Model overview
Native MLX/mflux q4 conversion of `Qwen/Qwen-Image-2.1` for Apple silicon. The transformer and Qwen3-VL text encoder are both stored in MLX affine 4-bit format; the VAE uses the mflux Qwen Image 2.1 layout. This checkpoint was converted from upstream revision `790c92633540aa0cb11d9abf19eb46d861714758` with mflux 0.20.0 and MLX 0.32.2. It is intended for the reviewed low-memory loader in Rapid-MLX. Stock mflux 0.20.0 skips text-encoder quantization and cannot load this pack without that loader change. - 512x512, 40 steps: 4.68 GiB peak MLX memory - 1024x1024, 4 steps: 5.14 GiB peak MLX memory - packaged size: approximately 8.9 GB
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。