Instructions to use GraydientPlatformAPI/darksun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/darksun with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/darksun", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from GraydientPlatformAPI/darksun: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/GraydientPlatformAPI/darksun/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/darksun/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/darksun/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 4391464d93259279064caf8cc7733c6abe5b7d92a3770d76f705779e422d8cdf
- Size of remote file:
- 492 MB
- SHA256:
- b6fcb62eaf54bb416d591104c0179cdeffe2e87f862bca8ab8c6150aec68b37f
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