Instructions to use lora-library/simbatheog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/simbatheog 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/simbatheog") prompt = "simbatheog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b9b6d711c253c21f297ed2764951301825ee5c30c21b1de2d227efbbc1ee34f4
- Size of remote file:
- 3.49 MB
- SHA256:
- a5b0f117ecbccb1c668f39f2d4aa565128bc2bcf9ed338537f36da2b1120bb7b
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