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:
- a8f4eebe9fa4ff1590b302316d3d7b1ce5c995782ff26b735a860fe7c8a74fd6
- Size of remote file:
- 579 Bytes
- SHA256:
- 8be2aee82652a5b218287fe39ec9a8b408542327124757b9c08d04fb9879e738
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