Instructions to use dallinmackay/JWST-Deep-Space-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dallinmackay/JWST-Deep-Space-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dallinmackay/JWST-Deep-Space-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Great for producing depth and starry backgrounds
#3
by williamcstanford - opened
I used this model in an art project (music video) for a course taught at UNC - Chapel Hill. The main reason I used this model was that it was really good at producing scenes with depth and starry backgrounds. Here are the results for anyone interested:
https://www.youtube.com/watch?v=eIVC3ox-Ak0
The starry background kicks in about halfway through.