What problem does it solve? Running ComfyUI generative pipelines programmatically requires juggling installation, model downloads, custom node dependencies, workflow JSON formats, and execution monitoring — the official CLI covers setup but not workflow execution. This Skill bridges that gap with scripts for parameter injection, batch runs, dependency checking, and output download against local or Comfy Cloud servers. ## Core Features & Use Cases - Workflow Execution: Inject parameters (prompt, seed, steps, dimensions) into API-format workflow JSON, submit to a local or cloud server, monitor progress via WebSocket, and download outputs safely. - Setup & Dependency Management: Hardware checks route users to local install or Comfy Cloud, while check_deps and auto_fix_deps detect and install missing custom nodes and models. - Batch Generation: Run a workflow N times with randomized seeds and parallel submissions up to your cloud tier limit. - Use Case: A user asks for eight variations of an SDXL image with a given prompt; the Skill verifies the server and checkpoint, injects the prompt with random seeds, runs the batch, and returns the output file paths. ## Quick Start Ask the AI to generate an image with a specific prompt using the included SDXL workflow, and it will check the server, inject your parameters, and return the output files.