Instructions to use Nbardy/holycene-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nbardy/holycene-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nbardy/holycene-diffusers", 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
- Xet hash:
- ce7ffd7e273e1599ceb67f89c1958754079e3bbd67b36e1836291e04644581b2
- Size of remote file:
- 492 MB
- SHA256:
- b9226f18dc7c0e91a813ccccc512c34ac8faacedaa80feb056da012a761e6d76
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