Wavemaker Blog
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What Is an AI Workflow? (And Why Typed Pipelines Beat One-Off Prompts)
An AI workflow is a compiled graph of typed steps — planning, generation, review, assembly — that you can run, memoize, publish to /w/{slug}, and expose as API and MCP. Here is how Wavemaker defines it.
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Train a LoRA Online Without a Local GPU
Use Wavemaker Training Studio to train image, video, and voice LoRAs on hosted GPUs—pick your epoch, bind into workflows, and skip the Python stack entirely.
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From ComfyUI Graph to Sellable Product, No GPU Required
Import a ComfyUI workflow, harden it with review gates, and publish to the Hub — a shareable app page, optional per-run pricing, LoRAs on runnable hosts, and lineage — without hosting ComfyUI or custom nodes.
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Drive Wavemaker Workflows from Your AI Agent (MCP Builder Mode)
Connect Cursor, Claude, or any MCP client to Wavemaker's builder surface: draft a workflow in plain language, run any Hub workflow as a typed tool, and train custom models — copy-paste configs included.