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README.md

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 ## 模型信息
 AltDiffusion-m18 是一种基于@StableDiffusion 的多语言文本图像生成模型。该模型由 Stability AI 和@BAAI FlagAI 团队合作完成（FlagAI 是 LF AI & Data Foundation 的沙盒阶段项目）。AltDiffusion-m18目前支持 18 种语言，包含：英语、中文、日语、泰语、韩语、印地语、乌克兰语、阿拉伯语、土耳其语、越南语、波兰语、荷兰语、葡萄牙语、意大利语、西班牙语、德语、法语和俄语。
 
-AltDiffusion-m18 is a multilingual text-image generation model built on @StableDiffusion. This model is a collaboration between Stability AI & @BAAI FlagAI team (FlagAI is a sandbox-stage project of LF AI & Data Foundation), and currently supports 18 languages. The languages included are English, Chinese, Japanese, Thai, Korean, Hindi, Ukrainian, Arabic, Turkish, Vietnamese, Polish, Dutch, Portuguese, Italian, Spanish, German, French, and Russian.
+AltDiffusion-m18 is a multilingual text-image generation model built on @StableDiffusion. This model is a collaboration between Stability AI & @BAAI FlagAI team (FlagAI is a sandbox-stage project of LF AI & Data Foundation). AltDiffusion-m18 currently supports 18 languages, including English, Chinese, Japanese, Thai, Korean, Hindi, Ukrainian, Arabic, Turkish, Vietnamese, Polish, Dutch, Portuguese, Italian, Spanish, German, French, and Russian.
 
 ###  训练方法
 如图1，所示训练分为两个阶段：概念对齐阶段和效果提升阶段。我们首先替换使用多语言CLIP AltCLIP-m18替换掉原始SD的OpenCLIP, 之后冻住AltCLIP的参数。在第一阶段中，使用256\*256的图片分辨率，训练Unet中CrossAttention层的k,v矩阵进行文图的概念对齐。在第二阶段中，使用512\*512的图片分辨率，训练Unet的所有参数进行生成效果的提升。