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WanModelLayerEditor enables per-block control of Wan 2.2 model layers for tailored AI art.
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.
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.
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.
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.
strength parameter to find the optimal balance between subtlety and impact for your specific project.enabled parameter does not match any of the available blocks in the Wan 2.2 model.strength parameter has been set to a value outside the acceptable range, typically 0.0 to 1.0.strength parameter to a value within the valid range to ensure proper functioning of the node.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.