How V2.0 8-steps version was made：This is an 8-step version of my moss_pussy_lora_v2.0, re-distilled so the fast sampler matches the full 50-step look.<ul><li>Teacher: MOSS-Image-Base with my v2.0 face + pussy LoRAs merged at 1.0, sampled at 50 steps, CFG 3, with skip-layer guidance on block 22.</li><li>Student: initialized from lodestones' 8-step DMD2 LoRA, then trained with DMD2 distribution matching for 300 student updates on ~640 images from my dataset. Built on NVIDIA's open-source <code>modelopt.torch.fastgen</code> DMD implementation.</li><li>Use: MOSS-Image-Base, 8 steps, CFG 1, euler / simple scheduler (the schedule it was distilled on).</li></ul>Credits: Huge thanks to lodestones for the original 8-step DMD/DMD2 LoRAs (<a target="_blank" rel="ugc" href="https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd">MOSS-Image-Base-8-steps-dmd</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/lodestones/Kromoss">Kromoss</a>), which this is fine-tuned from, to NVIDIA for the open DMD2 code in <a target="_blank" rel="ugc" href="https://github.com/NVIDIA/Model-Optimizer">Model-Optimizer</a>. V2.0 added more sex scenes V2.0 face + pussy merged <span style="background-color:rgb(37, 38, 43);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:14px">moss_face_regface_v2.safetensors to V2.0 workflow.json attached Check this post (<a target="_blank" rel="ugc" href="https://civarchive.com/posts/31908504">https://civarchive.com/posts/31908504</a>) for sex scenes prompts. This LoRA was trained on MOSS-Image-Base and can also be used with MOSS-Image-SFT, but I find that the base model produces better results. Lora strength: 1.0 Steps: 25 or 50 CFG: 3 or 4 Sampler: euler or er_sde Scheduler: Simple or Beta Resolution: 1024x1536 or 1536x1024 Only Asian female in the dataset！ pussy lora for MOSS image

Moss Image - Better Nude

moss_pussy_lora_v1.0.safetensors

Files with SHA256: 3053597f5db0fe99c190a3fa02aeeb83362f07bd8fb2f0f7ee65e52fe357b5d7