Instructions to use yobuntuvh/maya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yobuntuvh/maya 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("yobuntuvh/maya") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/photo_2026-02-10_21-01-53.jpg
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: maya999
license: apache-2.0
maya

- Prompt
- -
Trigger words
You should use maya999 to trigger the image generation.
Download model
Download them in the Files & versions tab.