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README.md
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@@ -58,7 +58,7 @@ The goal with these boring reality trained loras is to not only bring out better
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**Update 08/21**
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I am still exploring new ways to train this model/dataset. For the timebeing, the faded dot issue remains in these LoRAs as these older models have performed a better job of learning the concept than any of the subsequent runs I have done.
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The new Schnell version may be released before updating this Dev model.
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I will try to seperate models going forward, though it is not the best strategy when you need to manually choose between undertrained/overtrained LoRAs on top of their strength for each image.
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**Update 08/21**
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59 |
I am still exploring new ways to train this model/dataset. For the timebeing, the faded dot issue remains in these LoRAs as these older models have performed a better job of learning the concept than any of the subsequent runs I have done.
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The new Schnell version may be released before updating this Dev model.
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To simplify use of the model, I removed the 400 steps weights to help with resolve issues. If necesary I will add the 400 steps as a seperate model, though you can probably get a slightly similar result reducing the strength of the 1000 steps version.
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I will try to seperate models going forward, though it is not the best strategy when you need to manually choose between undertrained/overtrained LoRAs on top of their strength for each image.
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