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:
- 3a0b299135867eb5483d01272f466a203e626e91d580c0fc5ca8dc850bc16929
- Size of remote file:
- 3.49 MB
- SHA256:
- 4f28bd9d928db6a3af7187cf419cbede9299cfd00fd472ea7b2c4ed7fad083b3
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