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Releases: kraussian/invoke-civitai

v0.3a

27 Jul 03:57
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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

  1. Download the latest release, and unzip to a new folder
  2. Drag & Drop the images you want to convert to the converter.bat file
  3. 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

26 Jul 15:02
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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

  1. Download the latest release, and unzip to a new folder
  2. Drag & Drop the images you want to convert to the converter.bat file
  3. 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

23 Jul 11:07
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Usage Instructions

  1. Download the latest release, and unzip to a new folder
  2. Drag & Drop the images you want to convert to the converter.bat file
  3. 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

04 Jul 12:04
008cea3
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Usage Instructions

  1. Download the latest release, and unzip to a new folder
  2. Drag & Drop the images you want to convert to the converter.bat file
  3. 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.