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Node to disable guidance embeddings in Flux models, allowing users to explore model behaviors without interference.
The FluxGuidanceDisable
node is designed to modify the behavior of models that utilize guidance embeddings, specifically within the context of Flux and similar models. Its primary function is to provide users with the ability to disable the guidance embedding feature, which can be crucial for certain artistic or experimental applications where guidance might interfere with the desired output. By offering a straightforward mechanism to toggle this feature, the node empowers users to explore different model behaviors and outcomes. Additionally, it includes an option to adjust the zero_clip_L
parameter, which can further influence the model's processing by altering how certain layers are handled during the forward pass. This node is particularly beneficial for users looking to experiment with model outputs without the influence of guidance, thereby gaining more control over the creative process.
The model
parameter represents the model instance that you wish to modify. It is essential as it serves as the base upon which the guidance disabling and other modifications will be applied. This parameter does not have a default value as it requires a specific model instance to function.
The disable
parameter is a boolean option that determines whether the guidance embedding should be disabled. By default, this is set to True
, meaning the guidance embedding will be turned off. Setting it to False
will keep the guidance embedding active. This parameter allows you to control the influence of guidance on the model's output, providing flexibility in how the model processes inputs.
The zero_clip_L
parameter is another boolean option, defaulting to True
, which affects the handling of certain layers during the model's forward pass. When enabled, it modifies the forward function to potentially zero out specific components, which can alter the model's behavior and output. This parameter is useful for users who want to experiment with different layer configurations and their impact on the model's performance.
The model
output parameter returns the modified model instance. This model reflects any changes made based on the input parameters, such as the disabling of guidance embedding or adjustments to the forward pass. The output model can then be used in subsequent processes or evaluations, allowing you to observe the effects of the modifications.
disable
parameter is set to True
. This can help in understanding how much the guidance influences the model's behavior.zero_clip_L
parameter to see how altering the forward pass affects the model's performance. This can be particularly useful for advanced users looking to fine-tune model behavior for specific tasks.diffusion_model
attribute, which is necessary for the node to function correctly.FluxGuidanceDisable
node and contains the diffusion_model
attribute. Verify that the model is correctly instantiated and passed to the node.Flux.forward
method is not properly set or if the model's forward method is incorrectly modified.zero_clip_L
parameter is correctly set and that the model's forward method is appropriately configured. Ensure that the model is correctly cloned and that the forward method is properly assigned.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.