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
- AMD Developer Cloud
- Local Apps Settings
- Draw Things
- DiffusionBee
Access to the fake score checkpoint of Decoupled-DMD
#165
by lefreud - opened
Hi, I'm doing research on DMD and I'd like to thank you for the great work behind Z-Image, Z-Image-Turbo and Decoupled DMD.
I'm wondering if it would be possible to have access to the fake score model checkpoint, which would be useful to test some DMD training strategy on our side.
Thanks!