MOSSKVA — MOSS-Image SFT Merge (INT8 ConvRot). ADVANCED HANDCRAFTED MERGE based on MOSS-Image SFT (5B DiT — Diffusion Transformer with Flow Matching), blending three specialized LoRAs for anatomy and raw amateur realism. MERGE RECIPE (calibrated to avoid overbaking): MysticXXX Moss V1 (NSFW &amp; Anatomy) 0.60 | Lenovo Moss (Primary Amateur Photorealism) 0.50 | NiceGirls V2 Moss (Secondary Photorealism) 0.30. FEATURES: Hyper-realistic skin texture eliminating the plastic 3D render look — Natural amateur lighting: smartphone flash, low light, authentic colors — Uncensored anatomical understanding without forcing explicit content — Keeps casual dressed portrait capability. QUANTIZATION (INT8 ConvRot — 5.04 GB): TensorWiseINT8Layout with regular Hadamard ConvRot rotation (group 256) — Fidelity: practically identical to the original BF16 (10.05 GB), CosSim = 0.9933 — Direct GPU quantization using native ComfyUI/comfy-kitchen layouts. REQUIRED FILES IN COMFYUI: Text Encoder (models/text_encoders/): qwen3.5_9b_w4a8_gptq.safetensors (CLIPLoader, type: moss_image) — VAE (models/vae/): flux2-vae.safetensors (VAELoader to VAEDecode) — Empty Latent: EmptyFlux2LatentImage (channels=128, downscale=16x). RECOMMENDED SETTINGS (Standard SFT): Steps 30-50 (ideal 35) — CFG Scale 3.0-4.0 (default 3.0) — Sampler: euler or dpmpp_2m_sde — Scheduler: sgm_uniform or beta — Resolution 1024x1024 / 896x1152 — Model Sampling Shift 5.0 (AuraFlow / Flow) — Average time on RTX 5060 Ti: 8-15 sec per image. PROMPT TRIGGERS FOR AMATEUR REALISM: "candid amateur phone photo, casual selfie taken with an iPhone/Samsung" — "dim room lighting, direct flash photography, authentic harsh shadows" — "natural uneven skin texture, subtle skin imperfections, visible pores, no makeup" — "spontaneous pose, slightly grainy film look, messy background, candid snapshot". AVOID in positive prompt: masterpiece, 8k, hyperrealistic, octane render, flawless skin, cinematic lighting (forces artificial smooth video-game skin). VERSIONS: mosskva 1.0 (INT8 ConvRot, this version, 5.04 GB) — mosskva 1.0 (W6A8 ConvRot, 4.21 GB) — mosskva 1.0 (NVFP4 Hybrid, 4.20 GB). Additional Turbo DMD2 versions (8 steps, CFG 1.0) also available in this series. LICENSE: allows use without credit, allows sharing merges, allows different licenses on merges. Commercial use allowed. Not intended to depict actual persons.

mosskva

WHAT THIS VERSION IS:mosskva nvfp4 is the NVFP4 Hybrid quantized variant (4.20 GB) of the mosskva 1.0 Standard SFT merge, built on MOSS-Image SFT (5B DiT with Flow Matching). It uses a HYBRID quantization layout: TensorCoreNVFP4Layout (E2M1 with MSE-optimal block scales) on early blocks (1-20) with low dynamic range, plus TensorWiseINT8Layout (ConvRot 256) on input block (0), intermediate output projections, and late blocks (21-41) where MOSS-Image activations peak. This hybrid design eliminates the patchy artifacts of pure NVFP4 while preserving fine texture integrity. Cosine similarity to INT8 ConvRot reference: 0.974+. File: moss_image_sft_mystic_lenovo_nicegirls_nvfp4.safetensors (4.20 GB).⚡ OPTIMIZED FOR RTX 50-SERIES (BLACKWELL):This version leverages native Tensor Core FP4 (E2M1) execution on NVIDIA Blackwell architecture (RTX 50-series). The NVFP4Layout uses hardware-accelerated FP4 tensor cores with MSE-optimized block scales — delivering maximum throughput on RTX 5060/5070/5080/5090. On pre-Blackwell GPUs (RTX 30/40 series), it falls back to emulated FP4 via INT8 kernels with slight overhead. For RTX 50xx users, this is the RECOMMENDED Standard SFT variant — smallest size (4.20 GB), fastest inference, native hardware support.HOW TO LOAD IN COMFYUI:- Loader: UNETLoader (standard) — loads the .safetensors directly as a checkpoint- Text Encoder: qwen3.5_9b_w4a8_gptq.safetensors (models/text_encoders/) via CLIPLoader with type="moss_image"- VAE: flux2-vae.safetensors (models/vae/) via VAELoader- Latent: EmptyFlux2LatentImage (channels=128, downscale=16x)MERGE RECIPE (fused in Float32 over BF16 base, then GPU-quantized to NVFP4 Hybrid):- MysticXXX Moss V1 (NSFW &amp; Anatomy): strength 0.60- Lenovo Moss (Amateur Photorealism): strength 0.50- NiceGirls V2 Moss (Secondary Photorealism): strength 0.30STANDARD SFT SETTINGS (30-50 steps, CFG 3.0-4.0):- Steps: 30-50 (ideal 35)- CFG: 3.0-4.0 (default 3.0)- Sampler: euler or dpmpp_2m_sde- Scheduler: sgm_uniform or beta- Resolution: 1024x1024 / 896x1152- ModelSampling Shift: 5.0 (AuraFlow / Flow)- Avg time: ~8-15s/image (RTX 5060 Ti), FASTER on RTX 50-series via native FP4 tensor coresQUANTIZATION TECHNICAL DETAILS:- Layout: Hybrid TensorCoreNVFP4Layout (blocks 1-20) + TensorWiseINT8Layout ConvRot 256 (blocks 0, 21-41, intermediate projections)- Quantization: Per-block MSE-optimal scale search on NVFP4 blocks; per-group MSE (group 16) on INT8 ConvRot blocks- File: moss_image_sft_mystic_lenovo_nicegirls_nvfp4.safetensors (4.20 GB)- Requires: qwen3.5_9b_w4a8_gptq.safetensors (text encoder), flux2-vae.safetensors (VAE)TRIGGER WORDS (recommended):candid amateur phone photo, smartphone photo, direct flash, authentic harsh shadows, natural uneven skin texture, subtle skin imperfections, visible pores, no makeup, spontaneous pose, slightly grainy, messy background, candid snapshotIMPORTANT: Do NOT use words like "masterpiece, 8k, hyperrealistic, octane render, flawless skin, cinematic lighting" — these force artificial smooth skin and defeat the amateur realism aesthetic.

Files with SHA256: b2d8e47693517b1d8c6acbc3f10a2564fe74bbe4b943516870f0a2dec5e6d5be