Two new output pairs between seed and loss_graph:
- high_pass_sampler (SAMPLER) + high_pass_sigmas (SIGMAS)
- low_pass_sampler (SAMPLER) + low_pass_sigmas (SIGMAS)
Sampler tab in popup: per-pass selection of Hybrid Euler 2S, Distilled
Flow, or KSampler (standard ComfyUI fallback). Each type shows its own
settings fields. Motion pulse and velocity bias sections collapse when
mode is "off". Sigmas entered as comma-separated floats; empty means
rely on external sigmas input.
Python: _build_one_sampler() and _build_samplers() class methods handle
the instantiation and sigma parsing. Each sampler is built from the
same get_sampler() call as the standalone node.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
