Instructions to use mzbac/Z-Image-Turbo-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mzbac/Z-Image-Turbo-8bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mzbac/Z-Image-Turbo-8bit", 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:
- a0056896d115962a0effbfab346ad0a31f545f046dd623aeaa5150a2d62bb5de
- Size of remote file:
- 422 kB
- SHA256:
- 261af62ecc7e9749ae28e1d3a84e2f70a6c192d2017b7d8f020c7bff982ef59c
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