From 8dabc734f035bb7c1c5e113d12f859d0caa2ffee Mon Sep 17 00:00:00 2001 From: cmeka Date: Tue, 21 Oct 2025 16:50:05 -0400 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 05ca0aa..43c3f42 100644 --- a/README.md +++ b/README.md @@ -65,7 +65,7 @@ The **WanMoEScheduler** provides advanced sigma calculation for two-stage sampli #### Input Parameters -- **`model`**: The model used for sigma calculations. +- **`model`**: The model used for sigma calculations (can be either high or low, same result). - **`scheduler`**: The sampling scheduler to use (the list is filtered to show only compatible schedulers). - **`steps_high`**: The desired number of steps for the high-noise sampling stage (default: 4). - **`steps_low`**: The desired number of steps for the low-noise sampling stage (default: 4). @@ -121,7 +121,7 @@ You can further divide the sampling process. For example, to split the high-nois This method is common for standard two-pass workflows. -1. Connect your model to the **WanMoEScheduler** node. +1. Connect your model (high or low) to the **WanMoEScheduler** node. 2. Connect the **`shift`** output to the **ModelSamplingSD3** nodes (high and low) 3. In your **first KSampler (Advanced)** node (for the high-noise stage): - Connect **`steps_total`** to the `steps` input.