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
metadata
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

- Prompt
- Kael facing a werewolf. Profile only
Trigger words
You should use Kael to trigger the image generation.
Download model
Weights for this model are available in Safetensors,PyTorch format.
Download them in the Files & versions tab.