Unverified50% confidenceEventExact time
When the author ran Qwen-Image-2.1 at 1024×1024 resolution on the same Mac, the process footprint never exceeded 18.5 GB, but swap grew by 3.5 GB during the denoising stage and by 9.6 GB during the VAE decoding stage, and finally the memory guard actively terminated the run before writing out the image.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedTesting with a 4-bit quantized Qwen2.5 7B model on an M2 Mac mini with 16 GB unified memory, throughput dropped from 16.8 tokens/s without batching to 8.7 tokens/s with batching.74% similarUnverifiedWhen using stageload's release(module) to move parameters and buffers to the meta device and running Qwen-Image-2.1 in a stage-by-stage 'load at start, release at end' manner (the 16.3 GB text encoder and the 13.3 GB transformer loaded only one at a time), the peak on the same Mac dropped to 19.0 GB, and swap did not grow in either run.73% similarUnverifiedThe larger the context window, the more cache is needed, the greater the memory footprint, and the slower the speed; taking Qwen 3.8 as an example, the cache for a 256K context window can reach 17 GB, making it twice as slow as a smaller window.72% similarUnverifiedIn a run of Qwen-Image-2.1 with diffusers model CPU offload, the footprint on a 48 GB M5 Pro never exceeded 18.5 GB, while swap space grew by 9.6 GB.70% similar
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