Update README.md

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cmeka
2025-10-21 16:50:05 -04:00
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@@ -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.