Instructions to use Herthu99/MarieZturbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Herthu99/MarieZturbo 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("Herthu99/MarieZturbo") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Marie

- Prompt
- -
Model description
Marie
Trigger words
You should use Marie to trigger the image generation.
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Model tree for Herthu99/MarieZturbo
Base model
Tongyi-MAI/Z-Image-Turbo