2 Commits

Author	SHA1	Message	Date
Ethanfel	959ec70065	Redesign judge output for calibration: per-axis {score, ref, gen}, drop local fix suggestions ... The local VLM now only observes and scores; correction is left to the stronger external agent. Each axis reports the target value (ref), the current value (gen) and the closeness (score) — the target/current/distance an agent needs to calibrate. Expanded to ~20 granular axes (identity/body/wardrobe/action/affect/ camera/render) so the action cluster stays discriminative for explicit content. swap_eval now inverts ref/gen of the swapped pass; diff summary sorts worst-first; default max_new_tokens 1024. Docs aligned. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-06-26 22:52:40 +02:00
Ethanfel	95198a15b5	Initial commit: VLM-as-judge prompt calibration loop ... Qwen3-VL image-similarity judge node, external-prompt receptor node, agent_bridge CLI, example SDXL workflow, and methodology/agent-loop/ calibration-policy docs. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-06-26 22:15:56 +02:00