去除AI水印工具

Remove-AI-Watermarks

Remove visible and invisible AI watermarks from images generated by Google Gemini (Nano Banana), ChatGPT / DALL-E, Stable Diffusion, Adobe Firefly, Midjourney, and other AI models.

Strips SynthID, C2PA Content Credentials, EXIF/XMP "Made with AI" labels, and visible sparkle overlays — all in one command.

## Try it online: raiw.cc No Python, no GPU, no setup. Visible-watermark and metadata removal are free. Invisible-watermark removal (SynthID / SDXL regeneration) normally needs a local GPU and ~2 GB of models. On raiw.cc it runs on cloud GPUs in one click for a small per-image fee.

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Intended for lawful use only. Publishing and running this software is lawful; responsibility for any downstream use, and for compliance with local law, rests entirely with the user. Some jurisdictions restrict removing an AI label as such (see Legal). The authors do not condone use for deception, fraud, or any unlawful activity.

Features

• Visible watermark removal — a registry of known marks in their usual places: the Gemini / Nano Banana sparkle, the Doubao "豆包AI生成" text strip, the Jimeng "★ 即梦AI" wordmark, and the Samsung Galaxy AI "✦ Contenuti generati dall'AI" strip (bottom-left, locale-specific). Each is removed by reverse-alpha blending against a captured alpha map (original = (wm − α·logo)/(1−α)), recovering the true pixels rather than inpainting a guess. The Gemini sparkle recovers cleanly on its own on bright backgrounds; it adapts the alpha to each image's sparkle opacity, so a more-opaque-than-captured sparkle is still fully removed (and on a dark background, where the fixed alpha would over-subtract and leave a dark spot, it automatically inpaints the small sparkle footprint instead); the Doubao, Jimeng, and Samsung text marks re-rasterize slightly per image, so a thin residual inpaint over the glyph footprint clears the leftover edges (the alpha maps are reproducibly rebuilt from controlled captures by scripts/visible_alpha_solve.py). Fast, offline, no GPU. visible --mark auto finds and removes the strongest detected mark. (For arbitrary logos/objects, see erase.)
• Universal region eraser (erase) — remove any logo / watermark / object inside boxes you specify, regardless of position or colour. Default cv2 inpainting (CPU, instant); optional big-LaMa via onnxruntime (lama extra) for higher quality
• Invisible watermark removal — SynthID, StableSignature, TreeRing via diffusion-based regeneration (needs a local GPU, or run it with no setup on raiw.cc)
• AI metadata stripping — EXIF, PNG text chunks, C2PA provenance manifests (PNG / JPEG / AVIF / HEIF / JPEG-XL, MP4 / MOV / M4V / M4A at the container level, and WebM / MP3 / WAV / FLAC / OGG losslessly via ffmpeg), XMP DigitalSourceType
• "Made with AI" label removal — removes the AI-disclosure metadata that platforms read to apply automatic labels (useful for clearing a false-positive label from a human-edited photograph)
• Analog Humanizer — optional film grain and chromatic aberration post-processing
• Text and face preservation (default) — the default pipeline is a canny ControlNet that keeps text and face structure sharp through the removal pass (without copying original pixels, so SynthID is still removed). Use --pipeline sdxl for plain SDXL img2img (lighter, no extra model download) on inputs without text or faces. Canny preserves face structure, not identity (the regenerated face drifts in likeness). The library does not ship a face-restore extra: every approach evaluated (GFPGAN-on-cleaned, PhotoMaker-V2, InstantID txt2img, InstantID img2img-on-cleaned) regenerated the face via SDXL and made the output look more AI-generated than the cleaned image. The cleaned controlnet output is the least-AI face state achievable without re-introducing SynthID.
• Batch processing — process entire directories
• Detection — three-stage NCC watermark detection with confidence scoring
• Provenance detection (identify) — aggregate C2PA issuer, the C2PA soft-binding forensic-watermark vendor (Adobe TrustMark, Digimarc, Imatag, ...), IPTC "Made with AI" plus the IPTC 2025.1 AISystemUsed field, embedded SD/ComfyUI params, EXIF/XMP generator tags, the xAI/Grok EXIF signature, the China TC260 AIGC label (XMP, PNG chunk, or EXIF), the HuggingFace hf-job-id job marker, the SynthID metadata proxy, the visible marks (Gemini sparkle plus the Doubao "豆包AI生成" / Jimeng "即梦AI" / Samsung Galaxy AI "Contenuti generati dall'AI" text marks), the open SD/SDXL/FLUX invisible watermark, and (with the trustmark extra) the open Adobe TrustMark watermark into one origin-platform + watermark-inventory verdict (--json for machine output)