Instructions to use lora-library/egbert-2x-source-bilinear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/egbert-2x-source-bilinear 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-2x-source-bilinear") prompt = "egbert" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ef53c4eae5cbcee819040e6aabd2cc01e7a7f3281c31ee78e65131c9db3244d4
- Size of remote file:
- 3.42 MB
- SHA256:
- 32ed507bf996be97254729ce52954a46aec0d28ab9d95c7381275b1214877b29
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