Instructions to use ddalcu/Qwen-Image-2.1-MLX-Serve-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddalcu/Qwen-Image-2.1-MLX-Serve-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-Image-2.1-MLX-Serve-8bit ddalcu/Qwen-Image-2.1-MLX-Serve-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen-Image-2.1 MLX-Serve 8-bit
8-bit pack of Qwen/Qwen-Image-2.1 for mlx-serve: 17.6 GB, for 32 GB Macs.
Not released yet. These packs load only on the mlx-serve branch
feat/qwen-image-2.1. No released mlx-serve or MLX Core build can run them. This notice goes away when the PR ships.
What is in it
The checkpoint's own diffusers layout and key names, with the DiT block linears and the
text-encoder layer linears affine-quantized to 8-bit (group 64). Kept dense: the VAE
(f32), embed_tokens, norms, and the DiT's small or shared linears. Dropped: the Qwen3-VL
vision tower and lm_head (text-to-image only) and the VAE's per-frame time_convs.
Built by tests/convert_qwen_image21_weights.py --preset 32gb.
Measured (M1 Pro, 32 GB)
| Pack | Size | Steps | Wall clock incl. load | Peak memory |
|---|---|---|---|---|
| 8-bit | 1024x1024 | 40 | 985 s (~23 s/step) | 12.95 GB |
| 4-bit | 1024x1024 | 3 | 87 s | 9.55 GB |
| 4-bit | 512x512 | 20 | 118 s | - |
On a Mac the full set would crowd, mlx-serve loads the text encoder per request and frees it before the denoise, so the resident set is the DiT and VAE.
Run it (from the branch)
git clone -b feat/qwen-image-2.1 https://github.com/ddalcu/mlx-serve && cd mlx-serve
./scripts/fetch-zig.sh && ./scripts/build-mlx.sh && .zig-toolchain/zig build -Doptimize=ReleaseFast
./zig-out/bin/mlx-serve pull ddalcu/Qwen-Image-2.1-MLX-Serve-8bit
./zig-out/bin/mlx-serve serve
curl localhost:11234/v1/images/generations -H 'Content-Type: application/json' \
-d '{"model":"ddalcu/Qwen-Image-2.1-MLX-Serve-8bit","prompt":"a red fox in fresh snow","size":"1024x1024"}'
40 steps when steps is omitted. guidance_scale above 1 with a negative_prompt runs
real CFG (two forwards per step). image + strength does image-to-image.
Apache-2.0, same as the base model.
- Downloads last month
- -
Quantized
Model tree for ddalcu/Qwen-Image-2.1-MLX-Serve-8bit
Base model
Qwen/Qwen-Image-2.1