Add legal disclaimer, fix attribution, expand credits

- Add disclaimer section to README (research/education purposes)
- Remove incorrect Apache-2.0 license claim from ctrlregen docstrings
- Expand Credits with CtrlRegen and NeuralBleach attribution
- Add license info (MIT) for GeminiWatermarkTool and NeuralBleach

README.md

@@ -139,8 +139,22 @@ if has_ai_metadata(Path("image.png")):
 
 ## Credits
 
-- [noai-watermark](https://github.com/mertizci/noai-watermark) by mertizci — invisible watermark removal
-- [GeminiWatermarkTool](https://github.com/allenk/GeminiWatermarkTool) by Allen Kuo — visible watermark removal algorithm
+- [noai-watermark](https://github.com/mertizci/noai-watermark) by mertizci — invisible watermark removal engine
+- [GeminiWatermarkTool](https://github.com/allenk/GeminiWatermarkTool) by Allen Kuo (MIT) — visible watermark removal algorithm
+- [CtrlRegen](https://github.com/yepengliu/CtrlRegen) by Liu et al. (ICLR 2025) — controllable regeneration pipeline
+- [NeuralBleach](https://github.com/...) (MIT) — analog humanizer technique
+
+## ⚠️ Disclaimer
+
+This tool is provided for **educational and research purposes only**.
+
+Removing AI watermarks to misrepresent AI-generated content as human-created
+may violate applicable laws, including the U.S. Digital Millennium Copyright Act
+(DMCA) and the COPIED Act. Users are solely responsible for ensuring their use
+complies with all applicable laws and platform terms of service.
+
+The authors do not condone the use of this tool for deception, fraud,
+or any activity that violates applicable laws or regulations.
 
 ## License
 

src/remove_ai_watermarks/noai/ctrlregen/__init__.py

@@ -8,7 +8,7 @@ and a DINOv2-based IP Adapter for semantic guidance to regenerate
 watermarked images from partially noised latents.
 
 Attribution:
-    Based on https://github.com/yepengliu/CtrlRegen (Apache-2.0).
+    Based on https://github.com/yepengliu/CtrlRegen .
 """
 
 from __future__ import annotations

src/remove_ai_watermarks/noai/ctrlregen/color.py

@@ -5,7 +5,7 @@ color shifts.  This module uses histogram-based color transfer to
 align the regenerated image's color distribution back to the original.
 
 Attribution:
-    Adapted from https://github.com/yepengliu/CtrlRegen (Apache-2.0).
+    Adapted from https://github.com/yepengliu/CtrlRegen .
 """
 
 from __future__ import annotations

src/remove_ai_watermarks/noai/ctrlregen/engine.py

@@ -5,7 +5,7 @@ canny edges) and a DINOv2-based IP Adapter (semantic control), then
 runs controllable regeneration with optional color matching.
 
 Attribution:
-    Based on https://github.com/yepengliu/CtrlRegen (Apache-2.0).
+    Based on https://github.com/yepengliu/CtrlRegen .
 """
 
 from __future__ import annotations

src/remove_ai_watermarks/noai/ctrlregen/ip_adapter.py

@@ -6,7 +6,7 @@ semantic features.  This mixin provides ``load_ctrlregen_ip_adapter``
 which handles the custom weight format and encoder swap.
 
 Attribution:
-    Adapted from https://github.com/yepengliu/CtrlRegen (Apache-2.0).
+    Adapted from https://github.com/yepengliu/CtrlRegen .
 """
 
 from __future__ import annotations

src/remove_ai_watermarks/noai/ctrlregen/pipeline.py

@@ -12,7 +12,7 @@ default implementation then uses ``hidden_states[-2]`` from DINOv2,
 which is exactly what the projection was trained on.
 
 Attribution:
-    Adapted from https://github.com/yepengliu/CtrlRegen (Apache-2.0).
+    Adapted from https://github.com/yepengliu/CtrlRegen .
 """
 
 from __future__ import annotations