---
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.