bracket

Use when the user wants to add support for a new diffusion model or LLM training script in Bracket. Covers the Trainer protocol, search-space declaration, curated configs, presets, and tests. Lists every currently-supported preset so you know whether the model is already wired in.

Use when the user wants to create a dataset.toml for a Bracket / musubi-tuner / sd-scripts training session, or asks "how do I configure my dataset", "what does the toml file look like", "I have a folder of images, what's next". Walks through asking only the questions the toml format actually needs (paths, resolution, repeats), validates the result, and writes the file.

Use when the user asks to install, launch, or first-run Bracket; or asks "how do I get started with Bracket". Walks through install.sh / install.ps1, launches the unified server on port 8000, and verifies the React UI loads.

Use when the user wants to run a Bracket orchestration session — picking a trainer, dataset, budget, then kicking off the search. Covers both UI-driven and CLI-driven flows, including the interactive path where you collect missing inputs (paths, prompts) from the user one question at a time. Use when they say things like "run a Bracket sweep", "fine-tune Z-Image with Bracket", "search for the best LoRA config".

Use when a Bracket run is failing, hanging, producing no scores, only running for a handful of steps, or the dashboard is showing weird state. Walks through ledger inspection, log triage, the LM Studio VRAM-leak failure mode, and the most common other failure classes.