🌗 Moon Anima Regional Patcher

A ComfyUI node in MoonNodes with 10 inputs and 3 outputs.

By m0rtus59·Created 3 months ago·Updated about 20 hours ago· 8

◄start_percent0.00►

◄end_percent1.00►

◄base_strength0.80►

◄cross_mask_strength1.00►

◄self_mask_strength0.00►

◄base_ratio0.00►

CategoryMoonNodes

Inputs (10)

Name	Type	Default	Description
model	MODEL		The Anima diffusion model to patch with regional conditioning.
mask_list	MASK		List of spatial masks corresponding to regional prompt zones (Zone 0, Zone 1, ...).
positive_list	CONDITIONING		List of positive conditionings: prompt 0 is base/global, prompts 1..N correspond to regions 0..N-1.
negative_list	CONDITIONING		Negative conditioning applied across the generation.
start_percent	FLOAT	0.000–1	Sampling percentage (0.0–1.0) when regional conditioning starts being applied.
end_percent	FLOAT	1.000–1	Sampling percentage (0.0–1.0) when regional conditioning stops being applied.
base_strength	FLOAT	0.800–1	How much the global base prompt affects regional zones. Higher values blend more shared style/lighting into regions; lower values isolate the regional prompt.
cross_mask_strength	FLOAT	1.000–1	Cross-attention isolation between distinct regions (Zone A vs Zone B). 1.0 blocks bleed-through; lower values allow soft cross-regional influence.
self_mask_strength	FLOAT	0.000–1	Spatial self-attention isolation between regions. 0.0 maintains global scene coherence (shared lighting, perspective); higher values isolate spatial patches.
base_ratio	FLOAT	0.000–1	Direct blend ratio with the un-partitioned base generation. 0.0 is pure regional output. Values > 0 blend in the global base image (runs the model twice per step).