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:
- a46ea1ed36388716a10a8a402883bffa91b9f1b538e23160e6ffb152b19eac07
- Size of remote file:
- 3.49 MB
- SHA256:
- 9740a29251f87903bb0b0f5f4b68adc34eeb382603791f4944a29157ae700f81
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