High-level instruction on how to use the LatentTransparencyOffsetEncoder model
kevsak5 opened this issue · comments
kevsak5 commented
Hi,
Thanks again for this awesome tech.
I see in several issues that Encoder support will come in the near future. Thank you for that.
In the mean time, if I want to use LatentTransparencyOffsetEncoder and test a few things out, what's the expected input?
From reading the decoder,
- seems like the input should be alpha then rgb. Is this correct?
- Are the input values [-1,1] or [0,1]
- From my simple testing of autoencoding, e.g. LatentTransparencyOffsetEncoder(alpha, RGB) + sdvae.encode( masked_rgb ) -> decode, it seems like not adding the offset performs better. Is this expected?
Thanks again.
XinYang commented
Me either, I am wondering how this latent offset Encoder should work.
Luo Chaofan commented
3. LatentTransparencyOffsetEncoder(alpha, RGB) + sdvae.encode( masked_rgb ) -> decode, it seems like not adding the offset performs better. Is this expected?
Thanks again.
Hello, have you figured out yet?
layerdiffusion commented
Hey people, see also updates: