Faster version of stable diffusion running on CPU.

Took 10 seconds to generate single 512x512 image on Core i7-12700(With OpenVINO).

Based on Latent Consistency Models .

• Supports 256,512,768 image sizes
• Supports Windows and Linux
• Saves images
• Settings to control,steps,guidance and seed
• Added safety checker setting
• Maximum inference steps increased to 25
• OpenVINO support

Thanks deinferno for the OpenVINO model contribution. Currently, it is tested on Windows only,by default it is disabled. We found a 50% speed improvement using OpenVINO.It Took 10 seconds to generate single 512x512 image on Core i7-12700

Currently LCM model(Dreamshaper_v7) is supported (Diffuser format).

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

❗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,depends on your internet speed.)

• To start fastsdcpu double click start.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

• To start FastSD CPU run

  chmod +x start.sh

  ./start.sh

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