Releases: kraussian/invoke-civitai
v0.3a
Change Log
v0.3a: Bugfix where in-painted image was being overwritten with original image
v0.3: Added support for in-painted images, by auto-extracting metadata from the original image which was in-painted
v0.2: Added option to auto-calculate the sha256 hashes from model files on disk
Usage Instructions
- Download the latest release, and unzip to a new folder
- Drag & Drop the images you want to convert to the
converter.bat
file - That's it! The converted images will be saved in the same folder as the original, with
_a1111
appended to the file name
Note
The converter will take a bit of time the first time you launch it, as it will create a new Python venv
and install necessary modules to it. But subsequent runs should be super fast.
v0.3
Change Log
v0.3: Added support for in-painted images, by auto-extracting metadata from the original image which was in-painted
v0.2: Added option to auto-calculate the sha256 hashes from model files on disk
Usage Instructions
- Download the latest release, and unzip to a new folder
- Drag & Drop the images you want to convert to the
converter.bat
file - That's it! The converted images will be saved in the same folder as the original, with
_a1111
appended to the file name
Note
The converter will take a bit of time the first time you launch it, as it will create a new Python venv
and install necessary modules to it. But subsequent runs should be super fast.
v0.2
Usage Instructions
- Download the latest release, and unzip to a new folder
- Drag & Drop the images you want to convert to the
converter.bat
file - That's it! The converted images will be saved in the same folder as the original, with
_a1111
appended to the file name
Note
The converter will take a bit of time the first time you launch it, as it will create a new Python venv
and install necessary modules to it. But subsequent runs should be super fast.
Initial Release
Usage Instructions
- Download the latest release, and unzip to a new folder
- Drag & Drop the images you want to convert to the
converter.bat
file - That's it! The converted images will be saved in the same folder as the original, with
_a1111
appended to the file name
Note
The converter will take a bit of time the first time you launch it, as it will create a new Python venv
and install necessary modules to it. But subsequent runs should be super fast.