Onyx Z Image Turbo — 4-bit MLX

A 4-bit MLX quantization of the official Tongyi-MAI/Z-Image-Turbo, built for on-device inference in the Onyx app with a documented, reproducible pipeline.

Source: official Tongyi-MAI/Z-Image-Turbo (diffusers), quantized in-house.
Quantization: 4-bit, group 64, MLX. Only transformer + text-encoder Linear leaves are quantized; norms/embeddings/convs and the whole VAE stay fp16. Components: transformer/, text_encoder/ (Qwen3), vae/ (16-ch FLUX-family), tokenizer/, scheduler/.
Inference: ~8 steps, CFG off (distilled).
Verified: reloaded through the Onyx engine and render-checked before publish.

Quantized derivative for efficient on-device use; all credit for the model to Tongyi-MAI (Alibaba).

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