ai-toolkit/toolkit/timestep_weighing/default_weighing_scheme.py

# these weights were calculated using flex.1-alpha. A similar weighing scheme has been seen with other flowmatch models as well.

default_weighing_scheme = [
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# x0 (x-prediction) weights, extracted from the learned LossScaler table (scale_loss.ema) of
# /mnt/Data/train/out/ui/ostris_o1_te/ostris_o1_te_000007250.safetensors. weight(t) = ema(t=1) / ema(t),
# so full noise is 1.0 and low-noise timesteps are lifted to the same expected loss. Index 0 = timestep 1000.

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