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Enhances diffusion model guidance by skipping layers for improved attention control and detailed image generation.
The SkipLayerGuidanceDiT
node is designed to enhance the guidance of diffusion models by strategically skipping certain layers during the generation process. This approach is inspired by the concept of Perturbed Attention Guidance, which aims to improve the model's ability to focus on detailed structures within the generated images. By skipping specific layers, the node allows for a more refined control over the model's attention, potentially leading to more detailed and accurate outputs. This method is particularly useful for artists and creators who wish to achieve a higher level of detail and precision in their AI-generated artworks. The node is experimental and offers a generic implementation that can be applied to various DiT models, making it a versatile tool in the realm of advanced guidance techniques.
The model
parameter specifies the diffusion model to be used with the SkipLayerGuidanceDiT
node. This parameter is crucial as it determines the base model that will undergo the layer-skipping process. The model should be compatible with the DiT framework to ensure proper functionality.
The double_layers
parameter is a string that lists the layers to be skipped during the guidance process. These layers are specified as comma-separated integers, indicating their positions within the model. The default value is "7, 8, 9", and this parameter allows you to control which layers are bypassed to enhance the model's focus on specific details.
The single_layers
parameter functions similarly to double_layers
, specifying another set of layers to be skipped. This provides additional flexibility in controlling the model's attention and can be used in conjunction with double_layers
to fine-tune the guidance process. The default value is also "7, 8, 9".
The scale
parameter is a float that adjusts the intensity of the guidance process. It ranges from 0.0 to 10.0, with a default value of 3.0. This parameter influences how strongly the skipped layers affect the model's output, allowing you to balance between subtle and pronounced guidance effects.
The start_percent
parameter is a float that defines the starting point of the layer-skipping process as a percentage of the total generation process. It ranges from 0.0 to 1.0, with a default value of 0.01. This parameter helps in determining when the skipping should begin, providing control over the timing of the guidance.
The end_percent
parameter is a float that sets the endpoint of the layer-skipping process, also as a percentage of the total generation process. It ranges from 0.0 to 1.0, with a default value of 0.15. This parameter, in conjunction with start_percent
, defines the duration of the layer-skipping effect.
The rescaling_scale
parameter is a float that adjusts the rescaling of the guidance effect. It ranges from 0.0 to 10.0, with a default value of 0.0. This parameter allows for additional fine-tuning of the guidance intensity, providing another layer of control over the model's output.
The output of the SkipLayerGuidanceDiT
node is a modified MODEL
that has undergone the layer-skipping process. This output model is expected to have enhanced guidance capabilities, allowing for more detailed and precise generation of images. The modifications made by the node aim to improve the model's attention to specific structures, resulting in outputs that better align with the desired artistic vision.
double_layers
and single_layers
to find the optimal layer-skipping strategy for your specific model and artistic goals.scale
parameter to control the intensity of the guidance effect. A higher scale may result in more pronounced details, while a lower scale can produce subtler effects.start_percent
and end_percent
parameters to fine-tune the timing of the layer-skipping process, ensuring that the guidance effect is applied at the most impactful stages of the generation process.double_layers
or single_layers
are not in the correct comma-separated integer format.SkipLayerGuidanceDiT
node.scale
parameter is set outside the allowed range of 0.0 to 10.0.scale
parameter to fall within the specified range to ensure proper functionality.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.