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 Settings
- Draw Things
- DiffusionBee
I hope you make sure your turbo doesn't become almost like Flux...after all the ComfyUI updates
#114
by MorBleh - opened
Turbo is no longer Turbo...it was released in a matter of seconds, but now it's just a higher-quality flux dev - so you can release it. The euphoria after new COMFY updates has passed. I think Base will be made even worse and PRO will accidentally appear in the nodes!)))
MorBleh changed discussion title from Надесь вы сделаете что Ваше турбо не станет почти как Flux ...после всех обновлений ComfyUI to I hope you make sure your turbo doesn't become almost like Flux...after all the ComfyUI updates
No
Z Image Turbo has more likes than Flux.2, haha! and there is no Flux.2 Klein, they made closed-source Flux.2 Max instead