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Geosynth
G
Geosynth
Developed by MVRL
A StableDiffusion-based model capable of generating synthetic satellite images from text prompts
Downloads 27
Release Time : 3/20/2024
Model Overview
This model, built on the StableDiffusion architecture, is specifically designed to generate high-quality synthetic satellite images from textual descriptions, suitable for applications in geographic information systems, urban planning, and related fields.
Model Features
Satellite Image Generation
Capable of generating realistic satellite images from text prompts
Based on StableDiffusion
Utilizes stable diffusion technology to ensure the quality and diversity of generated images
High-Resolution Output
Supports image generation at 512x512 resolution
Model Capabilities
Text-to-Image Generation
Satellite Image Synthesis
Geospatial Visualization
Use Cases
Geographic Information Systems
Urban Planning Simulation
Generate satellite images of urban blocks for planning analysis
Example image: 7d3aebe3-a08d-4a31-b5ac-06408e0c835a.jpeg
Infrastructure Planning
Generate satellite images of factories or industrial zones
Example image: be2fb507-af99-4258-a90f-c0df2bbab3ce.jpeg
Education and Research
Educational Material Generation
Generate satellite images of university campuses and other educational facilities for geography courses
Example image: 12bbc23c-850a-484b-99a6-478c19417993.jpeg
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