
# Stellar Diffusion

Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
![Galaxy - Stellar Diffusion](images/o7_11.png) ![Galaxy - Stable Diffusion](images/galaxy_sd.png)
```
prompt = A hubble photograph of a galaxy
seed = 42
size = 512x512
```


Version: 0.2 (Nebula) (Dreambooth / .ckpt formats)

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

![Stellar Diffusion](images/stellar-diffusion-comp-simple.png)

![Stellar Diffusion](images/stellar-diffusion-comp-hard.png)

![Stellar Diffusion](images/stellar-diffusion-comp-nebulas.png)

![Stellar Diffusion](images/stellar-diffusion-comp-styles.png)


---

# 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

---

# Contact me

All feedback, criticisms, complaints, etc to discord preferably.

wang5009@purdue.edu

Discord: bob#1236

### Donate

[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/J3J1E24MB)


{"language": "en", "license": "mit", "tags": ["stable-diffusion", "text-to-image"], "thumbnail": "https://i.ibb.co/6NLyc1P/stellar-diffusion.png"}
diffusers stable-diffusion text-to-image en license:mit endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #stable-diffusion #text-to-image #en #license-mit #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 


# Stellar Diffusion

Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
!Galaxy - Stellar Diffusion !Galaxy - Stable Diffusion



Version: 0.2 (Nebula) (Dreambooth / .ckpt formats)

Stable Diffusion 1.5 finetuned on high quality processed space imagery.

---

# Python Usage



---
# Example Results

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion


---

# 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 URL 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 URL Top 100 Hubble Images
ESA/Hubble

~100 additional images from ESA/Hubble and ~10 images from ESA/Webb

~50 additional images from URL


---

# Version History

V0.2 (Codename: Galaxy) - 264 image dataset

V0.1 - 91 image dataset

---

# Contact me

All feedback, criticisms, complaints, etc to discord preferably.

wang5009@URL

Discord: bob#1236

### Donate

![ko-fi](URL


# Stellar Diffusion

Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
!Galaxy - Stellar Diffusion !Galaxy - Stable Diffusion



Version: 0.2 (Nebula) (Dreambooth / .ckpt formats)

Stable Diffusion 1.5 finetuned on high quality processed space imagery.

--- # Python Usage



--- # Example Results

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion


--- # 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 URL 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 URL Top 100 Hubble Images
ESA/Hubble

~100 additional images from ESA/Hubble and ~10 images from ESA/Webb

~50 additional images from URL


--- # Version History

V0.2 (Codename: Galaxy) - 264 image dataset

V0.1 - 91 image dataset

--- # Contact me

All feedback, criticisms, complaints, etc to discord preferably.

wang5009@URL

Discord: bob#1236 ### Donate

![ko-fi](URL
TAGS
#diffusers #stable-diffusion #text-to-image #en #license-mit #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
 # Stellar Diffusion

Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
!Galaxy - Stellar Diffusion !Galaxy - Stable Diffusion



Version: 0.2 (Nebula) (Dreambooth / .ckpt formats)

Stable Diffusion 1.5 finetuned on high quality processed space imagery.

--- # Python Usage



--- # Example Results

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion


--- # 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 URL 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 URL Top 100 Hubble Images
ESA/Hubble

~100 additional images from ESA/Hubble and ~10 images from ESA/Webb

~50 additional images from URL


--- # Version History

V0.2 (Codename: Galaxy) - 264 image dataset

V0.1 - 91 image dataset

--- # Contact me

All feedback, criticisms, complaints, etc to discord preferably.

wang5009@URL

Discord: bob#1236 ### Donate

![ko-fi](URL
TAGS
#diffusers #stable-diffusion #text-to-image #en #license-mit #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
# Stellar Diffusion

Stellar Diffusion v0.2 vs Base Stable Diffusion v1.5
!Galaxy - Stellar Diffusion !Galaxy - Stable Diffusion



Version: 0.2 (Nebula) (Dreambooth / .ckpt formats)

Stable Diffusion 1.5 finetuned on high quality processed space imagery.

---# Python Usage



---# Example Results

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion

!Stellar Diffusion


---# 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 URL 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 URL Top 100 Hubble Images
ESA/Hubble

~100 additional images from ESA/Hubble and ~10 images from ESA/Webb

~50 additional images from URL


---# Version History

V0.2 (Codename: Galaxy) - 264 image dataset

V0.1 - 91 image dataset

---# Contact me

All feedback, criticisms, complaints, etc to discord preferably.

wang5009@URL

Discord: bob#1236### Donate

![ko-fi](URL