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Onyx-Z-Image-3bit
wabibito/Onyx-Z-Image-3bit
Onyx-Z-Image-3bit is a text-to-image model from wabibito. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
A 3-bit MLX quantization of the official Tongyi-MAI/Z-Image, built for on-device inference in the Onyx app with a documented, reproducible pipeline.
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At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- Jul 9, 2026
- Updated
- Jul 28, 2026
- SHA
- 1f6f3c00
Base models
Model card
From the Hugging Face model README
Onyx Z Image — 3-bit MLX
A 3-bit MLX quantization of the official Tongyi-MAI/Z-Image, built for
on-device inference in the Onyx app with a documented, reproducible pipeline.
- Source: official
Tongyi-MAI/Z-Image(diffusers), quantized in-house. - Quantization: 3-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: ~22-28 steps + real guidance (undistilled). Built as MIXED 3/4-bit: quant-sensitive layers (embedders, final layer, adaLN modulation, attention) stay 4-bit; the FFN bulk is 3-bit. Uniform 3-bit mottles the undistilled DiT; this recovers a clean image at near-3-bit size.
- 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).
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Created
- Jul 9, 2026
- Updated
- Jul 28, 2026