CalvinBackup/remove-ai-watermarks
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chore: mark controlnet pipeline + GFPGAN restore-faces as experimental

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Both content-preservation features are now flagged EXPERIMENTAL and opt-in.
--pipeline controlnet was already opt-in (default=default); --restore-faces
flips from on-by-default to OFF by default, matching the repo's prior pattern
for experimental preservation passes (the removed protect_text/protect_faces).

- cli.py: --restore-faces/--no-restore-faces default False; EXPERIMENTAL in the
  --restore-faces / --controlnet-scale / --pipeline help; batch default False.
- invisible_engine.py: remove_watermark restore_faces default False + docstring.
- CLAUDE.md / README.md / docs/synthid.md: label both experimental/opt-in.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Victor Kuznetsov
2026-06-03 16:59:28 -07:00
co-authored by Claude Opus 4.8
parent 411ef16ec3
commit 5ec8269949
5 changed files with 31 additions and 25 deletions
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src/remove_ai_watermarks/cli.py
+10 -9
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@@ -143,7 +143,8 @@ _controlnet_scale_option = click.option(
"--controlnet-scale",
type=float,
default=1.0,
help="ControlNet conditioning scale (structure/text preservation strength), controlnet pipeline only.",
help="ControlNet conditioning scale (structure/text preservation strength), controlnet pipeline "
"only (EXPERIMENTAL).",
)
@@ -151,10 +152,10 @@ def _restore_faces_options(f: Any) -> Any:
"""Attach the shared GFPGAN face-restoration flags to an invisible-pipeline command."""
restore_flag = click.option(
"--restore-faces/--no-restore-faces",
default=True,
help="Restore face identity with a GFPGAN post-pass when faces are present "
"(needs the 'restore' extra); on by default, auto-skips when no face is detected "
"or the extra is absent.",
default=False,
help="EXPERIMENTAL, opt-in. Restore face identity with a GFPGAN post-pass when "
"faces are present (needs the 'restore' extra); off by default, auto-skips when no "
"face is detected or the extra is absent.",
)
weight_flag = click.option(
"--restore-faces-weight",
@@ -471,7 +472,7 @@ def cmd_erase(
type=click.Choice(["default", "controlnet"]),
default="default",
help="Pipeline profile (default=SDXL img2img; controlnet=SDXL + canny ControlNet that preserves "
"text/faces via edge conditioning while removing SynthID).",
"text/faces via edge conditioning while removing SynthID, EXPERIMENTAL).",
)
@click.option(
"--device",
@@ -715,7 +716,7 @@ def cmd_identify(ctx: click.Context, source: Path, no_visible: bool, as_json: bo
type=click.Choice(["default", "controlnet"]),
default="default",
help="Pipeline profile (default=SDXL img2img; controlnet=SDXL + canny ControlNet that preserves "
"text/faces via edge conditioning while removing SynthID).",
"text/faces via edge conditioning while removing SynthID, EXPERIMENTAL).",
)
@click.option("--model", type=str, default=None, help="HuggingFace model ID for invisible removal.")
@click.option(
@@ -907,7 +908,7 @@ def _process_batch_image(
hf_token: str | None,
humanize: float,
max_resolution: int = 0,
restore_faces: bool = True,
restore_faces: bool = False,
restore_faces_weight: float = 0.5,
) -> None:
"""Process a single image for batch mode.
@@ -1012,7 +1013,7 @@ def _process_batch_image(
type=click.Choice(["default", "controlnet"]),
default="default",
help="Pipeline profile (default=SDXL img2img; controlnet=SDXL + canny ControlNet that preserves "
"text/faces via edge conditioning while removing SynthID).",
"text/faces via edge conditioning while removing SynthID, EXPERIMENTAL).",
)
@click.option(
"--device",