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This node improves the spatial detail and motion coherence of LTXV video generation by running one extra pass at each sampling step. During this pass, the self-attention of the selected transformer blocks is degraded to a value-passthrough, and the generation is guided away from that degraded result.

Inputs

Note: Guidance is only applied during the sampling interval between start_percent and end_percent. Outside that interval, the original denoised result is returned unchanged. If scale is 0 or blocks contains no numeric values, the guided pass has no effect on the sampling process.

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): 0e14137b3bf416d36005b6b4b6db46495b1523f88b2bf574e2dc582175422a48