็™ป้Œฒใ—ใฆๆ‹›ๅพ…ใƒชใƒณใ‚ฏใ‚’ๅ…ฑๆœ‰ใ™ใ‚‹ใจใ€ๅ‹•็”ปๅ†็”Ÿๅ ฑ้…ฌใจ็ดนไป‹ๅ ฑ้…ฌใ‚’็ฒๅพ—ใงใใพใ™ใ€‚

Pruna AI
@PrunaAI
High-performance AI models that combine speed, quality, and specialization for key use cases. ๐ŸŒฑ Make AI accessible and sustainable for everyone!
ๅ‚ๅŠ  April 2023
224 ใƒ•ใ‚ฉใƒญใƒผไธญ    4.6K ใƒ•ใ‚กใƒณ
Today, we open-source Pruna-Qwen-Image-2.1, a set of a few-step LoRA adapters that make Qwen-Image-2.1 by @Alibaba_Qwen up to 6.3ร— faster for image generation and editing. - ๐—›๐—ผ๐˜„ ๐—ฒ๐—ณ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜ ๐—ถ๐˜€ ๐—ถ๐˜? Generate or edit images in just 5 or 8 steps instead of 40. Choose 5 steps for maximum speed or 8 steps for the best balance. - ๐—›๐—ผ๐˜„ ๐—ด๐—ผ๐—ผ๐—ฑ ๐—ถ๐˜€ ๐—ถ๐˜? The 8-step adapter is our recommended default. It supports text-to-image and single- or multi-image editing at 1K resolution, with up to three reference images. - ๐—›๐—ผ๐˜„ ๐—ฑ๐—ผ๐—ฒ๐˜€ ๐—ถ๐˜ ๐˜„๐—ผ๐—ฟ๐—ธ?The LoRA adapters load directly on top of Qwen-Image-2.1, while the pipeline remains unchanged. Each adapter uses its own optimized sigma schedule and runs without CFG. ๐˜›๐˜ฉ๐˜ช๐˜ด ๐˜ช๐˜ด ๐˜ซ๐˜ถ๐˜ด๐˜ต ๐˜ฐ๐˜ถ๐˜ณ ๐˜ง๐˜ช๐˜ณ๐˜ด๐˜ต ๐˜ณ๐˜ฆ๐˜ญ๐˜ฆ๐˜ข๐˜ด๐˜ฆ, ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ฆ๐˜ท๐˜ฆ๐˜ฏ ๐˜ฃ๐˜ฆ๐˜ต๐˜ต๐˜ฆ๐˜ณ ๐˜ท๐˜ฆ๐˜ณ๐˜ด๐˜ช๐˜ฐ๐˜ฏ๐˜ด ๐˜ฐ๐˜ฏ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ธ๐˜ข๐˜บ. ๐Ÿš€ Want to try the fast open-source integration? Check it here on Diffusers: Want to try the fastest image generation and editing endpoint? Check P-Image-Ideogram and P-Image-Edit here on API:
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