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作者您好,据我目前所了解,通过clip编码器得到的维度是[1, 512]的,您是如何把他们变为c , h, w的形状,并融入扩散模型?感谢您的回答。
The text was updated successfully, but these errors were encountered:
你好,这里跟stable diffusion一样是用的cross-attention,图像会被reshap成 (b, h*w, c)这样,具体代码可以看这个attention.py。
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作者您好,据我目前所了解,通过clip编码器得到的维度是[1, 512]的,您是如何把他们变为c , h, w的形状,并融入扩散模型?感谢您的回答。
The text was updated successfully, but these errors were encountered: