Instructions to use OsaurusAI/Z-Image-Turbo-mflux-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mflux
How to use OsaurusAI/Z-Image-Turbo-mflux-4bit with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Z-Image-Turbo · mflux · 4-bit
Official OsaurusAI 4-bit mflux build of Z-Image-Turbo (Tongyi Lab, Apache-2.0). Quantized by Osaurus with mflux 0.18 and verified in the Osaurus native mflux runtime (load + generate). A ~6B single-stream DiT for fast ~9-step text-to-image on Apple Silicon.
Usage
mflux-generate-z-image-turbo --model OsaurusAI/Z-Image-Turbo-mflux-4bit \
--prompt "a small red cube on a white table" --steps 9
Or load directly in Osaurus.
Provenance
- Base: Tongyi-MAI/Z-Image-Turbo © Tongyi Lab — Apache-2.0
- Quantization: Osaurus · mflux 0.18 · 4-bit
- Contact: eric@osaurus.ai
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Model tree for OsaurusAI/Z-Image-Turbo-mflux-4bit
Base model
Tongyi-MAI/Z-Image-Turbo