Files
DemonGatanjieu-Anomalous_Mo…/docs/architecture
DemonGatanjieuandClaude Opus 5.5 20424e4428 Add a Recent shelf to the Material Library: one star keeps a result
Saving parameters asked people to decide, then save, while busy
generating. The library's first category, Recent, now lists the newest
output PNGs that carry their workflow, each with the start of its positive
prompt, the main model and steps / CFG / sampler / size (GET
/anomalous/recent_generations, read from PNG text chunks and cached). A star
keeps one as a whole-workflow material through the existing
save_image_material route, named after the prompt's first tags; a kept
image shows a filled star (matched by the image's SHA256, as the save
route's duplicate check does) and opens its material. The picture opens the
image workbench for keeping single nodes; the search box searches Recent
too. The empty-library guide points here.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 16:53:13 +08:00
..
2026-10-02 16:32:33 +08:00
2026-10-02 16:32:33 +08:00

Architecture Topic Guide

Start with the repository-root ARCHITECTURE.md, then open only the topic needed for the current task.

  • backend.md: Python routes, filesystem safety, persistence, scan state, model sidecars, and backend performance.
  • frontend.md: extension bootstrap, UI ownership, localization, media lifecycle, panel state, and graph mutations.
  • recipes.md: Workflow Recipes, packages, galleries, Parameter Notebooks, prompt roles, and recipe-to-model transitions.
  • material-library.md: generated-image snapshots, material assets, node-block reuse, and Model Check handoff.
  • recipe-model-lifecycle.md: authoritative model fields, Hash synchronization, local matching, partial append, and note privacy.
  • model-resolution.md: model provenance, Model Check, hash injection, model scanning, and recovery policy.
  • ../decisions/README.md: concise records of product and architectural decisions that still explain current behavior.

These documents describe current contracts rather than implementation history. For exact changes, use Git history. For user-visible releases, use CHANGELOG.md. For recurring implementation traps, use .agents/logs/ai_lessons.md.