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很多人可能不知道，三大开源文生图模型分别是：Stable Diffusion、FLUX、Playground，不过此次发布的 V3 版本并没有像 2.5 一样直接开源，只发布了论文，可以期待一下。 对于那些对AI和图形设计前沿感兴趣的人来说，PGv3的发布是一个值得探索的发展。 - Playground Research推出了新一代文本到图像模型PGv3，具备240亿参数量，采用深度融合的大型语言模型，实现了在图形设计和遵循文本提示指令上甚至超越了人类设计师。 Playground Research最近发布了一篇论文，详细介绍了团队最新的、基于DiT的扩散模型Playground v3（简称PGv3），将模型参数量扩展到240亿，在多个测试基准上达到了最先进的性能，更擅长图形设计。
Discover the new version now and revolutionize your design process! 专注于 Logo、文化衫、海报等设计的开源模型 Playground 发布 v3 beta 版本，并可直接在其官网 Playground Create 上免费试用， POE 也发布了对其的支持。 近日，Playground v3（PGv3）的发布引起了广泛关注。 作为最新的文本到图像模型，PGv3在多个测试基准上取得了最先进的性能，并在图形设计能力上展现出超越人类的能力。
在技术创新的快速发展中，Playground再次吸引了全行业的目光，近日正式发布了其最新版本Playground v3。 该版本在生成图像的基础上，参数量第一次提升至240亿。
Playground上线了Playground v3 beta版本，同时还发布了技术报告，与传统的依赖T5或CLIP文本编码器的预训练语言模型的文本到图像生成模型不同，Playground v3完全集. Playground Research推出了新一代文本到图像模型PGv3，具备240亿参数量，采用深度融合的大型语言模型，实现了在图形设计和遵循文本提示指令上甚至超越了人类设计师，同时支持精确的RGB颜色控制和多语言识别。 自去年以来，文本到图像生成模型取得了巨大进展，模型的架构从传统的基于UNet逐渐转变为基于Transformer的模型。 Playground. Playground 发布 v3 beta 版本，并可直接在其官网 Playground Create 上免费试用， POE 也发布了对其的支持。 需要注意的是，它生成真人的能力要差点，但是生成 Logo 等设计的效果非常的好，一定要试试。 官网还有 Design 功能，可以基于已有设计非常轻松的替换或修改。
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