v1.27.0

• Add support for the InternLM-XComposer2-4KHD auto-captioning model (#120, #131)
  • Unquantized only; requires 24+ GB of VRAM
• Fix Triton error for CogVLM2 in the Linux bundle (#177)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.26.0

• Add support for the CogVLM2 auto-captioning model (Linux only) (#149)
• Allow using the backspace key to delete tags (#155 @Cernunnos)
• Fix outputs for the LLaVA-NeXT (LLaVA v1.6) Vicuna auto-captioning models

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.25.2

• Add setting to disable tag autocomplete (#147 #148 @kappa54m)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.25.1

• Handle error when loading Exif tags (#143)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.25.0

• Add prompt template variables for auto-captioning (see the README for details)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.24.0

• Add toggle selection mode for image list
• Add context menu action to open image in default app

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.23.1

• Reduce unnecessary messages in the console during auto-captioning

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.23.0

• Allow selecting multiple tags in the All Tags list for renaming or deletion (#118)
• Add support for the LLaVA-Llama-3-8B auto-captioning model (#127)
• Allow using the numpad Enter key when adding or renaming tags (#125 @yggdrasil75)
• Handle error when checking Exif tags (#123)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.22.0

• Add setting for file formats shown in the image list (#121 @yggdrasil75)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.

v1.21.0

• Allow selecting which GPU to use for auto-captioning on multi-GPU setups (in advanced settings) (#112)

The bundle is compressed as a .7z file to stay under GitHub's 2 GB file size limit. You may need to install 7-Zip on your system to extract the files. Download the file for your operating system, extract it, then run the executable file inside.