Instructions to use thatboymentor/Zimageturbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thatboymentor/Zimageturbo 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thatboymentor/Zimageturbo") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Realistic Loras Zimageturbo

- Prompt
- -
Model description
Lora Stack V4 is needed for these lore data to work well together. Realistic V5 snapshot - strength 0.6 - 0.7 zit_fdpo_v1 - strength 0.8-1 Good luck, brothers
Download model
Download them in the Files & versions tab.
- Downloads last month
- 88
Model tree for thatboymentor/Zimageturbo
Base model
Tongyi-MAI/Z-Image-Turbo