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Documentation Index

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The PerturbedAttentionGuidance node applies perturbed attention guidance to a diffusion model to enhance generation quality. It modifies the model’s self-attention mechanism during sampling by replacing it with a simplified version that focuses on value projections. This technique helps improve the coherence and quality of generated images by adjusting the conditional denoising process.

Inputs

ParameterData TypeRequiredRangeDescription
modelMODELYes-The diffusion model to apply perturbed attention guidance to
scaleFLOATNo0.0 - 100.0The strength of the perturbed attention guidance effect (default: 3.0). When set to 0, the node has no effect and returns the original denoised result.

Outputs

Output NameData TypeDescription
modelMODELThe modified model with perturbed attention guidance applied

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