infosave / Qwen-Image-2.1-cmf

Qwen-Image-2.1 — CMF

Qwen-Image-2.1 packaged as a single CMF file: the 7B image transformer, the Qwen3-VL-8B text encoder with its vision tower, and the RGBA VAE together, with the generation recipe stored inside. It runs with cortiq , a Rust engine with no Python: Apple silicon through Metal, NVIDIA GPUs through Vulkan, and a CPU fallback everywhere. Text-to-image, native transparency (RGBA), and generation from condition images. Built with Qwen.

A neon shop sign that reads "CORTIQ", rainy night, reflections on wet pavement	RGBA: a cute cartoon dragon sticker, transparent background
A red fox sitting in fresh snow at golden hour, photorealistic	A vintage travel poster of Lake Baikal, the title "BAIKAL"
--image (left, the fox above) + "Change the background to a sunset beach, keep the fox unchanged" (right)

_{1024×1024, 40 steps, default settings, generated by cortiq (Vulkan, RTX PRO 4000); click for the full PNG.}

English · Русский · 中文

Quick start

cargo install cortiq-cli          # 0.8.2 or later; prebuilt binaries: github.com/infosave2007/cmf/releases
hf download infosave/Qwen-Image-2.1-cmf qwen-image-2.1.cmf qwen-image-2.1.cmf.sha256 --local-dir .
cortiq imagine qwen-image-2.1.cmf --prompt "A neon shop sign that reads \"CORTIQ\", rainy night, reflections on wet pavement"

No flags needed: the file carries the recipe (1024×1024, 40 steps, no CFG). Set XDG_RUNTIME_DIR=/tmp on a headless Linux box.

Transparent images — ask for them in the prompt, PNG keeps the alpha channel:

cortiq imagine qwen-image-2.1.cmf --out sticker.png --prompt "This is an RGBA image with transparency. A cute cartoon dragon sticker. The image has alpha channel and the background is transparent."

From condition images (repeat --image for several):

cortiq imagine qwen-image-2.1.cmf --image photo.png --prompt "Change the background to a sunset beach"

File

sha256 b94309e4ed716c7a224c3dc88d583d3095d6e34edd76a76c01b04b9123a40bce ( qwen-image-2.1.cmf.sha256 is next to it). The text encoder is 8-bit by measurement: at 4 bits its output moves 40 % against the fp32 reference, at 8 bits 11 %. With bf16 weights the engine matches the diffusers fp32 reference to 1e-5.

Performance

RTX PRO 4000 Blackwell (24 GB), Vulkan, one image per process, default settings (40 steps):

Peak VRAM 17.5 GB at 1024² (24 GB cards). With several GPUs the engine takes the one with tensor cores and the most memory; CMF_GPU_ADAPTER=<n> (see cortiq gpu ) pins another.

Mac mini M4 (10-core GPU, 24 GB), Metal:

About 9 GB of memory. The GEMMs run at ≈ 83 % of the M4 GPU's matrix peak, so the time is the model's arithmetic; --steps 20 halves it. Measured with cortiq 0.8.2.

Options

CMF_QI21_PROF=1 prints stage times. CMF_GPU=0 runs everything on the CPU (very slow).

License

Qwen-Image-2.1 is released under the Qwen Research License : non-commercial use only (research and evaluation). This repository redistributes it modified — quantized and repackaged into CMF by infosave — under the same agreement; see LICENSE and NOTICE . Commercial use needs a separate license from the Qwen team. Built with Qwen.

Verify

sha256sum -c qwen-image-2.1.cmf.sha256    # macOS: shasum -a 256 -c
cortiq info qwen-image-2.1.cmf

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Документация на русском

Qwen-Image-2.1 одним файлом CMF : трансформер 7B, текстовый энкодер Qwen3-VL-8B с vision-башней и RGBA-VAE вместе, рецепт генерации записан в файл. Запускается движком cortiq на Rust без Python: Apple silicon через Metal, NVIDIA через Vulkan, везде есть путь на CPU. Генерация по тексту, нативная прозрачность (RGBA), генерация по картинкам-условиям.

cargo install cortiq-cli          # 0.8.2 или новее; готовые бинарники: github.com/infosave2007/cmf/releases
hf download infosave/Qwen-Image-2.1-cmf qwen-image-2.1.cmf qwen-image-2.1.cmf.sha256 --local-dir .
cortiq imagine qwen-image-2.1.cmf --prompt "Лиса сидит в свежем снегу, золотой час, фотореализм"
cortiq imagine qwen-image-2.1.cmf --image photo.png --prompt "Замени фон на закат на пляже"

Флаги не нужны: 1024×1024, 40 шагов, без CFG. Прозрачный фон — попросите в промпте, PNG сохраняет альфа-канал. На Linux без дисплея задайте XDG_RUNTIME_DIR=/tmp .

Файл: qwen-image-2.1.cmf , 12.7 ГБ — трансформер 4 бит ( q4tp ), энкодер и vision-башня 8 бит ( q8_2f ), VAE f16; sha256 в qwen-image-2.1.cmf.sha256 .

Скорость (один процесс на картинку, настройки по умолчанию, 40 шагов):

Пик видеопамяти 17.5 ГБ (карты на 24 ГБ); из нескольких GPU берётся карта с тензорными ядрами и большей памятью, CMF_GPU_ADAPTER=<n> выбирает другую. На Mac около 9 ГБ памяти, GEMM идут на ≈ 83 % матричного пика M4; --steps 20 вдвое быстрее.

Опции: --width / --height (кратны 32), --steps , --seed , --num-images N , --image (повторяемый), --reference-size S , --cfg G с --negative-prompt , --out ( .png с альфой, .jpg , .ppm ). CMF_QI21_PROF=1 печатает время стадий.

Лицензия: Qwen Research License — только некоммерческое использование; файлы изменены (квантованы и упакованы в CMF), см. LICENSE и NOTICE . Built with Qwen.

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中文文档

Qwen-Image-2.1 打包为单个 CMF 文件：7B 图像 Transformer、Qwen3-VL-8B 文本编码器及其视觉塔、 RGBA VAE 合在一起，生成配方也写在文件里。由 Rust 引擎 cortiq 运行，无需 Python：Apple silicon 走 Metal，NVIDIA 走 Vulkan，任何机器都有 CPU 后备路径。支持文生图、原生透明（RGBA）和以图为条件的生成。

cargo install cortiq-cli          # 0.8.2 或更新
hf download infosave/Qwen-Image-2.1-cmf qwen-image-2.1.cmf qwen-image-2.1.cmf.sha256 --local-dir .
cortiq imagine qwen-image-2.1.cmf --prompt "雨夜里写着 \"CORTIQ\" 的霓虹招牌，湿润路面上的倒影"

无需参数：1024×1024，40 步，无 CFG。透明背景请在提示词中说明，PNG 保留 alpha 通道。

文件： qwen-image-2.1.cmf ，12.7 GB —— Transformer 4 位（ q4tp ）、文本编码器与视觉塔 8 位（ q8_2f ）、VAE f16。

性能 （每进程一张图，默认设置，40 步）：

显存峰值 17.5 GB（24 GB 显卡）；多卡时自动选择带张量核心、显存最大的卡， CMF_GPU_ADAPTER=<n> 可指定。Mac 约占 9 GB 内存， --steps 20 可减半耗时。

许可： Qwen Research License —— 仅限非商业用途；文件经过修改（量化并打包为 CMF），见 LICENSE 与 NOTICE 。Built with Qwen。