Instructions to use mrfakename/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrfakename/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("mrfakename/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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 68d25f605740a8f3095be383a27388bbf47a24719646eb3ffea940534f298fa9
- Size of remote file:
- 8.3 MB
- SHA256:
- 9a739bf5b0d1055e8fbe073b560fade2cc7bbcf4a0c8e90daf039cea051bb84b
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