Instructions to use HAV0X1014/Z-Image-Turbo-KF-Bat-Eared-Fox-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HAV0X1014/Z-Image-Turbo-KF-Bat-Eared-Fox-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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HAV0X1014/Z-Image-Turbo-KF-Bat-Eared-Fox-LoRA") prompt = "anime image of bat_eared_fox_kemono_friends sitting in a cafe with a steaming cup of coffee on the table in front of her. she is looking to the side at the viewer with a light smile." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K