Instructions to use chamuditha4/bean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chamuditha4/bean with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chamuditha4/bean") prompt = "BINTOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8fb5ca42650047c8bbf33204bc91fb2b795a5207c9f33789dfc1a48aadf0aa25
- Size of remote file:
- 172 MB
- SHA256:
- e14d595417054f63a1a31d57096098a53322d02dec24ff09b28c126bbdae4831
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