🔍 Primary Functionality

Automated image captioning and dataset curation using state-of-the-art Vision Language Models (VLM). Streamline your LoRA training data preparation with local, privacy-focused AI.

⚡ Key Capabilities

• Multi-Model Support: Seamless switching between Florence-2 (Speed) and Qwen3-VL (Accuracy).
• Non-Blocking UI: Asynchronous processing ensures the interface remains responsive during heavy inference.
• Batch Processing: Rapidly tag and caption thousands of images with custom prefixes and suffixes.

🚀 Main Benefits

• Privacy First: All inference runs locally on your GPU—no data leaves your machine.
• Efficiency: Reduce dataset preparation time by up to 80% compared to manual tagging.
• Precision: High-fidelity captions specifically optimized for generative AI training.