Update README.md
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@@ -65,7 +65,7 @@ The **WanMoEScheduler** provides advanced sigma calculation for two-stage sampli
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#### Input Parameters
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- **`model`**: The model used for sigma calculations.
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- **`model`**: The model used for sigma calculations (can be either high or low, same result).
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- **`scheduler`**: The sampling scheduler to use (the list is filtered to show only compatible schedulers).
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- **`steps_high`**: The desired number of steps for the high-noise sampling stage (default: 4).
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- **`steps_low`**: The desired number of steps for the low-noise sampling stage (default: 4).
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@@ -121,7 +121,7 @@ You can further divide the sampling process. For example, to split the high-nois
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This method is common for standard two-pass workflows.
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1. Connect your model to the **WanMoEScheduler** node.
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1. Connect your model (high or low) to the **WanMoEScheduler** node.
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2. Connect the **`shift`** output to the **ModelSamplingSD3** nodes (high and low)
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3. In your **first KSampler (Advanced)** node (for the high-noise stage):
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- Connect **`steps_total`** to the `steps` input.
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