moss docs

README.md

@@ -17,6 +17,7 @@ Much of the training work here uses **[maltrainer](https://github.com/malcolmama
 | 🎬 **[`h3-center/`](h3-center/)** | **MiniMax-H3 Video & Cinema Hub**<br>Complete prompt guides, RefMod stacking, hybrid LoRA+RefMod containers, identity-LoRA epoch sweeps, 1,500+ character tests, and 9-episode Crossovers cinematic series. | • [Prompting Guide](h3-center/docs/MINIMAX_H3_PROMPTING_GUIDE.md)<br>• [RefMod Stacking Guide](h3-center/docs/MINIMAX_H3_REFMOD_STACKING_AND_MULTISUBJECT_GUIDE.md)<br>• [Hybrid LoRA+RefMod Guide](h3-center/docs/MINIMAX_H3_HYBRID_LORA_REFMOD_CONTAINERS_GUIDE.md)<br>• [Jinx LoRA Epoch Sweep & RefMod Stack](h3-center/docs/lora/README.md)<br>• [Multistacking Benchmark Demos](h3-center/docs/multistacking/README.md)<br>• [Known Characters Usability Index](h3-center/known-characters/INDEX.md)<br>• [Crossovers Cinema Series](h3-center/crossovers/README.md) |
 | 🎨 **[`klein9/`](klein9/)** | **FLUX.2 & Klein 9B RefMods**<br>Instant reference latent adapter ecosystem, custom ComfyUI nodes, CLI batch extractor, and benchmark suites. | • [RefMod Architecture Guide](klein9/docs/FLUX2_KLEIN9_REFMODS_GUIDE.md)<br>• [ComfyUI Node](klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/)<br>• [Batch Extractor Tool](klein9/generate_flux2_klein9_refmod.py)<br>• [Workflows](klein9/workflows/) \| [Visual Benchmarks](klein9/docs/VISUAL_BENCHMARKS_AND_COMPARISONS.md) |
 | 👁️ **[`qwen/`](qwen/)** | **Qwen-Image 2.1 Multimodal Hub**<br>Vision-Language (Qwen3-VL) conditioning architecture, reference strategy analysis, identity transfer, prompt engineering standards, edit samples, and a LoRA optimizer benchmark trained with maltrainer. | • [RefMod Compatibility & ViT Architecture](qwen/docs/QWEN_IMAGE_21_REFMOD_COMPATIBILITY_AND_VISION_ENCODER_ARCHITECTURE.md)<br>• [Reference Strategy & Prompting Guide](qwen/docs/QWEN_IMAGE_21_REFERENCE_STRATEGY_AND_PROMPTING_GUIDE.md)<br>• [LoRA Optimizer Benchmark (maltrainer)](qwen/docs/QWEN_IMAGE_21_LORA_OPTIMIZER_BENCHMARK.md)<br>• [Qwen Hub Overview](qwen/README.md) |
+| 🧪 **[`moss/`](moss/)** | **MOSS-Image LoRA Training**<br>Combined training: one dataset trained with AdamW 8-bit, Automagic3 and Prodigy at short lengths, merged into one LoRA soup and resized to rank 8. Trained with maltrainer. | • [Combined Optimizer Training Guide](moss/docs/MOSS_IMAGE_COMBINED_OPTIMIZER_TRAINING_GUIDE.md)<br>• [Member Templates](moss/templates/) (AdamW 8-bit, Automagic3, Prodigy) |
 | ⚡ **[`zimage-turbo-vs-base-training/`](zimage-turbo-vs-base-training/)** | **Z Image Base vs. Turbo Benchmark**<br>Head-to-head training comparison across OneTrainer, MalTrainer, and AI Toolkit with datasets and weights. | • [Benchmark Overview & Configs](zimage-turbo-vs-base-training/README.md)<br>• Datasets, AdamW/Prodigy configs, & `.safetensors` weights |
 | 🛠️ **[`training-scripts/`](training-scripts/)** | **Production Training Configs**<br>Ready-to-use recipes for OneTrainer, Musubi Tuner, AI Toolkit, and MalTrainer. | • [OneTrainer Templates](training-scripts/onetrainer/) (Ernie, FK9, Krea2, SDXL, Z-Image)<br>• [Musubi Pipelines](training-scripts/musubi/) (Ernie, LTX23)<br>• [AI Toolkit](training-scripts/aitoolkit/) (FK9, Ideogram 4, WAN, Z-Image)<br>• [MalTrainer](training-scripts/maltrainer/) (Qwen-Image 2.1, Z-Image) |
 | 🎥 **Sample Media & Benchmarks** | **Model Generation Sample Libraries**<br>High-fidelity outputs and verification test suites. | • [`ltx23-samples/`](ltx23-samples/) (20 LTX-Video 2.3 renders)<br>• [`ernie-samples/`](ernie-samples/) (`ernie-samples.zip`)<br>• [`samples/fk9/`](samples/fk9/) (Rose Byrne & Sydney Sweeney outputs)<br>• [`qwen/samples/edit/`](qwen/samples/edit/) (11 Qwen-Image 2.1 character edits) |