Instructions to use lora-library/bfun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/bfun 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/bfun") prompt = "beansfun" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cbadbcf72b02d3c38f718dd7b9dea3f70cf89c5efb00a93074a1398890e3ea9a
- Size of remote file:
- 3.49 MB
- SHA256:
- 7cd04e759fafd48f23d847d9b1144129a2d89c989262557a615f2c4ec1213bd9
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