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Hubble Diffusion 2

Developed by Supermaxman
A text-to-image generation model fine-tuned on Stable Diffusion 2.1, specifically designed for generating high-quality Hubble deep space images
Downloads 18
Release Time : 2/25/2023

Model Overview

This model can generate high-quality Hubble deep space images based on detailed text prompts. It is fine-tuned on Stable Diffusion 2.1 using the ESA Hubble deep space images and descriptions dataset.

Model Features

High-Quality Astronomical Image Generation
Optimized specifically for astronomical images, capable of generating high-quality deep space images similar to those captured by the Hubble Telescope
Supports High-Resolution Output
Supports high-resolution image generation up to 2560x1536 through MultiDiffusion technology
Professional Astronomical Description Understanding
Specially optimized for astronomical terminology and descriptions, accurately understanding and generating relevant image content

Model Capabilities

Text-to-Image Generation
High-Resolution Image Generation
Astronomical Scene Generation
Galaxy/Nebula/Star Image Generation

Use Cases

Astronomy Education
Star Life Cycle Visualization
Generate images of various stages of a star's life from birth to death
Examples show different forms of newborn and aging stars
Astronomical Phenomenon Simulation
Simulate astronomical phenomena such as galaxy collisions and supernova explosions
Examples show the distorted spiral structures during the collision of two galaxies
Scientific Research
Astronomy Research Assistance
Provide visual references for astronomical research
Examples show detailed structures of star-forming regions within star clusters
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