Instructions to use pmike7667/koo_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pmike7667/koo_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pmike7667/koo_lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
koo_lora

- Prompt
- -
Model description
character LORA
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for pmike7667/koo_lora
Base model
Tongyi-MAI/Z-Image