Instructions to use xuenchang/KOTONE_LORA1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xuenchang/KOTONE_LORA1 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("xuenchang/KOTONE_LORA1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Kotone

- Prompt
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Model description
FLUX.1-dev LoRA for the character Kotone Montagne (琴音·蒙塔涅).
Trigger words
You should use ohwx_kotone. Trained for personal / fan use. Derived from FLUX.1 [dev] (non-commercial base terms apply) to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for xuenchang/KOTONE_LORA1
Base model
black-forest-labs/FLUX.1-dev