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SD ComfyUI中如何正确设置Clip Skip停止层Clip Skip解析. 发布于 2024-03-15 22:52 ・IP 属地江苏 · 312 次播放. 深度学习(Deep Learning) Stable Diffusion comfyUI. 写下你的评论... SDXL大模型如何设置Clip Skip,Clip Skip是什么?. 今天我将带大家全面解析Clip Skip的讲解 欢迎关注 https://www ...
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SD ComfyUI中如何正确设置Clip Skip停止层Clip Skip解析 - 知乎
SD ComfyUI中如何正确设置Clip Skip停止层Clip Skip解析. 发布于 2024-03-15 22:52 ・IP 属地江苏 · 312 次播放. 深度学习(Deep Learning) Stable Diffusion comfyUI. 写下你的评论... SDXL大模型如何设置Clip Skip,Clip Skip是什么?. 今天我将带大家全面解析Clip Skip的讲解 欢迎关注 https://www ...
知乎 - 有问题,就会有答案
知乎是一个发现问题和分享答案的平台,用户可以在这里提出问题并获得解答。
为什么Clip可以用于zero shot分类? - 知乎
在CLIP的预训练图像数据集中,必然包括了大量的狗的图像数据,而这些图像的caption即使各有不同,其中却必然包括'Dog'这个关键词。 换句话说,狗的图像和狗这个词的共现概率足够高,因此其编码的相似性足够高。
CLIP的可解释性有哪些问题,及怎么应用到各种open-vocabulary任务上? - 知乎
CLIP的可解释性问题. 二.为什么有这些问题. 1.对于相反结果,原因在于self-attention。. 具体来说用原来的query和key的参数出来的特征算self-attention,最相似的token并不是本身或者相同语义区域,而是一些背景的噪声。. 而用value出来的特征和自己算attention就不会出现 ...
用transformer做视觉,具体是怎么把图片转成token的? - 知乎
这是目前的主流方案,包括各种多模态算法,如CLIP等只要用到ViT结构都是原样照搬;(2)后续BEiT使用离散VAE来生成image token;(3)半个月前中科大和MSRA提出的PeCo,引入感知相似性的思想,通过VQ-VAE进行token生成。性能上也略微超过MAE。
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