Instructions to use AlexanderLab/oscl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/oscl 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/oscl") prompt = "OSCL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- da20c0dc803cd13e1aa8308733e74fbd146ccfdda0558edfe273fdda939c524e
- Size of remote file:
- 344 MB
- SHA256:
- 8fb8512ac0960852ca252189c05151ca3f9a568071a9bf02cab1fa9186af4540
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