Instructions to use AlexanderLab/OSKLSH1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/OSKLSH1 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/OSKLSH1") prompt = "OSKLSH1" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 93f735c7d1c21cc4c502475fb607fa880343fb9cb04a067b7d8d25b531a95ba6
- Size of remote file:
- 344 MB
- SHA256:
- e3f6f8daf1bec4012c50ca7186e21601409f192d82e48dd2d74d925d5861f591
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