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:
- c4596b71b40b87f3f3d962c39ef1024e9c7ad5e545390324c0bf1f55c6c07e5e
- Size of remote file:
- 625 Bytes
- SHA256:
- aa49c0d2a91de914a8dc2aa15ea818a53e9e202cd2e7309d4ce48aa5ae40c279
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