Instructions to use exolabs/Z-Image-Turbo-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use exolabs/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("exolabs/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
Download assets/reasoning.png from exolabs/Z-Image-Turbo-8bit: direct link, hf CLI and curl.
- Browser
- Download file 7.7 MB
-
https://huggingface.co/exolabs/Z-Image-Turbo-8bit/resolve/main/assets/reasoning.png
- Command line
-
hf download hf://exolabs/Z-Image-Turbo-8bit/assets/reasoning.png
-
curl -L -o reasoning.png https://huggingface.co/exolabs/Z-Image-Turbo-8bit/resolve/main/assets/reasoning.png
7.7 MB

- Xet hash:
- 7a932f3b3cabb5d0c07f527b8fe5f2b6780fe9ea5a3442aef48a70c60e9fa901
- Size of remote file:
- 7.7 MB
- SHA256:
- 96c16b2c8d8dc67bb92ecc22d54b9955ab55136977f515bb76f4b2eb42eb3cdb
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