humanize-image-generation
Humanize Image Generation
Treat the model as one production tool inside a directed visual process. A human-made feel comes from specific intent, coherent capture or craft logic, selection, and repair—not from adding random defects or merely saying “not AI.”
Use the client's raster image generation or editing capability and follow its input-image, output-path, transparency, provenance, and iteration rules. Load a dedicated image-generation skill when available. Prefer native SVG, vector, 3D, or layout tools when the requested asset needs exact editable geometry, typography, or a reusable system.
Resolve every bundled relative path from the directory containing this SKILL.md; never interpret references/... or scripts/... from the user's project directory. The bundled scripts/compare_edit_regions.py requires Python 3.11+ and Pillow; check availability before using it and do not claim the comparison ran when the dependency is unavailable.