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:
- 4a7139bd49967aeb7fd58b9eddfe85cae0a10ee49105fb8deb75899e99a41e2e
- Size of remote file:
- 3.49 MB
- SHA256:
- d0105b301497bd6baaf1a9d7496e68cb29f2d870dcd537dfc15c88bd1d41f497
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