Instructions to use InsecureErasure/Z-Image-Turbo-MXFP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InsecureErasure/Z-Image-Turbo-MXFP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InsecureErasure/Z-Image-Turbo-MXFP8", 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:
- b97329871f76ac369385b404c6da777cf3c90816c12f1509bb5163bdada6aa05
- Size of remote file:
- 5.93 MB
- SHA256:
- 64a8f8783df96aa3f379b04cd994f55240f8bf7a70843a3851a0ec800f537b03
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