pupba - Overview

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👋 Welcome to Pupba Lab

Exploring AI Pipelines, MLOps, and Open Source🐇✨


🐇 About Me

Hi! I'm Gwangwon Jung,
a Vision AI & Generative AI engineer.

My main areas of interest include:

  • 🖼️ Image, Video generation and processing
  • 🧠 Large Language Models (LLMs)
  • 👁️ Computer Vision
  • 🛠️ MLOps and pipeline automation

🔭 Featured Projects

Rabbit-Hole

Python ComfyUI-Inspired CUDA License

A modular, production-ready image generation pipeline inspired by ComfyUI but designed for MLOps, automation, and large-scale batch workflows.

  • Pythonic, class-based pipeline definition (Executors, Tunnels, Tools)
  • YAML config for reproducibility
  • Easy extension and custom models
  • Built for enterprise/research/automation

BAGEL-DFloat11-Windows

Python CUDA Torch License

A Windows-adapted repo for running BAGEL-DFloat11 models with full CUDA 12.4 and RTX 4090 support.

  • Windows support for DFloat11-based multimodal LLMs (e.g., BAGEL)
  • Easy setup with all required wheels and install scripts
  • For researchers and developers looking for fast, high-precision LLMs on Windows

LangChain-OpenTutorial

Python LangChain Chroma Qdrant Jupyter

An open tutorial built with LangChain and LangGraph, designed for hands-on learning via Jupyter Notebooks.
I contributed to the VectorStore module, including the base tutorial templates and integrations with Chroma and Qdrant.
More contributions are planned in the future!

Comfy_ForEach

Python ComfyUI AWS EventBridge

A custom node for ComfyUI designed to support batch-based processing within workflows.
It enables users to iterate over input lists during generation and can be deployed on AWS, where it integrates with EventBridge to handle batch-completion or error notifications.


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