Instructions to use strangerzonehf/Anime-Z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Anime-Z 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("strangerzonehf/Anime-Z") prompt = "Anime-Z, An animated animated image of a girl with long red hair and yellow eyes. She is wearing a light green long-sleeved button-down shirt with a black tie and black pants. Her hair is tied back in a ponytail. The sky is a light blue with a few white fluffy clouds. She has a smile on her face. Her left hand is raised in the air." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f596ea48d3304e5d449929a1b056e6f5141cffb867e499b0d6505832d3b073bb
- Size of remote file:
- 766 kB
- SHA256:
- aa7bb5973842f3a0dde5cdf34a04fab69ac950b540c1cfaa5107bd5ad52c2be5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.