Instructions to use intel-ai/Z-Image-Turbo-MXFP8-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use intel-ai/Z-Image-Turbo-MXFP8-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("intel-ai/Z-Image-Turbo-MXFP8-AutoRound", 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
Commit History
2 days ago
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Update README.md
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Replace RTN checkpoint with SignRound, 200 iterations
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Add model card
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Upload quantized model Z-Image-Turbo-MXFP8-RTN-AutoRound
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initial commit
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