AnimaLLLiteApply - ComfyUI Built-in Node Documentation - ComfyUI

AnimaLLLiteApply applies a lightweight animation patch to a diffusion model, enabling controlled image-to-image generation with adjustable strength and timing. It integrates a pre-configured model patch with an input image and optional mask, modifying the model’s attention and MLP layers to influence the generation process.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The base diffusion model to apply the patch to	MODEL	Yes
`model_patch`	The pre-configured animation patch to apply	MODEL_PATCH	Yes
`image`	The reference image to guide the generation. Only the first 3 color channels (RGB) are used	IMAGE	Yes
`strength`	The strength of the patch effect (default: 1.0)	FLOAT	Yes	-10.0 to 10.0
`start_percent`	The percentage of the denoising process at which the patch starts taking effect (default: 0.0)	FLOAT	Yes	0.0 to 1.0
`end_percent`	The percentage of the denoising process at which the patch stops taking effect (default: 1.0)	FLOAT	Yes	0.0 to 1.0
`mask`	An optional mask to limit the patch effect to specific areas of the image	MASK	No

Note on parameter constraints: If the model_patch has 4 input channels and no mask is provided, a zero mask is automatically created to match the image dimensions. If the model_patch does not have 4 input channels, the mask parameter is ignored and set to None. This node is marked as experimental in ComfyUI.

Outputs

Output Name	Description	Data Type
`MODEL`	The patched diffusion model with the animation patch applied	MODEL

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 48e455b767509a5a8c329365d5ffded86d6f4545d575c9fdc5ffbaf4da7c2287