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", 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:
- 2873047bc3cd48d5a8454650d64ff93d88fc3071ed363a45f575d125b6592e87
- Size of remote file:
- 3.42 MB
- SHA256:
- c4357a54f28600cba0da6aa842c11b7429761d87fef20380998b9f2dda0f26e4
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