Releases: jhc13/taggui
v1.30.1
- Add
SmilingWolf/wd-eva02-large-tagger-v3
to models list (#257 @yggdrasil75) - Update packages to newer versions
Windows
Download taggui-v1.30.1-windows.7z
and extract the files. You may have to install 7-Zip if it is not installed.
Linux
The bundle is split into two files to stay under GitHub's 2 GB file size limit. Download both parts (taggui-v1.30.1-linux.7z.001
and taggui-v1.30.1-linux.7z.002
) and extract the files using the following command:
7z x taggui-v1.30.1-linux.7z.001
You may have to install 7-Zip if it is not installed.
v1.30.0
- Add support for more auto-captioning models
- Phi-3-Vision-128K-Instruct (#158, #246)
MiaoshouAI/Florence-2-base-PromptGen
(#243)- To generate tags with this model, use the default prompt (leave it empty) and uncheck
Remove tag separators in caption
- To generate tags with this model, use the default prompt (leave it empty) and uncheck
SmilingWolf/wd-vit-large-tagger-v3
- Add
F5
shortcut for reloading directory in addition toCtrl
+Shift
+L
(#221 @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.
v1.29.0
- Add support for Florence-2 auto-captioning model (#200)
- Add
internlm/internlm-xcomposer2-vl-1_8b
to the models list (#208)
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.
v1.28.0
- Add option to use regex for find and replace (#191 @yggdrasil75)
- Add option to show an alert when auto-captioning is finished (#172 #180 @geroldmeisinger)
- Show start time, end time, and average time per image when auto-captioning multiple images (#179 @geroldmeisinger)
- Reduce directory loading time (#162 @yggdrasil75)
- Fix errors caused by empty strings in "Discourage from caption" and "Include in caption" (#194)
- Handle errors when getting Exif tags (#175 #178 @geroldmeisinger)
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.
v1.27.0
- 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
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
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.