alaradirik/sd-interior-design
Layout preserving realistic interior design using text and image prompts
Combines Realistic Vision V3.0 inpainting with segmentation and MLSD ControlNets to preserve room layouts while applying design modifications. Packaged as a Cog-based Docker API with configurable inference parameters including prompt strength, guidance scale, and seed control for reproducible results. Supports both text prompts and negative prompts to steer generation away from unwanted elements while maintaining spatial structure.
102 stars. No commits in the last 6 months.
Stars
102
Forks
32
Language
Python
License
MIT
Category
Last pushed
Nov 29, 2024
Commits (30d)
0
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