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Downlad latest Joy Caption from here : https://www.patreon.com/posts/118827960

It supports

Joy Caption Pre Alpha

Joy Caption Alpha One

Joy Caption Alpha Two

Joy Caption Beta One - Newest and Best

Beta One is extremely fast, advanced, and supports full batch processing

When doing multi-GPU batch captioning displayed statistics could be wrong

Downlad latest Joy Caption from here : https://www.patreon.com/posts/118827960

Here a Hugging Face space that you can test it yourself : https://huggingface.co/spaces/fancyfeast/joy-caption-pre-alpha - still working

I have been requested to make a Gradio app for this so i made an advanced app and 1-click installers

It uses a clip siglip-so400m-patch14-384 and Meta-Llama-3.1-8B-Instruct as model and a fine tuned checkpoint for better captioning

My app who wants to checkout :  https://www.patreon.com/posts/110613301

It has batch folder captioning feature as well and auto save all captioned images and captions into outputs folder

Also I have a very lightweight, super fast Gradio caption editor. Since I don't like other existing apps, i self developed this one from scratch : https://www.patreon.com/posts/108992085

Files

Comments

Neo Geo

Would love for you to embed this into SUPIR!

Diggy Dre

Is it possible to get this level of precision into a WD14 style of caption list for training SDXL? This is far more superior than WD14 in it's description.

Diggy Dre

I know that, I am asking that, for those of us that still want to train some SDXL stuff, is it possible to use this and automate what this makes into something that removes the redundant words (for SDXL) and leaves the relevant words as tags in a WD14 style list of keywords? I feel like the level of detail as far as the specific tags this could generate would be awesome for that if there was a way to automate it. So basically, backward engineering what this is capable of for those who still want to train SDXL.