🎉 **New!**`img2img` and `inpaint` (masking) are now supported! You can provide an image to generate new images based on it (and an optional text prompt). You can also use the generated image as the new input image in 1-click, to refine it further. (Thanks [Andreas](https://github.com/andreasjansson)!)
2. Linux or Windows 11 (with [WSL](https://docs.microsoft.com/en-us/windows/wsl/install)) or Windows 10 v2004+ (Build 19041+) with [WSL](https://docs.microsoft.com/en-us/windows/wsl/install).
**Important:** If you're using Windows, please install docker inside your [WSL](https://docs.microsoft.com/en-us/windows/wsl/install)'s Linux. Install docker for the Linux distro in your WSL. **Don't install Docker for Windows.**
1. Clone this repository: `git clone https://github.com/cmdr2/stable-diffusion-ui.git` or [download the zip file](https://github.com/cmdr2/stable-diffusion-ui/archive/refs/heads/main.zip) and unzip.
2. Open your terminal, and in the project directory run: `./server` (warning: this will take some time during the first run, since it'll download Stable Diffusion's [docker image](https://replicate.com/stability-ai/stable-diffusion), nearly 17 GiB)
You can also set an `Image Mask` for telling Stable Diffusion to draw in only the black areas in your image mask. White areas in your mask will be ignored.
**Pro tip:** You can also click `Use as Input` on a generated image, to use it as the input image for your next generation. This can be useful for sequentially refining the generated image with a single click.
Please [file an issue](https://github.com/cmdr2/stable-diffusion-ui/issues) if this did not work for you (after trying the common [troubleshooting](#troubleshooting) steps)!
You can also set the configuration like `seed`, `width`, `height`, `num_outputs`, `num_inference_steps` and `guidance_scale` using the 'show' button next to 'Advanced settings'.
Use the same `seed` number to get the same image for a certain prompt. This is useful for refining a prompt without losing the basic image design. Enable the `random images` checkbox to get random images.
Please ensure you have `docker-compose` version 1.29 or higher. Check `docker-compose --version`, and if required [update it to 1.29](https://docs.docker.com/compose/install/). (Thanks [HVRyan](https://github.com/HVRyan))
If you have an NVIDIA GPU and the latest [NVIDIA driver](http://www.nvidia.com/Download/index.aspx), please ensure that you've installed [nvidia-container-toolkit](https://stackoverflow.com/a/58432877). (Thanks [u/exintrovert420](https://www.reddit.com/user/exintrovert420/))
## Some other process is already running at port 8000 / port 8000 could not be bound
You can override the port used. Please change `docker-compose.yml` inside the project directory, and update the line `8000:8000` to `1337:8000` (or where 1337 is whichever port number you want).
This project is a quick way to get started with Stable Diffusion. You do not need to have Stable Diffusion already installed, and do not need any API keys. This project will automatically download Stable Diffusion's docker image, the first time it is run.
This project runs Stable Diffusion in a docker container behind the scenes, using Stable Diffusion's [Docker image](https://replicate.com/stability-ai/stable-diffusion) on replicate.com.
This 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 and target vulnerable groups. For the full list of restrictions please read [the license](LICENSE).
