่จปๅ†Šไธฆๅˆ†ไบซ้‚€่ซ‹้€ฃ็ต๏ผŒๅฏ็ฒๅพ—ๅฝฑ็‰‡ๆ’ญๆ”พ่ˆ‡้‚€่ซ‹็Žๅ‹ตใ€‚

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!
ๅŠ ๅ…ฅ April 2023
224 ๆญฃๅœจ้—œๆณจ    4.6K ็ฒ‰็ตฒ
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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