Breakthrough Solution for Complex Scene Replacement
While traditional methods require precise keying and matching of light and shadow, FramePainter solves three core problems through video diffusion technology:
- Edge Fusion Problems: AI automatically analyzes the light direction and color temperature of the original image, and newly drawn scene elements will dynamically adjust the color gradient.
- Perspective distortion: Only the main perspective lines need to be labeled when sketching, and the system automatically projects 3D spatial relationships.
- Loss of detail: Diffusion modeling based on video frames preserves microscopic features such as hair strands/transparent materials.
Step-by-step instructions:
- Mark the replacement area (red) and retention area (blue) with different color sketches
- Enable "Edge Enhancement" mode for border areas that require fine processing
- AI modification intensity is controlled via a slider bar, with gradual adjustments recommended starting at 50%
Typical application scenarios:
- Keep the subject projection natural when replacing the background of an e-commerce product
- Modification of movie and TV bloopers to match the graininess of the original image
- Rapid iteration of game scenario concept design
When you encounter difficulties, you can try: first process the low-resolution version to confirm the effect, and then output the finished high-definition product; or gradually replace the complex scene in blocks.
This answer comes from the articleFramePainter: AI-powered doodle-style image editing toolThe
May not be reproduced without permission:AI productivity tools " How to overcome complex scene replacement, a technical difficulty in traditional image editing?
