LlamaCaption2 is a GUI-based image captioning tool that uses local AI models to generate customized captions for images.

#Originally : LlamaScribe by LamEmy |

Revised & Upgraded by AngryHamster

Originally developed by https://civarchive.com/user/LamEmy

revised and upgraded by AngryHamster

Github Page for the LlamaCaption2 :

git clone github.com/robertinosro/LlamaCaption2_AngryHamster

## Features

- Process multiple images in a batch

- Generate AI-powered image descriptions

- Apply custom formatting to captions

- User-friendly interface

- Works with local Ollama models

-Process at once all images in the input folder!

Quick Readme :Setup Requirements

1. Install Ollama on your system (no Python installation required)

2. [Ollama](https://ollama.ai/) installed and running locally

3. (https://ollama.com/library/llama3.2-vision)

   - A compatible vision model (like llama3.2-visioon) for image analysis

   - A compatible text model (like qwen) for caption refinement

4. Find the LlamaScribe.exe executable inside the main folder. Start the file. Enjoy captioning!

Getting Started

1. Launch LlamaScribe.exe

2. The application will open with the title "LlmamaScribe by LamEmy | Revised & Upgraded by AngryHamster (Civitai)"

Basic Usage

1. Main Tab:

   • Select the folder containing your images

   • Choose your preferred Ollama vision model

   • Click "Start Processing" to begin captioning your images

2. Advanced Tab:

   • Configure system prompts

   • Adjust additional settings for the AI models

3. Formatting Tab:

   • Enable/disable the caption prefix and suffix

   • Customize the prefix text: "A photo of a woman, bloobikkx1, curvy blonde with (a well-defined neck:1.3) and (natural proportions:1.2), "

   • Customize the suffix text: " (masterpiece, ultra-realistic, high-definition, 8K, cinematic lighting),(professional photography:1.4), (sharp focus:1.2), (studio lighting:1.2), (clear details:1.3), (professional atmosphere:1.3)"

Output

• The application will process all images in the selected folder

• Each image will receive a caption following the format:

  • [Prefix] + [AI-generated description] + [Suffix]

• Captions will be saved alongside your images

A more advanced Readme file is included in the main folder!