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Jingzao Image Forge v1.10.0

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@papperrollinggery papperrollinggery released this 08 Sep 07:42
· 2 commits to main since this release
93cdf1d

Reference distillation now retains selected hair, makeup, expression, gaze, pose, action, body, wardrobe and photography instead of reducing the reference to color and material. The optional --reference-profile path separates observed evidence, target choices and positive generation prose, with a facet-level audit kept outside the prompt.

  • Incorporates DIR's evidence-to-controls/review method without requiring or modifying the upstream DIR executor.
  • Includes four source-profile branches and text-only refinement examples. Unknown source regions cannot be projected as preserved or adapted facts; target-only original design stays in the base specification.
  • Preserves existing specs and style-capsule behavior; profile and capsule flags are mutually exclusive.
  • Rebuilds the English/Chinese README landing pages, guide, AI-readable llms.txt map and repository discovery metadata, with newly generated introduction artwork and a current public sample. Older graphics remain clearly historical.

Validation: 251 tests, the full local workflow, PR/main/tag CI, independent code and visual review, live README checks, and a fresh-process installed-compiler smoke test. All 164 tracked files and executable modes match the merged release commit and ZIP.

Four female profile-generation calls returned images. Attached-reference trials retained their main traits; the text-only refinement improved finger placement and ribbons but still varied in fringe/material and cropped the hat top. A separate window-side body/hand trial was blocked at input moderation and returned no image. These are different inputs from the v1.9 failures: no moderation root-cause fix, universal acceptance, full-body validation or independent identity guarantee is claimed. The older generic capsule remains draft.

The ZIP contains the jingzao-image-forge/ Skill folder. User source images and source-attached portrait outputs are not distributed. One original text-only sample and the two new introduction layouts are included.