Instructions to use Hugol33/epgaxy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hugol33/epgaxy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hugol33/epgaxy", 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
- Xet hash:
- ce7fc75a2ebc1bc9daac9b36dccc0efc6c8fd9c9b1fdf92642255d945e53e1e2
- Size of remote file:
- 246 MB
- SHA256:
- d138e37aabd13ab97d40ef905261a9f882319114c5527edd75f08a6cd0af2d58
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