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:
- 98c1dad627b3a35306f1f95f5c2dcc0d08000e2c7581598b137479b4119da843
- Size of remote file:
- 3.49 MB
- SHA256:
- c9e072beb07cfe82063956e12a521bf72990212d9b004efa40f63274e1fe3b19
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