Instructions to use Tongyi-MAI/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tongyi-MAI/Z-Image-Turbo 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") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
MCP server for LM Studio integration (one-line install, macOS)
#151
by ctheory - opened
Just released z-image-mcp — generate images with Z-Image-Turbo
directly from your LM Studio chat via MCP.
No ComfyUI, no cloud, one command install on Mac Apple Silicon.
github.com/ctheory/z-image-mcp
https://github.com/ctheory/z-image-mcp