Qwen-Image 2.1 on a 48 GB Mac: ComfyUI tests and real examples

Introduction and Evaluation

Originally published on Peak Evergreen. If you only do one thing: Test one complete asset workflow. Generate it, make one specific revision, place it in a real layout, and count every attempt. An attractive first image is useful; an asset you can revise and deliver consistently is much more valuable. A good image-model demo answers one question: can this model make something impressive? A useful evaluation asks several more. Can I change the background without changing the product? Does the transparent asset actually have usable edges? Can I get a second version without starting over? How much time passes before the result is ready to use? Those are the questions that interest me about Qwen-Image 2.1. I have the weights downloaded and running in ComfyUI Desktop on a MacBook Pro with 48 GB of unified memory. That gives this article a practical direction: understanding where the model could fit, then testing those assumptions on a machine someone might already own. What this session found: I completed 20 local