J

JWST Deep Space Diffusion

Developed by dallinmackay
An image generation model fine-tuned based on Stable Diffusion v1.5, specifically designed for generating deep space images in the style of the James Webb Space Telescope.
Downloads 179
Release Time : 4/25/2025

Model Overview

This model is trained using Dreambooth technology and can generate deep space images similar to those captured by the James Webb Space Telescope based on text prompts. Use the 'JWST' tag in the prompt to invoke this style.

Model Features

JWST-style Image Generation
Specifically mimics the style of deep space images captured by the James Webb Space Telescope.
Dreambooth Fine-tuning
Uses Dreambooth technology to fine-tune Stable Diffusion v1.5.
Simple Trigger Word
Simply include the 'JWST' tag in the prompt to invoke the special style.

Model Capabilities

Text-to-image generation
Stylized image generation
Astronomical image generation

Use Cases

Creative Arts
Astronomical Art Creation
Generate deep space art images resembling those captured by JWST.
High-quality astronomical-style images.
Education
Astronomy Teaching Aid
Generate example images for astronomy education.
Realistic deep space celestial images.
Featured Recommended AI Models
ยฉ 2025AIbase