uhhh button. button for. button for gui sliders allowing post-hoc noi…#190
uhhh button. button for. button for gui sliders allowing post-hoc noi…#190SQCU wants to merge 1 commit into
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…se density function definitions.
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Hi there, thanks for the PR, I have no issues to merge this. But I cant' quite understand the issue, you mean after backporting the advanced model sampling extension to main branch, you started to get issues? |
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if it helps better situate the issue: however, I never diagnosed the exact cause for this issue, because porting the custom noise schedule user interface features into the up-to-date 'advanced model sampling for reforge (backported)' calling structure coincidentally fixed the v-prediction errors, discrete ztsnr errors, and also reproduced the shifted noise schedule features I'd been testing on the obsolete branch of reforge. hope this writeup helps! figure 1: initial sampling results, internal edit which wasn't respecting prediction target. |
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man what is the title of the pr 🤦♂️ |



yeah this is a real pain. for me.
i was privately maintaining some interface code supporting the ad hoc adjustment of the noise generating function at inference time to track experiments w/ different noise generating functions on fine tuned models.
some recent 'backporting' broke all of my previous interface code, changed some of the internal calling order of the functions requiring some rewrites, and also introduced some new bugs which i do not think i fully fixed.
i would recommend taking a look at the 'register_schedule...' line in this repository, since it might help with whatever bug brought about the comment re: non-ztsnr 'advanced model sampling' in line 10 of advanced_model_sampling_script_backported.py.
i would also kindly request other gui maintainers to please avoid making changes which break patches like these in the future, since i would really like to be able to submit patches allowing the inference-time-testing of experimental model training features by machine learning hobbyist practitioners.
figure 1: shows non-ztsnr inference working with v prediction enabled, ztsnr disabled, goofysampling betascale enabled, and a manually specified linear beta schedule selected in the user interface.
