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Random strength for Noise Offset and input perturbation noise #1177

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merged 3 commits into from
Mar 20, 2024

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KohakuBlueleaf
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As title, I implemented a mechanism to apply noise offset/ip noise with random strength. (based on the strength value)

This is simple and could help model to learn more stably

@masaint
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masaint commented Mar 18, 2024

I'm interested in this concept, however is the random value truly 0-1? If so, have you tested it? Would be interested to see results.

Perhaps it could be improved if allowing a random range rather than truly random?

@KohakuBlueleaf
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I'm interested in this concept, however is the random value truly 0-1? If so, have you tested it? Would be interested to see results.

Perhaps it could be improved if allowing a random range rather than truly random?

image

And have you checked the code? it is random range. the upper bound is the strength set in the arguments.

@kohya-ss
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Thank you for this simple but really effective PR!

@kohya-ss kohya-ss merged commit cf09c6a into kohya-ss:dev Mar 20, 2024
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3 participants