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https://github.com/wiltodelta/remove-ai-watermarks.git
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Victor Kuznetsov
b1189549b8
Overhaul the diffusion-removal surface around a single robust default and a complete, consistent CLI. Pipeline + strength: - controlnet is now the DEFAULT pipeline (CLI --pipeline + both engine ctors). With the certified higher strength it clears both photoreal and flat-graphic content, whereas plain SDXL left SynthID on flat graphics. - Rename the plain-SDXL profile default -> sdxl; "default" stays as a back-compat alias (normalize_profile + a click callback that warns). - Unify the strength ladder: resolve_strength applies ONE vendor-adaptive ladder (the certified controlnet floors OpenAI 0.20 / Google 0.30 / unknown 0.30) to both pipelines. sdxl is the weaker remover on its own hard case (flat fills), so the certified floor is the right floor for it too. CLI completeness: - Add --model (HF model id) to invisible + batch (was only on all) and --guidance-scale (CFG) to all three diffusion commands; both were library knobs the CLI did not expose. - Flip --adaptive-polish to ON by default (it self-gates to a no-op where there is no detail deficit, so default-on is safe). - Share --pipeline / --strength / --model / --guidance-scale as single decorators so invisible/all/batch keep an identical surface; the --strength help is derived from the strength constants (strength_default_help) so it can never drift from the ladder. Removals: - Delete the auto_config content-detection planner + its YuNet/DBNet assets (~2.6 MB): with controlnet always the pipeline and the polish self-gating, the face/text/edge detection no longer changed behavior. --auto is now a deprecated no-op that only warns (the polish it enabled is the default). Docs (README, CLAUDE.md, docs/synthid.md) updated throughout; added an InvisibleEngine Python API example. Tests cover the alias warnings, the polish default, and the --model/--guidance-scale wiring. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>