Instructions to use zachyuan/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zachyuan/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("zachyuan/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:
- 77bc1611db49e8293d908ae8efe1f61fb0851af40b820d83c3c0a0c05f356379
- Size of remote file:
- 15.8 MB
- SHA256:
- 6f9895b3246d2547bac74bbe0be975da500eaae93f2cad4248ad3281786b1ac6
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