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:
- df2e514150d25246eddf2ccda495d72c4ede4f47fe3bf681120a68361860d569
- Size of remote file:
- 3.49 MB
- SHA256:
- 1a32211dc3f639c671a605cf40836225905f3b4bc35318d33af38f6d13203f29
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