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---
language: en
license: mit
thumbnail: https://i.ibb.co/6NLyc1P/stellar-diffusion.png
tags:
- stable-diffusion
- text-to-image
---
# Stellar Diffusion
Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
 
```
prompt = A hubble photograph of a galaxy
seed = 42
size = 512x512
```
Version: 0.2 (Nebula)
Stable Diffusion 1.5 finetuned on high quality processed space imagery.
---
# Python Usage
```py
from diffusers import StableDiffusionPipeline
import torch
model_id = "rexwang8/stellar-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "A hubble photograph of a galaxy"
image = pipe(prompt).images[0]
image.save("hubble_galaxy.png")
```
---
# Example Results
---
# Suggested parameters
512x512
Place subjects and styles at the very front, roll a few times if you don't get the results you want.
Great - Nebulas, Galaxies
Good - Black holes, Pulsars, Comets, Jupiter
Decent - All other solar system planets
---
# Reconized Tags
All reconized tags can be found in the tags.txt file. They are generated from the annotated descriptions of the photograph.
### Partial support for scientific celestial body tags as follows:
NGC - New General Catalogue of Nebulae and Clusters of Stars
M / Messier - A set of 110 astronomical objects catalogued by the French astronomer Charles Messier
UGC – (catalog) Uppsala General Catalogue, a catalog of galaxies
### Partial support for the following classification methods as follows:
By recording instrument/spacecraft (ex. Voyager, Hubble)
By Color
By Celestial Body type
# Dataset and Credits
### Model
Rex Wang (me!)
RunwayML for their SD 1.5
### Compute
Coreweave - 2x A40s (~3 A40 hours)
### Dataset
91 of the 100 images from https://esahubble.org/ Top 100 Hubble Images
ESA/Hubble
~100 additional images from ESA/Hubble and ~10 images from ESA/Webb
~50 additional images from images.nasa.gov
---
# Version History
V0.2 (Codename: Galaxy) - 264 image dataset
V0.1 - 91 image dataset
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