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
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Run the following command
chmod +x install.sh./install.sh -
To start FastSD CPU run
chmod +x start.sh./start.sh