From 9e2b4dc8a04f628920a8d8e9be972f4c8dd29c50 Mon Sep 17 00:00:00 2001 From: kohya-ss <52813779+kohya-ss@users.noreply.github.com> Date: Sun, 8 Feb 2026 10:56:34 +0900 Subject: [PATCH] fix: update default value for --discrete_flow_shift in anima training guide --- docs/anima_train_network.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/anima_train_network.md b/docs/anima_train_network.md index fe6b2354..7cd30e26 100644 --- a/docs/anima_train_network.md +++ b/docs/anima_train_network.md @@ -118,7 +118,7 @@ accelerate launch --num_cpu_threads_per_process 1 anima_train_network.py \ --optimizer_type="AdamW8bit" \ --lr_scheduler="constant" \ --timestep_sample_method="logit_normal" \ - --discrete_flow_shift=3.0 \ + --discrete_flow_shift=1.0 \ --max_train_epochs=10 \ --save_every_n_epochs=1 \ --mixed_precision="bf16" \ @@ -162,7 +162,7 @@ Besides the arguments explained in the [train_network.py guide](train_network.md * `--timestep_sample_method=` - Timestep sampling method. Choose from `logit_normal` (default) or `uniform`. * `--discrete_flow_shift=` - - Shift for the timestep distribution in Rectified Flow training. Default `3.0`. The shift formula is `t_shifted = (t * shift) / (1 + (shift - 1) * t)`. + - Shift for the timestep distribution in Rectified Flow training. Default `1.0`. The shift formula is `t_shifted = (t * shift) / (1 + (shift - 1) * t)`. 1.0 means no shift. * `--sigmoid_scale=` - Scale factor for `logit_normal` timestep sampling. Default `1.0`. * `--qwen3_max_token_length=`