runpod
CommunityDeploy GPU workloads on RunPod.
AuthorMartinPirate
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the deployment and management of GPU-accelerated workloads on RunPod, enabling users to leverage cloud GPUs for tasks like image editing, upscaling, and AI inference without complex infrastructure setup.
Core Features & Use Cases
- Serverless GPU Endpoints: Deploy Docker images for video processing and AI tasks.
- API Interaction: Synchronous and asynchronous job execution, cancellation, and webhook support.
- Use Case: Quickly deploy a Stable Diffusion model as a RunPod serverless endpoint to generate images from text prompts, scaling automatically based on demand.
Quick Start
Use the runpod skill to run an image upscaling job on the 'upscale' endpoint with the attached image file.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: runpod Download link: https://github.com/MartinPirate/video-toolkit/archive/main.zip#runpod Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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