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@@ -12,9 +12,9 @@ LoRas trained on Noob 1.0 should still work adequately on this merge. If trainin
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Generally safe settings are ~4 CFG (higher than 4 can become noticably too saturated without rescale), Euler A, and Normal scheduler.
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I reccomend using an up-to-date
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Alternatively I reccomend using an up-to-date ComfyUI. As of https://github.com/comfyanonymous/ComfyUI/commit/8b275ce5be29ff7d847c3c4c2f3fea1faa68e07b ComfyUI will also automatically detect that the model is V-Prediction/ZSNR and set it for you.
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If for some reason the autodetection doesn't work or you are on an older ComfyUI, use the ModelSamplingDiscrete node to set V-Prediction and ZSNR.
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[Old]
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Generally safe settings are ~4 CFG (higher than 4 can become noticably too saturated without rescale), Euler A, and Normal scheduler.
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I reccomend using an up-to-date ComfyUI. As of https://github.com/comfyanonymous/ComfyUI/commit/8b275ce5be29ff7d847c3c4c2f3fea1faa68e07b ComfyUI will also automatically detect that the model is V-Prediction/ZSNR and set it for you.
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If for some reason the autodetection doesn't work or you are on an older ComfyUI, use the ModelSamplingDiscrete node to set V-Prediction and ZSNR.
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Alternatively your option is an up-to-date Forge/ReForge as they automatically detect the `vpred` and `tznsr` key I've added to the state_dict of both models and inference as V-Prediction/ZSNR. Forge currently doesn't have a RescaleCFG extension built in, but ReForge does. However I have included a backport of RescaleCFG for Forge in this repo that may work unless the code has changed since creating it. Extract it into extensions-builtin.
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[Old]
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