Qwen Image
1 alias · Alibaba's image model, mflux q6. The quality pick of the image lane — for Macs with 64 GB+.
Alibaba's image model in an mflux q6 conversion: 31 GB of weights, a 64 GB Mac, and the strongest output quality of the three image families. Same OpenAI-compatible /v1/images/generations endpoint and desktop Images tab support as the rest of the lane.
- family
- Qwen Image (Alibaba)
- aliases
- 1
- install
- pip install 'rapid-mlx[image]'
- OpenAI base URL
- http://localhost:8000/v1
Usage
rapid-mlx serve qwen-image
curl http://localhost:8000/v1/images/generations \
-H 'Content-Type: application/json' \
-d '{"model":"qwen-image","prompt":"an ink-wash mountain village at dawn","size":"1024x1024"}'
Download
Mirrored on the rapid-mlx CDN — our fresh-install test measured pulls at 90 MB/s, with automatic mid-pull fallback to Hugging Face if a mirror file slows down. One command, no account:
rapid-mlx pull qwen-imageQwen Image (mflux q6) · 31 GB · mirrored ✓ · live status
Weights land in the standard Hugging Face cache, and rapid-mlx serve pulls automatically on first use.
Aliases
| alias | hf repo | min RAM | notes |
|---|---|---|---|
| qwen-image | mflux-community/qwen-image-mflux-q6 | 64 GB | The quality pick for big Macs. |
Frequently asked questions
Can I run Qwen Image locally on a Mac?
Yes — qwen-image renders entirely on Apple Silicon through POST /v1/images/generations. 31 GB download, 64 GB Mac.
How much RAM does Qwen Image need?
64 GB. For smaller Macs, z-image-turbo (16 GB) and flux2-klein-4b (12 GB) cover the same API.