Description4-step MOSS-Image in 3.4 MB. Two few-step LoRAs for MOSS-Image SFT, trained from zero: 4 steps at CFG 1 instead of 25 steps at CFG 2.5.- Turbo: the most robust on text (layout JSON 6 / 6, a 16:9 three-line poster 3 / 3 in our tests).- Turbo Diverse: keeps more of SFT's own variety on open prompts (faces, poses, props).Settings: 4 steps · CFG 1 · euler / simple · strength 1.0. These are the only settings we measured.Easiest in ComfyUI: install HaDeS MOSS Suite 0.2.1 from the ComfyUI Manager, plug a MOSS Turbo LoRA node into the turbo input of MOSS KSampler, and it applies the LoRA with those settings for you. The suite ships a ready Turbo example workflow. Stock nodes work too: <code>LoraLoaderModelOnly</code> + <code>KSampler</code> with the settings above.Measured, not guessed. Every number (text accuracy, layout, 2048 x 2048, aspect ratios, seed variety, ethnic spread on open prompts) is in the model card and in the suite's <code>RESULTS.md</code>, including where the LoRAs fall short (small text at 2048 x 2048).- Hugging Face (files, model card, full measurements): <a target="_blank" rel="ugc" href="https://huggingface.co/DeVilDoNia/HaDeS-MOSS-Turbo">https://huggingface.co/DeVilDoNia/HaDeS-MOSS-Turbo</a>- HaDeS MOSS Suite (nodes, training script, every test): <a target="_blank" rel="ugc" href="https://github.com/Devildonia/HaDeS-MOSS-Suite">https://github.com/Devildonia/HaDeS-MOSS-Suite</a>Not tested: other base models (Base, finetunes, merges), other strengths or step counts, img2img quality.Credits: trained from MOSS-Image SFT by the OpenMOSS Team (Apache 2.0); the DMD training recipe follows akhaliq's MOSS-Image-SFT-4-steps (Apache 2.0), none of its weights used.HaDeS

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