Instructions to use AlexanderLab/OSKLBG2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/OSKLBG2 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("AlexanderLab/OSKLBG2") prompt = "OSKLBG2" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d8001c8e1fbc29d7271b85fd982521a91347c07f35cde7f3138aeaaa92bef0e2
- Size of remote file:
- 344 MB
- SHA256:
- d6d64349102371dfaa78b6557adbb5109850b5e59a12030268838747e54f0b63
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