Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
science
Instructions to use dreambooth-hackathon/glxy-galaxy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dreambooth-hackathon/glxy-galaxy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dreambooth-hackathon/glxy-galaxy", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of glxy galaxy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#3 opened 8 months ago
by
SFconvertbot
Librarian Bot: Update dataset YAML metadata for model
#2 opened about 3 years ago
by
librarian-bot
Add `scale_factor` to vae config.
#1 opened over 3 years ago
by
valhalla