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§ THE STACK / APPLICATION LAYER

Generation Studios

ComfyUI, AUTOMATIC1111, InvokeAI, Fooocus, SwarmUI. image/video pipelines

The surfaces humans actually interact with: chat UIs, notebooks, generation studios.

What it is

ComfyUI is a node-graph editor for diffusion models: Stable Diffusion, FLUX, Stable Video, AnimateDiff. You wire model loaders, samplers, conditioning nodes, and post-processing into a graph and run it. Automatic1111 is the older single-page-app cousin. Both are how artists, hobbyists, and a growing number of commercial studios actually generate images and short video at scale on self-hosted hardware.

What goes wrong

ComfyUI ships with no authentication and an HTTP API that accepts arbitrary Python custom-node code execution as a feature. Workflow JSON files include the full graph (model paths, LoRA weights, sometimes seeds and prompts), which is enough to reconstruct an operator’s creative process or extract proprietary fine-tuned weights. The /object_info endpoint enumerates every loaded model and custom node; the queue endpoint accepts arbitrary workflows from anyone who can reach the port.

How we test

We probe /object_info for the model inventory, /queue for currently-running jobs (often labelled with the operator’s project name), and /history for the last N generations. The history endpoint is particularly attribution-rich: it contains thumbnails of past outputs, which on commercial deployments is the operator’s actual product pipeline. We never enqueue jobs. The read surface alone is sufficient evidence.