Phase 6: ComfyUI — Workflow Engine · 60 min · Python · ComfyUI

Workflow Design Patterns

Base+refiner, LoRA stacking, ControlNet, upscaling, batch, image-to-video — these patterns are the building blocks of every ComfyUI production workflow.

Real-world application: Workflow design pattern knowledge (base+refiner, LoRA stacking, ControlNet, upscaling) is tested in ComfyUI workflow challenges — you need to design and build these from scratch.

What you will learn

Build a base generation workflow: checkpoint → prompt → KSampler → VAE decode → save
Build a refiner pipeline: base model generates latent → refiner model improves quality
Build a LoRA stacking workflow: multiple LoRA loaders with weight blending
Build an upscaling workflow: generate → latent upscale → high-res KSampler → ESRGAN

Objective

Turn an exploratory graph into a reproducible, parameterized, inspectable production workflow. In the paired studio lab, design and build a production-quality ComfyUI workflow that combines at least 3 patterns: base generation + LoRA stacking + upscaling. Export as API-format JSON, then drive it programmatically with parameter patching to generate 5 variants of the same subject with different styles.

The Problem

A team knows ComfyUI basics — load checkpoint, encode prompt, sample, save. But they need:

Higher quality: base model + refiner model for detail enhancement
Style control: multiple LoRAs blended together
Structural control: ControlNet to guide composition from a reference image
Higher resolution: upscaling without losing quality
Batch generation: multiple images from one workflow

They don't know the design patterns that solve these problems. Workflow design pattern knowledge is tested in ComfyUI workflow challenges — you need to design and build these from scratch.

What you'll build
Build a base+refiner pipeline, LoRA stacking workflow, ControlNet workflow, and upscaling workflow. Understand batch generation patterns. These are the building blocks of every production ComfyUI workflow.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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Key terms in this lesson

LoRA (Low-Rank Adaptation)