ContextWindowsManual - ComfyUI Built-in Node Documentation

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

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The Context Windows (Manual) node allows you to manually configure context windows for models during sampling. It creates overlapping context segments with specified length, overlap, and scheduling patterns to process data in manageable chunks while maintaining continuity between segments. This node provides advanced options for controlling how context windows are applied, including noise shuffling, conditioning retention, and causal window fixes.

Inputs

Parameter	Data Type	Required	Range	Description
model	MODEL	Yes	-	The model to apply context windows to during sampling.
context_length	INT	No	1+	The length of the context window (default: 16).
context_overlap	INT	No	0+	The overlap of the context window (default: 4).
context_schedule	COMBO	No	STATIC_STANDARD UNIFORM_STANDARD UNIFORM_LOOPED BATCHED	The stride of the context window.
context_stride	INT	No	1+	The stride of the context window; only applicable to uniform schedules (default: 1).
closed_loop	BOOLEAN	No	-	Whether to close the context window loop; only applicable to looped schedules (default: False).
fuse_method	COMBO	No	PYRAMID LIST_STATIC	The method to use to fuse the context windows (default: PYRAMID).
dim	INT	No	0-5	The dimension to apply the context windows to (default: 0).
freenoise	BOOLEAN	No	-	Whether to apply FreeNoise noise shuffling, improves window blending (default: False).
cond_retain_index_list	STRING	No	-	List of latent indices to retain in the conditioning tensors for each window, for example setting this to ‘0’ will use the initial start image for each window (default: "").
split_conds_to_windows	BOOLEAN	No	-	Whether to split multiple conditionings (created by ConditionCombine) to each window based on region index (default: False).
causal_window_fix	BOOLEAN	No	-	Whether to add a causal fix frame to non-0-indexed context windows (default: True).

Parameter Constraints:

• context_stride is only used when uniform schedules are selected
• closed_loop is only applicable to looped schedules
• dim must be between 0 and 5 inclusive
• cond_retain_index_list expects a comma-separated list of integer indices as a string (e.g., “0,1,2”)

Outputs

Output Name	Data Type	Description
model	MODEL	The model with context windows applied during sampling.

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