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runpod-worker

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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

Serverless CPU-only MediaPipe Tasks worker covering the full vision catalog through a single endpoint: pose estimation, hand landmarks, face mesh, holistic (pose + hands + face), object detection, image segmentation, and gesture recognition — plus an annotation mode that overlays everything onto the input image.

  • Updated May 24, 2026
  • Python

Serverless GPU worker that turns a text prompt into a short video clip using AnimateDiff — a research-grade motion module that bolts onto any Stable Diffusion 1.5 or SDXL checkpoint and gives it temporal awareness. Served via the diffusers library on Runpod serverless. Pick a base model, pick a motion adapter, optionally stack a camera-motion LoR

  • Updated May 23, 2026
  • Python

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

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