Random strength for Noise Offset and input perturbation noise #1177
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
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? |
And have you checked the code? it is random range. the upper bound is the strength set in the arguments. |
|
Thank you for this simple but really effective PR! |
nana0304
pushed a commit
to nana0304/sd-scripts
that referenced
this pull request
Jun 4, 2025
…noise Random strength for Noise Offset and input perturbation noise
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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