Free University Lecture Teaches Building a ComfyUI Workflow from Scratch for Z-Image Turbo
CeFurkan · reddit · 2026-09-22
A fully free university-style tutorial (Lecture 2 of a 14-lecture semester plan) walks through building a ComfyUI workflow from scratch for Z-Image Turbo.
The 33-minute video covers updating ComfyUI and Python dependencies, loading three models and connecting their roles, turning prompts into conditioning, choosing sampling settings, and decoding latents to save images. It dives into Turbo-specific behavior: comparing sampling steps, testing guidance changes on the distilled model, the negative branch at guidance 1, and fixed vs random seeds. It ends by recovering the workflow from PNG metadata and exporting JSON.
Useful for beginners who want to understand the node graph mechanics rather than just copying templates.
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