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:
- ae34c9445630d29b3be099810ac76be720d0d927be2e55d8d6d01cd4d64ff31c
- Size of remote file:
- 3.49 MB
- SHA256:
- 5f7cd623a7f0f90f87da14c7929d0acd05b4c570403a29d5c50cd82f2c66fa5e
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