Skip to main content
The Context Windows (Manual) node allows you to manually configure context windows for a model during sampling, creating overlapping context segments with a specified length, overlap, and scheduling pattern so data is processed in manageable chunks while maintaining continuity between segments. It provides advanced options for controlling how context windows are applied, including noise shuffling, conditioning retention, and causal window fixes. This node is experimental.

Inputs

Parameter Constraints:
  • context_stride is only used when a uniform schedule is selected (UNIFORM_STANDARD or UNIFORM_LOOPED).
  • closed_loop is only applicable to looped schedules (UNIFORM_LOOPED).
  • dim must be between 0 and 5 inclusive.
  • cond_retain_index_list and latent_retain_index_list expect a comma-separated list of integer indices as a string (e.g., “0,1,2”).
  • latent_retain_index_list is independent of cond_retain_index_list.

Outputs

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): 39dc39ece3d3c10c13ca8c4b85af4fbbebbcaba8a019145a6d4727c3df7b302b