Instructions to use tica6/Z-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tica6/Z-Image 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("tica6/Z-Image") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Chloe

- Prompt
- -
Trigger words
You should use Chloe to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for tica6/Z-Image
Base model
Tongyi-MAI/Z-Image-Turbo