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:
- 0b1d67e9f9ea719e792d5dd12852b1d791093b04e0657b7f5b386cc919fc77bb
- Size of remote file:
- 167 MB
- SHA256:
- 1dc9599f4122e16af7b67397c4ed819448ff8c1f4f4db59fd7ca2a29aa0b34c9
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