Z-Image Turbo on HuggingFace
Z-Image Turbo model on HuggingFace platform, with over 110k monthly downloads
Overview
Z-Image Turbo model in HuggingFace community, providing complete model weights, usage examples and community support. Monthly downloads reach 111,244.
Features
- Community discussion and feedback
- Model weight downloads
- Detailed usage examples
- Decoupled-DMD acceleration algorithm
- DMDR: DMD combined with reinforcement learning
Images

Installation
pip install -U huggingface_hub HF_XET_HIGH_PERFORMANCE=1 hf download Tongyi-MAI/Z-Image-Turbo
Usage
import torch
from diffusers import ZImagePipeline
pipe = ZImagePipeline.from_pretrained(
"Tongyi-MAI/Z-Image-Turbo",
torch_dtype=torch.bfloat16,
)
pipe.to("cuda")
image = pipe(prompt="your prompt", num_inference_steps=9, guidance_scale=0.0).images[0]Requirements
- Python 3.8+
- PyTorch
- Diffusers (install from source)
- CUDA compatible GPU
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