ComfyUI > Nodes > Realtime LoRA Trainer > Wan Model Layer Editor

ComfyUI Node: Wan Model Layer Editor

Class Name

WanModelLayerEditor

Category
model
Author
ShootTheSound (Account age: 1239days)
Extension
Realtime LoRA Trainer
Latest Updated
2025-12-23
Github Stars
0.28K

How to Install Realtime LoRA Trainer

Install this extension via the ComfyUI Manager by searching for Realtime LoRA Trainer
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Realtime LoRA Trainer in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Wan Model Layer Editor Description

WanModelLayerEditor enables per-block control of Wan 2.2 model layers for tailored AI art.

Wan Model Layer Editor:

The WanModelLayerEditor is a powerful tool designed to provide per-block control over the layers of the Wan 2.2 model, which consists of 40 distinct blocks. This node allows you to fine-tune the behavior of each block within the model, offering a high degree of customization and control over the model's performance. By enabling or disabling specific blocks and adjusting their strength, you can tailor the model's output to better suit your creative needs. This flexibility is particularly beneficial for AI artists looking to experiment with different styles or effects, as it allows for precise adjustments to the model's processing at various stages. The node's presets, such as "Default," "All Off," "Half Strength," and "Late Only (30-39)," provide convenient starting points for common configurations, while the "Custom" option allows for personalized settings. Overall, the WanModelLayerEditor is an essential tool for those seeking to harness the full potential of the Wan 2.2 model in their AI art projects.

Wan Model Layer Editor Input Parameters:

enabled

The enabled parameter determines which blocks within the Wan 2.2 model are active during processing. It accepts a list of block identifiers or the keyword "ALL" to enable all blocks. By selecting specific blocks, you can control which parts of the model contribute to the final output, allowing for targeted adjustments and experimentation. The default value is "ALL," meaning all blocks are enabled by default.

strength

The strength parameter controls the intensity of the effect applied by the enabled blocks. It is a floating-point value typically ranging from 0.0 to 1.0, where 0.0 means no effect and 1.0 represents full strength. Adjusting this parameter allows you to fine-tune the influence of the model's layers on the output, providing a way to balance subtlety and impact. The default value is 1.0, indicating full strength.

Wan Model Layer Editor Output Parameters:

modified_model

The modified_model output represents the Wan 2.2 model after the specified blocks have been enabled or disabled and their strengths adjusted. This output is crucial as it reflects the customized state of the model, ready to be used for generating AI art with the desired characteristics. By examining this output, you can assess the impact of your adjustments and make further refinements as needed.

Wan Model Layer Editor Usage Tips:

  • Experiment with different presets to quickly explore various configurations and understand their impact on the model's output.
  • Use the "Custom" preset to create unique combinations of enabled blocks and strengths, allowing for personalized artistic effects.
  • Gradually adjust the strength parameter to find the optimal balance between subtlety and impact for your specific project.

Wan Model Layer Editor Common Errors and Solutions:

"Invalid block identifier"

  • Explanation: This error occurs when a block identifier provided in the enabled parameter does not match any of the available blocks in the Wan 2.2 model.
  • Solution: Ensure that all block identifiers are correctly specified and correspond to the valid block names, such as "block_0" to "block_39" or "other."

"Strength value out of range"

  • Explanation: This error indicates that the strength parameter has been set to a value outside the acceptable range, typically 0.0 to 1.0.
  • Solution: Adjust the strength parameter to a value within the valid range to ensure proper functioning of the node.

Wan Model Layer Editor Related Nodes

Go back to the extension to check out more related nodes.
Realtime LoRA Trainer
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