SelfAttentionGuidance - ComfyUI Built-in Node Documentation

Complete documentation for the SelfAttentionGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The Self-Attention Guidance node applies guidance to diffusion models by modifying the attention mechanism during the sampling process. It captures attention scores from unconditional denoising steps and uses them to create blurred guidance maps that influence the final output. This technique helps guide the generation process by leveraging the model’s own attention patterns.

Inputs

Parameter	Data Type	Required	Range	Description
model	MODEL	Yes	-	The diffusion model to apply self-attention guidance to
scale	FLOAT	No	-2.0 to 5.0	The strength of the self-attention guidance effect (default: 0.5)
blur_sigma	FLOAT	No	0.0 to 10.0	The amount of blur applied to create the guidance map (default: 2.0)

Outputs

Output Name	Data Type	Description
model	MODEL	The modified model with self-attention guidance applied

Note: This node is currently experimental and has limitations with chunked batches. It can only save attention scores from one UNet call and may not work properly with larger batch sizes.