ai-forever / ai-forever/Kandinsky-2
About some practice details
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Hi,
It is very cool and inspiring work. I have some questions about practice details and hope you can help me out.
a. The first one is why change the time embedding ( line 83, model/text2im_model.py)? I haven't seen the same operation in another diffusion-based work and wondering about the goal.
b. Do the function of the linear layer in Text2ImUNet align the distribution of two text embeddings?
It would be grateful if you could release the training details.
Many thanks
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