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z-image-turbo-mlx
SceneWorks/z-image-turbo-mlx
z-image-turbo-mlx is a text-to-image model from SceneWorks. Use it when you need an image from a text prompt. It is set up for mlx. The card lists the license as apache-2.0.
Pre-built MLX (Apple Silicon) quantization tiers of Tongyi-MAI/Z-Image-Turbo, hosted by SceneWorks for direct, ready-to-run loading in the SceneWorks desktop app (no install-time conversion, no gated download).
Access
Public
Updated Jun 30, 2026
Repo size
37.4 GB
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Repo makeup
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At a glance
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026
- SHA
- bb2bc989
Base models
Model card
From the Hugging Face model README
Z-Image-Turbo — MLX quant-matrix (SceneWorks re-host)
Pre-built MLX (Apple Silicon) quantization tiers of Tongyi-MAI/Z-Image-Turbo, hosted by SceneWorks for direct, ready-to-run loading in the SceneWorks desktop app (no install-time conversion, no gated download).
Tiers
Each subdirectory is a complete, self-contained snapshot (transformer + Qwen3 text encoder + VAE + tokenizer + scheduler) that the SceneWorks z_image_turbo engine loads directly:
| Tier | Subdir | Precision | Use |
|---|---|---|---|
| Q4 (default) | q4/ | 4-bit group-affine (group 64) weights; dense norms | smallest footprint |
| Q8 | q8/ | 8-bit group-affine weights | higher fidelity |
| bf16 | bf16/ | dense bf16 | maximum fidelity |
The transformer, text encoder, and VAE attention are quantized in the Q4/Q8 tiers; the bf16 tier is the full dense model. The packed weights auto-detect their quantization on load (no manifest needed).
License
Apache-2.0, inherited from the upstream Tongyi-MAI/Z-Image-Turbo. This is an unmodified-weights re-host (re-quantized for MLX). All credit to the Tongyi-MAI team.
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Languages
- en
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026