people.
Installation
Before proceeding with installation, here are the recommended specs:
- 16GB RAM
- NVIDIA (GTX 7xx or newer) GPU with at least 2GB VRAM (AMD GPU will work, but NVIDIA is recommended)
- Linux or Windows 7/8/10+ or Mac M1/M2 (Apple Silicon)
- 10GB disk space (includes models)
1. Download the model file
The model is all the stuff the AI has been trained on and is capable of generating. Model files end in '.ckpt', which stands for 'checkpoint'.
There are two variants of the Stable Diffusion v2.1 model.
Stable Diffusion v2.1 (768)
- Download the model file: v2-1_768-ema-pruned.ckpt
- Download the .yaml config file, rename it to
v2-1_768-ema-pruned.yaml(right click the link >Save link as...> save the file)
Put both of them in the model directory:
stable-diffusion-webui/models/Stable-diffusion
Stable Diffusion v2.1 (512-base)
- Download the model file: v2-1_512-ema-pruned.ckpt
- Download the .yaml config file, rename it to
v2-1_512-ema-pruned.yaml(right click the link >Save link as...> save the file)
Put both of them in the model directory:
stable-diffusion-webui/models/Stable-diffusion
2. Download the Web UI
This is the user interface you will use to run the generations.
The most popular Stable Diffusion user interface is AUTOMATIC1111's Stable Diffusion WebUI. I've tried a couple of apps and I can see why people like AUTOMATIC1111 so much. The developers are lightning fast and they keep on adding to an already impressive and robust feature-set.
Here are the installation instructions for the WebUI depending on your platform:
- Installation for Windows NVIDIA GPU: instructions (new tab)
- Installation for Apple Silicon (Mac M1/M2): instructions (new tab)
- Installation for Linux: instructions (new tab)
3. Place the Model in the Web UI folder
Put both of them in the model directory:
stable-diffusion-webui/models/Stable-diffusion
Rename the files like so:
v2-inference-v.yaml -> v2-1_512-ema-pruned.yaml
You can rename these files whatever you want, as long as filename for model and config file are the same before the file extension. Since you will be placing all future models into this folder choose a descriptive name that helps you remember what this is.
4. Start the Web UI
- Windows: double-click
webui-user.batto start - Linux: run
webui-user.shto start - Mac: run the command
./webui.shin terminal to start
You will know it's ready when you see the line Running on local URL: http://127.0.0.1:7860
Let's open up our web browser and go to this address: http://127.0.0.1:7860
You'll notice at the top there's a toggle called "Stable Diffusion Checkpoint".
You can use this to switch to any model you have placed in the stable-diffusion-webui/models/Stable-diffusion folder.
If you put the model in the folder after you start the Web UI, you will need to restart the Web UI to see the model.
Your linux install instructions are outdated. Linux is fully supported by Automatic1111’s stable diffusion webui, you don’t have to use that sygil thing (also sygil doesn’t support safetensors which kinda sucks)
You can now install on linux in /home/username/stable-diffusion-webui
Just by running this command (as suggested on the stable diffusion webui git page):
bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)
Hey Linuxman, that’s great news. Thanks for notifying me, I have updated the article.
When I click on the link to download the .yaml config file it brings me to a page full of code but it doesn’t download anything. I’m new to this kind of stuff so sorry if I’m missing something. Also I just wanted to say I read your bio and I’m quite inspired by how you decided to travel across the states working odd jobs instead of living a conventional life, it sounds cool.
Hey Stable,
My bad, I should have made it more clear. Right click the link > Save link as… > then save it as a file on your computer.
Glad you liked the story. I do encourage more people to do what resonates with them.
Thank you for being here.
Yubin
Hi!
The links for installing AUTOMATIC1111’s Stable Diffusion WebUI on M1/Silicon Macs are dead 🙁 [https://aituts.com/automatic1111s-webgui-apple-silicon/]
Hey Ed, thanks for letting me know. Have updated it.