Instructions to use StarNoTears/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StarNoTears/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("StarNoTears/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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- da0dc782b476d2745390000b663c689259cdcf45c17ac91c0685701519103373
- Size of remote file:
- 173 kB
- SHA256:
- 2e6f3053b98d097f2aa11d3892bd9307326db41b65336bea54dc5825a0e03077
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