A newer version of the Gradio SDK is available:
6.2.0
metadata
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 research project.
Model
Uses Stable Diffusion 3.5 Large from Stability AI.
License
MIT License - See the original repository for more details.