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:
- 2f39e01ba159a0b5a5c225473e2ec43c7dab2ddc7ee0202d00db6264dc3c8f64
- Size of remote file:
- 3.49 MB
- SHA256:
- e946ba59be0dcc21fa627fb3af9f2dcd604d9c51886b3837e8b06c35aabca95e
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