# ComfyUI-Spectrum-MOSS **Repository Path**: zuoch/ComfyUI-Spectrum-MOSS ## Basic Information - **Project Name**: ComfyUI-Spectrum-MOSS - **Description**: No description available - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-11-04 - **Last Updated**: 2026-11-05 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ComfyUI-Spectrum-MOSS Spectrum-style hidden-state forecasting ComfyUI node for **MOSS-Image**. vibe-coded This build contains two nodes: - **Spectrum MOSS-Image (Manual)** - Manually choose forecast steps after warmup - **Spectrum MOSS-Image (Adaptive)** - Experimental node. It will try to adapt the forecast steps with forecast error estimation to maintain quality. Speed may vary. Default (adaptive) scheduling behavior: 1. First (warmup) steps are actual transformer evaluations. 2. The next few steps (detail_guard) allow at most 1 forecast between actual refreshes. 3. After the guard, the scheduler can expand the forecast horizon up to the configured cap (post_guard_cap). 4. The final (tail) steps are actual evaluations. ## Recommended settings OpenMOSS official suggestion: 50 steps / Euler + sgm_uniform Comfy-Org template: 25 steps / er_sde + simple - er_sde is supported through a solver bridge. Max_consecutive_forecasts = 1 is the recommended setting for this sampler. Adaptive node will force post_guard_horizon_forecast =< 2 when er_sde is detected. - If you use SkipLayerGuidance, set start & end to 0.000-1.000. Partial ranges like 0.000-0.500 will make Spectrum relearn at the transition, so there may be fewer forecast steps. - Other schedulers should run. Other samplers may not run well. Speed gain is about 2x - 2.5x with the default setup. Default settings are on the safer side. If you want more speed, increase max_consecutive_forecasts and/or reduce warmup_steps/tail_actual_steps. Detail_guard allows at most 1 forecast during this window. Higher error_tolerance allows more room for error after guard steps. Both values may affect speed. ## Examples

## Credits Spectrum method / paper: - **Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration** — arXiv:2603.01623 - Official implementation: https://github.com/hanjq17/Spectrum - https://github.com/xmarre/ComfyUI-Spectrum-MiniMax-H3 (solver-space ER-SDE bridge approach) ## License GPL-3.0-only. See `LICENSE`. SPDX-License-Identifier: GPL-3.0-only