Instructions to use busetolunay/kate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use busetolunay/kate 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("busetolunay/kate") prompt = "[trigger] full body shot , [trigger] is playing tennis,wearing a white tennis skirt, a baby blue sports bra , white sneakers." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
kate_lora
Model trained with AI Toolkit by Ostris

- Prompt
- [trigger] full body shot , [trigger] is playing tennis,wearing a white tennis skirt, a baby blue sports bra , white sneakers.

- Prompt
- [trigger] close-up [trigger] crying,sitting in a chair, wearing jeans and a shirt

- Prompt
- [trigger] full body shot, [trigger] running, side profile

- Prompt
- [trigger] medium close-up shot, [trigger] smiling,painting and holding a paint brush,wearing a long dress
Trigger words
You should use kat0 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for busetolunay/kate
Base model
black-forest-labs/FLUX.1-dev