Instructions to use lora-library/egbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/egbert with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/egbert") prompt = "egbert" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b61b50671ab446e383154f50d8a71c7567baed382ed7d8ed08ae00ad4e1c1479
- Size of remote file:
- 3.42 MB
- SHA256:
- d03f02144160fe9324c82e3fc3d6cf89c4dbc7eba6dc5701b8ce2feb5be712e4
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