Instructions to use bunnycore/Z-Art-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bunnycore/Z-Art-2.1 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("bunnycore/Z-Art-2.1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Z-Image-Art

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This is trained on more than 70 images, covering anime, digital art, realistic styles, and various anime characters.
I recommend a strength of 0.5 to 0.6. Going higher can cause anatomical problems.
Download model
Download them in the Files & versions tab.
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Model tree for bunnycore/Z-Art-2.1
Base model
Tongyi-MAI/Z-Image