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", torch_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:
- 10465070d4f06c777c87d78bd47c41e85f2984f8847365522c783f1bc123bd25
- Size of remote file:
- 755 Bytes
- SHA256:
- fdd524218f0554acb77cdecf36807c01f4d1ad2574fd6345d0bdef48873c3d14
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