阿里巴巴开源模型Qwen-Image-2.1宣称用70亿参数超越封闭模型生成图像
Alibaba's open-weight Qwen-Image-2.1 claims to beat closed models in image generation with just 7 billion parameters
阿里巴巴新出的开源图像生成模型Qwen-Image-2.1，参数量才70亿，居然能在普通显卡上生成图像，还支持透明和参考图，比很多封闭模型还强。
阿里巴巴发布了开源模型Qwen-Image-2.1，它可以在消费者级显卡上生成和编辑图像，支持透明度和最多10张参考图。该模型参数量仅为70亿，声称性能优于封闭模型，但研究许可禁止商业使用。
Alibaba's open-weight Qwen-Image-2.1 claims to beat closed models in image generation with just 7 billion parameters
Alibaba's Qwen team has released Qwen-Image-2.1, an open-weight model that generates and edits images on powerful consumer GPUs, with support for transparency and up to ten reference images at once. Its research license bars commercial use, which requires a separate Qwen license. The article Alibaba's open-weight Qwen-Image-2.1 claims to beat closed models in image generation with just 7 billion parameters appeared first on The Decoder .
