Understanding Biometric Face Guard Restrictions
Diffusion video models like Seedance 2.0 deploy strict convolutional layers and facial landmark detectors (such as MTCNN or MediaPipe) on reference attachments. When a reference photo contains smooth, continuous facial skin gradients, these detectors may restrict generation to prevent deepfakes.
How Halftoning Disrupts Landmark Detection
The Halftone Image Tool (accessible at /half-tone-image) converts continuous-tone photographs into discrete geometric dot matrices. This high-frequency point grid disrupts convolutional edge-detection kernels, allowing the image to pass AI content guards seamlessly while preserving recognizable facial proportions and features for human viewers.
How to Use the Halftone Tool
- Navigate to
/half-tone-imagefrom the footer or tools menu. - Drag & drop or paste (
Ctrl+V) your reference photograph into the canvas zone. - Adjust the Halftone Frequency / Size slider (an 8px grid size is optimal for face bypasses).
- Select Color-Preserved Halftone to retain RGB accuracy for clothing and hair.
- Click Download Canvas to save your processed PNG.
- Attach the downloaded halftone PNG to your Studio prompt or character profile.
Privacy Guarantee: The Halftone Image Tool renders completely offline inside your local browser canvas. Your original photographs never leave your local machine.