Buyer rule
Start with the image workflow
Start with ComfyUI install path, PyTorch build, GPU support, graph complexity, custom nodes, model storage, RAM target, scratch storage, monitor layout, and cooling.

ComfyUI image generation workstation
ComfyUI can turn image generation into a graph-heavy workstation workload. The cart should account for GPU support, PyTorch build, model folders, custom nodes, storage speed, browser workflow, monitor space, and sustained cooling.
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Buyer rule
Start with ComfyUI install path, PyTorch build, GPU support, graph complexity, custom nodes, model storage, RAM target, scratch storage, monitor layout, and cooling.
Risk
The common mistake is buying a compact gaming setup before checking local Python environment needs, model-folder growth, monitor layout, and sustained GPU cooling.
Amazon AI image lanes
Use these lanes after the model path, UI stack, GPU support, storage plan, display layout, input gear, backup route, and power protection are specific. Amazon has the live listing details, seller terms, shipping, returns, and exact product specifications.
System lane for node graphs, custom nodes, model folders, previews, and generated outputs.
GPU lane for local acceleration, image size, batch headroom, graph complexity, and upscaling.
Memory lane for browser tabs, node graphs, image tools, model managers, and multitasking.
Storage lane for checkpoints, LoRAs, control models, custom nodes, inputs, and outputs.
Display lane for ComfyUI browser, preview windows, file browser, notes, references, and editing tools.
Case lane for large GPUs, sustained sessions, intake path, exhaust path, and lower desk noise.