Capybara is a unified visual creation model that provides inference capabilities for text-to-video, text-to-image, instruction-based video-to-video, and instruction-based image-to-image tasks. The system features a modular architecture with separate components for model handling, pipeline orchestration, and utility functions. Key entry points include the main inference script, ComfyUI custom nodes, and batch/single inference scripts. The system supports distributed multi-GPU inference, prompt rewriting using Qwen3-VL, and FP8 quantization for reduced memory usage.