FastSD CPU is a faster version of Stable Diffusion on CPU. Based on Latent Consistency Models. The following interfaces are available :

• Desktop GUI (Qt)
• WebUI
• CLI (CommandLine Interface)

Using OpenVINO, it took 10 seconds to create a single 512x512 image on a Core i7-12700.

• Windows
• Linux
• Mac
• Raspberry PI 4

• Supports 256,512,768 image sizes
• Supports Windows and Linux
• Saves images and diffusion setting used to generate the image
• Settings to control,steps,guidance and seed
• Added safety checker setting
• Maximum inference steps increased to 25
• Added OpenVINO support
• Added web UI
• Added CommandLine Interface(CLI)
• Fixed OpenVINO image reproducibility issue
• Fixed OpenVINO high RAM usage,thanks deinferno
• Added multiple image generation support
• Application settings

Thanks deinferno for the OpenVINO model contribution. We can get 2x speed improvement when using OpenVINO.

Following LCM models are supported:

• LCM_Dreamshaper_v7 -https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7 by Simian Luo
• LCM_Dreamshaper_v7-openvino - https://huggingface.co/deinferno/LCM_Dreamshaper_v7-openvino by deinferno

❗You must have a working Python installation.(Recommended : Python 3.10 or 3.11 )

Clone/download this repo or download release.

• Double click install.bat (It will take some time to install,depending on your internet speed.)

You can run in desktop GUI mode or web UI mode.

• To start desktop GUI double click start.bat

• To start web UI double click start-webui.bat

Ensure that you have Python 3.8 or higher version installed.

• Clone/download this repo

• In the terminal, enter into fastsdcpu directory

• Run the following command

  chmod +x install.sh

  ./install.sh

./start.sh

./start-webui.sh

Ensure that you have Python 3.8 or higher version installed.

• Clone/download this repo

• In the terminal, enter into fastsdcpu directory

• Run the following command

  chmod +x install-mac.sh

  ./install-mac.sh

./start.sh

./start-webui.sh

Thanks Autantpourmoi for Mac testing.

❗We don't support OpenVINO on Mac.

If you want to increase image generation speed on Mac(M1/M2 chip) try this:

export DEVICE=mps and start app start.sh

Due to the limitation of using CPU/OpenVINO inside colab, we are using GPU with colab.

Open the terminal and enter into fastsdcpu folder. Activate virtual environment using the command:

(Suppose FastSD CPU available in the directory "D:\fastsdcpu") D:\fastsdcpu\env\Scripts\activate.bat

source env/bin/activate

Start CLI src/app.py -h

Thanks WGNW_MGM for Raspberry PI 4 testing.FastSD CPU worked without problems. System configuration - Raspberry Pi 4 with 4GB RAM, 8GB of SWAP memory.

The fastsdcpu project is available as open source under the terms of the MIT license