Model Details
Full Model IDTongyi-MAI/Z-Image-Turbo
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)629.4K
Likes5.3K
Last Modified1/30/2026
Author / OrgTongyi-MAI
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-image", model="Tongyi-MAI/Z-Image-Turbo")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorstext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649license:apache-2.0diffusers:ZImagePipelinedeploy:azureregion:us
More Text to Image Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎨 Task: Text to Image
This model is designed for the Text to Image task. Explore more models for this use case.
All Text to Image Models →📊 Popularity
⬇ Downloads629.4K
❤️ Community Likes5.3K
🛠️ Requirements
- →Install: pip install diffusers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.