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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 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

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