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:
- 94567a022d6208378e7ba44d69b13b4ecba78a5e3c8c5b663deceaa9c62ac4e7
- Size of remote file:
- 3.49 MB
- SHA256:
- 0666345547c959fa2b8d320349417244cd95702e029c5191f0972d2b44e3418e
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