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wabibito/Onyx-Qwen-Image-Edit-2509-mlx
Onyx-Qwen-Image-Edit-2509-mlx is a machine learning model from wabibito. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
Onyx's own MLX export of Qwen/Qwen-Image-Edit-2509 (Apache-2.0) — the image EDIT model: a source image plus an instruction ("make the sky purple", "remove the sign") in, the edited image out. Built for the Onyx on-dev…
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Updated Jul 28, 2026
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From the Hugging Face model README
Onyx's own MLX export of Qwen/Qwen-Image-Edit-2509 (Apache-2.0) — the image EDIT model: a source image plus an instruction ("make the sky purple", "remove the sign") in, the edited image out. Built for the Onyx on-device engine (OnyxDiffusion), which streams the DiT block-by-block so the denoise memory footprint stays flat on iPhone.
transformer/ — QwenImageTransformer2DModel (60 blocks), uniform 8-bit group-64. 4-bit was
render-verified to add uniform fine grain (per-step error accumulates over 60 blocks x 50 steps);
8-bit is indistinguishable from full precision.text_encoder/ — Qwen2.5-VL-7B conditioning tower, mixed precision (default 4-bit group-64 with
the quant-sensitive attention Linears at 8-bit; each Linear's bits are self-described by its own
weight/scales/biases shapes).vae/ — AutoencoderKLQwenImage, unquantized bf16.tokenizer/, processor/, scheduler/, model_index.json — unchanged from the official source.sha256.json — per-file integrity manifest.~27 GB total. License: Apache-2.0 (inherited from the base model).