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AltDiffusion-m9 模型由名为 AltCLIP-m9 的多语 CLIP 模型支持，该模型也可在本项目中访问。您可以阅读 [此教程](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP/README.md) 了解更多信息。
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中英双语版AltDiffusion支持线上演示，点击 [这里](https://huggingface.co/spaces/BAAI/FlagStudio) 在线试玩！
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We used [AltCLIP-m9](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP/README.md), and trained a bilingual Diffusion model based on [Stable Diffusion](https://huggingface.co/CompVis/stable-diffusion), with training data from [WuDao dataset](https://data.baai.ac.cn/details/WuDaoCorporaText) and [LAION](https://huggingface.co/datasets/laion/laion2B-en).
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Our model performs well in aligning multilanguage and is the strongest open-source version on the market today, retaining most of the stable diffusion capabilities of the original, and in some cases even better than the original model.
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AltDiffusion-m9 model is backed by a multilingual CLIP model named AltCLIP-m9, which is also accessible in FlagAI. You can read [this tutorial](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP/README.md) for more information.
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Bilingual AltDiffusion now supports online demo, try out it by clicking [here](https://huggingface.co/spaces/BAAI/FlagStudio)!
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## 引用
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关于AltCLIP-m9，我们已经推出了相关报告，有更多细节可以查阅，如对您的工作有帮助，欢迎引用。
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AltDiffusion-m9 模型由名为 AltCLIP-m9 的多语 CLIP 模型支持，该模型也可在本项目中访问。您可以阅读 [此教程](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP/README.md) 了解更多信息。
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We used [AltCLIP-m9](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP/README.md), and trained a bilingual Diffusion model based on [Stable Diffusion](https://huggingface.co/CompVis/stable-diffusion), with training data from [WuDao dataset](https://data.baai.ac.cn/details/WuDaoCorporaText) and [LAION](https://huggingface.co/datasets/laion/laion2B-en).
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Our model performs well in aligning multilanguage and is the strongest open-source version on the market today, retaining most of the stable diffusion capabilities of the original, and in some cases even better than the original model.
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AltDiffusion-m9 model is backed by a multilingual CLIP model named AltCLIP-m9, which is also accessible in FlagAI. You can read [this tutorial](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP/README.md) for more information.
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## 引用
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关于AltCLIP-m9，我们已经推出了相关报告，有更多细节可以查阅，如对您的工作有帮助，欢迎引用。
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