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[return to "Imagen, a text-to-image diffusion model"]
1. planb+oX[view] [source] 2022-05-24 05:13:47
>>kevema+(OP)
Seeing the artificial restrictions to this model as well as to DALL-E 2, I can't help but ask myself why the porn industry isn't driving its own research. Given the size of that industry and the sheer abundance of training material, it seems just a matter of time until you can create photo realistic images of yourself with your favourite celebrity for a small fee. Is there anything I am missing? Can you only do this kind of research at google or openai scale?
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2. rg111+xY[view] [source] 2022-05-24 05:25:10
>>planb+oX
Transfer learning is a thing.

But I have not tried making generative models with out-of-distribution data before. Distributions other than main training data.

There are several indie attempts that I am aware of. Mentioning them to the reply of this comment. (In case the comment gets deleted)

The first layers should be general. But the later layers should not behave well to porn images. As they are more specialist layers learning distribution specific visual patters.

Transfer learning is posssible.

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