๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

David Hendrickson
@TeksEdge
CEO & Founder | PhD | Startup Advisor | @Columbia | Author Generative Software Engineering | ๐Ÿ”” Follow for AI & Vibe Coding Tips ๐Ÿ‘‡
๊ฐ€์ž… July 2023
549 ํŒ”๋กœ์ž‰ ์ค‘    11.2K ํŒฌ
Qwenโ€™s Image 2.1 released but it come with lots of improvements but just as many caveats. The old Qwen-Image-2512 was a 20B model with a massive: ๐Ÿ’พ 40.9GB BF16 image transformer But the new Qwen-Image-2.1 comes with โ€ฆ ๐Ÿง  7B visual generator ๐Ÿ’พ 14.2GB BF16 ๐Ÿ”ฅ 7.26GB INT8 already available for ComfyUI ๐Ÿ‘ˆ๐Ÿ‘€ (Day-1) This little thing can โ€ฆ ๐ŸŽจ generate AND edit images ๐Ÿ–ผ๏ธ generate native 2K ๐Ÿซฅ create real transparent RGBA images ๐Ÿ‘ฅ use up to 10 reference images โœ๏ธ preserve people/products while editing ๐Ÿ”ค render text ๐ŸŽฏ do masked/local edits Qwen basically took the huge local image model and reduced with a catch โ€ฆ โš ๏ธ The tiny 7.26GB image model comes with an entire pipeline. It uses a Qwen3-VL 8B encoder + VAE. ComfyUI already has a 6.31GB W4A8 encoder, and Qwen supports CPU offloading for smaller GPUs. Alsoโ€ฆ ๐Ÿšซ Qwen-Image-2.1 is NON-COMMERCIAL under the new Qwen Research License. Thatโ€™s especially notable because Qwen-Image-2512 was Apache 2.0.
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