Instructions to use sd-concepts-library/buhu-art-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-concepts-library/buhu-art-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("sd-concepts-library/buhu-art-style") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 00b6f72dd26faf4feaf4eed11e6066d9f6f8113d6923e48221269677fb3e4b95
- Size of remote file:
- 1.02 MB
- SHA256:
- abaf4ddd16a32b4dabda837a7ab08678dde60f5de96b7ea3476392024bc85486
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