Instructions to use exodeus/kael with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use exodeus/kael 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("exodeus/kael") prompt = "Kael facing a werewolf. Profile only" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9fae4c8d43d2888c581a610313459b5856ed389589ae3c04ba6dafe532f9b1a4
- Size of remote file:
- 173 MB
- SHA256:
- 474f35fb6715f6a5e82020f23fc456eba29e15b9ea2c1f430968e750f784bb5a
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