HaDeS MOSS Suite

ComfyUI nodes for the MOSS-Image model family (OpenMOSS / Comfy Org: 42-layer single-stream DiT, Qwen3.5-9B text encoder, FLUX.2 VAE), in the style of the HaDeS Anima Suite.

Claims about what layer groups do are measured with tools/moss_eval.py, not assumed.

Turbo (0.2.0, Turbo 8-steps in 0.3.0): few-step LoRAs we trained for MOSS-Image SFT, HaDeS MOSS Turbo and Turbo Diverse (4 steps at CFG 1, 3.4 MB each), joined by Turbo 8-steps v0.7 (8 steps), and a turbo input on MOSS KSampler that applies them with their settings. How they were trained and measured: tools/RESULTS.md, tools/moss_dmd_train.py.

New in 0.4.0: MOSS Loader (model, text encoder and VAE in one node), MOSS Multi-LoRA (any number of LoRAs, searchable picker, strength per layer group), MOSS Prompt Enhancer (writes a caption or a…