LLM-CAPTION

LLM Caption

This Python CLI script generates caption files for all images within a specified folder. It saves the captions using the same filename as the corresponding image, with a .txt extension, either in the same folder or in the directory specified by the output_dir argument. The script will not create captions for images that already have a corresponding caption file in the output_dir.

This project is not original but an adaptation from several other projects from https://huggingface.co/fancyfeast , https://huggingface.co/John6666 and https://huggingface.co/Wi-zz

Installation

python3 -m venv ./venv
source venv/bin/activate
pip install -r requirements.txt

Dependencies

• Google SigLIP (3.5GB) will be downloaded automatically from https://huggingface.co/google/siglip-so400m-patch14-384
• Uncensored LEXI LAMA Llama-3.1-8b-Instruct (5.5GB) will be downloaded automatically from https://huggingface.co/John6666/Llama-3.1-8B-Lexi-Uncensored-V2-nf4
• The Joy Caption model is on the checkpoint folder

Usage

#EX1
python3 ./caption.py ./test 

#EX2
python3 ./caption.py ./test \
--prompt "Describe this image in detail within 50 words." \
--output_dir /tmp/caption

Default prompt

In one paragraph, write a very descriptive caption for this image, describe all objects, characters and their actions, describe in detail what is happening and their emotions. Include information about lighting, the style of this image and information about camera angle within 200 words. Don't create any title for the image.