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runpod-worker

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A RunPod serverless worker for Donut (Document Understanding Transformer), NAVER's OCR-free document AI model. Donut takes a document image plus a task prompt and produces structured JSON directly — no separate OCR step, no detector pipeline. The model is small (~200M params), fast on a single GPU, and remarkably accurate on layout-driven documents

  • Updated May 23, 2026
  • Python

A serverless OCR worker for RunPod powered by PaddleOCR and PP-Structure, providing high-accuracy multilingual text recognition and structured document understanding. It delivers stronger performance for Asian scripts (Chinese, Japanese, Korean), Arabic-script languages (Arabic, Persian/Farsi, Urdu), and complex document layouts including tables...

  • Updated May 24, 2026
  • Python

Serverless GPU Stable Diffusion XL worker for Runpod, powered by diffusers. Generate images from text, transform existing images, or inpaint masked regions — all from a single serverless endpoint. Supports SDXL Base 1.0, SDXL Turbo, SDXL Lightning, Juggernaut XL, Playground V2, plus the official SDXL refiner for a final detail pass.

  • Updated May 24, 2026
  • Python

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