Qwen-Image-2.1-MLX-4bit

Qwen-Image-2.1-MLX-4bit — for MindCraft Studio

This repository contains the 4-bit quantized version of Qwen-Image 2.1, optimized for Apple Silicon (macOS) using MLX.

Qwen-Image 2.1 is an advanced visual foundation model featuring strong multilingual prompt understanding, native transparent RGBA image generation, and instruction-based multi-image editing (supporting up to 10 reference images).

• Original Model: Qwen/Qwen-Image-2.1
• Used by: MindCraft Studio — A local-first AI image generation & canvas powerhouse for macOS
• Framework: Apple MLX
• Quantization: 4-bit weight quantization (~11.6 GB)
• License: Qwen Research License Agreement (same as upstream)

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Features

• Apple Silicon Native: Optimized specifically for Unified Memory architectures (M1/M2/M3/M4/M5) via MLX.
• Instruction-Based Image Editing: Edit existing images using natural language instructions with support for 1–10 input reference images.
• Native RGBA Transparency Support: Generate cutout stickers and transparent PNGs natively with prompt triggers (e.g., "This is an RGBA image with transparency... The image has alpha channel and the background is transparent.").
• Bilingual Prompt Understanding: Excellent prompt adherence in both English and Chinese.

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How to Use

In MindCraft Studio (Recommended)

No manual conversion or shell scripting required:

1. Download and open MindCraft Studio.
2. Go to Settings → Model Library.
3. Select Qwen-Image 2.1 (4-bit) and click Download / Install.
4. The model will download directly from this repository and become available in both the generation sidebar and the endless canvas node engine.

👉 Download MindCraft Studio →

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License

This model follows the original upstream license: Qwen Research License Agreement.

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Links & Credits

• Original Base Model: Qwen/Qwen-Image-2.1
• Qwen GitHub: https://github.com/QwenLM/Qwen-Image-2.1
• MindCraft Studio: https://themindstudio.cc/mindcraft