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
Download text_encoder/config.json from Nbardy/holycene-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 612 Bytes
-
https://huggingface.co/Nbardy/holycene-diffusers/resolve/main/text_encoder/config.json
- Command line
-
hf download hf://Nbardy/holycene-diffusers/text_encoder/config.json
-
curl -L -o config.json https://huggingface.co/Nbardy/holycene-diffusers/resolve/main/text_encoder/config.json
612 Bytes
- Xet hash:
- 1a096ecf268db213485b2e47fee1039b14c968df88219b53c045f6c9b6a2334f
- Size of remote file:
- 612 Bytes
- SHA256:
- b4df1868f9033f326e4b3bca7f3dd7e8676f59b4c48caa4b05893e87cf5f5689
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