Geosynth Canny
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Geosynth Canny
Developed by MVRL
A model based on the ControlNet architecture that generates synthetic satellite images from Canny edge maps.
Downloads 39
Release Time : 3/17/2024
Model Overview
This model uses Canny edge detection maps as conditional input to generate high-quality synthetic satellite images through stable diffusion technology, suitable for urban planning and geographic information systems.
Model Features
Canny edge detection control
Precisely controls the edge structure of generated images, ensuring the satellite images conform to the layout of the input edge map.
High-quality satellite image generation
Based on the Stable Diffusion 2.1 base model, it can generate high-resolution, realistic satellite images.
Open source availability
The model is licensed under Apache 2.0 and can be freely used for research and commercial purposes.
Model Capabilities
Image-to-image conversion
Satellite image synthesis
Edge detection image generation
Use Cases
Geographic Information Systems
Urban block landscape simulation
Generates simulated urban satellite images from Canny edge maps for urban planning pre-research.
Generates realistic urban block satellite images
Education and Research
Geography teaching demonstration
Quickly generates satellite images with specific terrain features for teaching demonstrations.
Generates educational satellite images
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