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:
- 487760e294ee17ec45f43a5fd56d0cda3aca3fe83eedd9d1e8c8d7fc3e59cd90
- Size of remote file:
- 3.49 MB
- SHA256:
- ef70956547e7804449c3248002d73576bfdf5fe38a020295a2cdd65497cf63d7
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