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 Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: Kael facing a werewolf. Profile only | |
| output: | |
| url: images/kael.webp | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: Kael | |
| license: other | |
| license_name: flux-1-dev-non-commercial-license | |
| license_link: >- | |
| https://raw.githubusercontent.com/black-forest-labs/flux/refs/heads/main/model_licenses/LICENSE-FLUX1-dev | |
| # kael | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `Kael` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors,PyTorch format. | |
| [Download](/exodeus/kael/tree/main) them in the Files & versions tab. | |