Instructions to use AlexanderLab/OSKLLBAGTHREE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/OSKLLBAGTHREE 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/OSKLLBAGTHREE") prompt = "OSKLLBAGTHREE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 94866569d73437eefde2304c03541602b1d46c51ea65ee75fd0f86832c4b02fd
- Size of remote file:
- 687 MB
- SHA256:
- 3fa48fff3c6a1f54504dc708ba0702f2cfc1dc3f68cee6a949492c987bd28c1d
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