Stable Diffusion in Docker with HTTP interface

inspired https://github.com/fboulnois/stable-diffusion-docker

many thx!!

Before you start

The pipeline uses the full model and weights which requires 8GB+ of GPU RAM. On smaller GPUs you may need to modify some of the parameters. It should take a few seconds to create one image.

Since it uses the official model, you will need to create a user access token in your Huggingface account. Save the user access token in a file called token.txt and make sure it is available when building the container.

Quickstart

The pipeline is managed using a single build.sh script. You must build the image before it can be run.

Build

Make sure your user access token is saved in a file called token.txt. The token content should begin with hf_...

To build:

./build.sh build  # or just ./build.sh

Run Docker Container

To run:

./build.sh run

Outputs

Model

The model and other files are cached in a volume called huggingface.

Images

The images are saved as PNGs in the output folder using the prompt text. The build.sh script creates and mounts this folder as a volume in the container.

Generate

./gen.py An impressionist painting of a parakeet eating spaghetti in the desert

if your terminal supports sixel, install libsixel-bin (also img2sixel) and run

./gen.sh An impressionist painting of a parakeet eating spaghetti in the desert

switch model

./switch-model.sh