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:
- 293091aaa60b4ff7e0bcaa323309b764dd518464d95ecd82e17ddd439968a939
- Size of remote file:
- 3.49 MB
- SHA256:
- 0d475032be8285720a05a00ff79b9e5410ae88b43a0d3e7b77514366af3f75fe
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