Comments (8)
oh god it seems that image log is in space [0, 1] but tutorial_dataset.py is in space [-1,1]. will fix asap
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Fixed.
330064d
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No worries. This is only the log right, it does not affect training?
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for control image, using [0, 1] is better because in many cases like edge maps, 0 can be bg while edges can be 1. If you do not pull then it does not influence training
from controlnet.
It looks like in the data loader the target image is still mapped in the -1.0 to 1.0 range.
Wouldn’t it make sense for the control image to be in the same color range as well?
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target image must use same space as SD. control image better to use [0, 1] as many app use edge maps
from controlnet.
Why would a minimum value of 0.0 be better for edge maps? Wouldn’t it be better if the background is -1.0, so that it gives a greater distance between the edge and background values, while also keeping it in the same color space as SD.
from controlnet.
Normal maps are also traditionally in a -1.0 to 1.0 range. Mapping the range to what is normally used isn’t really a valid reason since there are use cases for both. The range should be whatever trains the best.
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