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---
title: SD3.5 Watermark Remover
emoji: 🎨
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: "4.44.1"
app_file: app.py
pinned: false
license: mit
hardware: zero-a100
---
# 🎨 SD3.5 Watermark Remover
Remove watermarks from images using **Stable Diffusion 3.5 Large** regeneration, powered by ZeroGPU.
## How It Works
This tool uses SD3.5's img2img pipeline to regenerate images while preserving their content. By applying controlled denoising, watermarks are effectively removed without manual editing.
### Key Parameters
- **Strength (0.1-0.6)**: Controls how much the image changes
- Lower values (0.2-0.3): Best for subtle watermarks, preserves most detail
- Higher values (0.4-0.5): Better for prominent watermarks
- **Inference Steps**: More steps = higher quality, slower processing
## Based On
This Space is based on the [WatermarkAttacker](https://github.com/XuandongZhao/WatermarkAttacker) research project.
## Model
Uses [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) from Stability AI.
## License
MIT License - See the original repository for more details.
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