How to make each iteration add more details #5
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with normal hi-res fix, we can control how much detail we want to improve by setting denoise value, how to do it with this new method? |
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Replies: 3 comments 1 reply
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you can (and should) still use a denoise with the if you're asking how to use a different denoise for each iteration, that's possible too but you'll need to do it via the YAML parameters feature. it's reasonably well documented in the README (you need to expand the section to see it since it's fairly big) and has a few examples but i'll show you a few specifically for that as well. i would recommend reading that section in the README though. first, you can just define a schedule via YAML parameters rather than passing in schedule_override:
schedule_name: karras
steps: 20
denoise: 0.3it's also possible to override either the iteration_override:
0:
schedule_override:
schedule_name: karras
steps: 20
denoise: 0.3
1:
schedule_override:
schedule_name: karras
steps: 20
denoise: 0.2
2:
schedule_override:
schedule_name: karras
steps: 20
denoise: 0.1there are various ways to do it - you could do a schedule_override at the top level and then only override iterations 1 and 2 (they are indexed starting from 0). if you wanted to you could also change other parameters like by the way, the |
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@frankyifei did my response above resolve your issue? if not, please let me know. |
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It works well. Still figuring out the best way to use it |
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you can (and should) still use a denoise with the
highres_sigmasyou pass to the node. it will work the same as normal if you're familiar withSamplerCustom.if you're asking how to use a different denoise for each iteration, that's possible too but you'll need to do it via the YAML parameters feature. it's reasonably well documented in the README (you need to expand the section to see it since it's fairly big) and has a few examples but i'll show you a few specifically for that as well. i would recommend reading that section in the README though.
first, you can just define a schedule via YAML parameters rather than passing in
highres_sigmasat all: