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 w6a8 turbo dmd2 is a W6A8 quantized variant (4.21 GB) of the mosskva 1.0 Turbo DMD2 merge, built on MOSS-Image SFT (5B DiT with Flow Matching). It uses AsymW4A8Int8Layout in 6-bit mode (w6a8_int8) with 256-channel Hadamard ConvRot rotation, per-group MSE-optimal scale search (group size 16), and INT8 activations. Cosine similarity to the INT8 Turbo DMD2 reference is 0.9829 — virtually indistinguishable while saving ~850 MB VRAM. This version is DISTILLED via DMD2 (8-step) for ultra-fast generation at CFG 1.0.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 W6A8 ConvRot):- MysticXXX Moss V1 (NSFW &amp; Anatomy): strength 0.60- Lenovo Moss (Amateur Photorealism): strength 0.50- NiceGirls V2 Moss (Secondary Photorealism): strength 0.30- 8-Steps DMD2 LoRA (Flow distillation): strength 1.00TURBO DMD2 SPECIFIC SETTINGS (8 steps, CFG 1.0 — negative prompt ignored):- Steps: 6-10 (ideal 8)- CFG: 1.0 (MANDATORY — negative prompt is NOT processed)- Sampler: euler or dpmpp_sde- Scheduler: sgm_uniform or simple- Resolution: 1024x1024 / 896x1152- ModelSampling Shift: 3.0-5.0- Avg time: ~2-3s/image (RTX 5060 Ti)ADVANTAGES VS INT8 TURBO DMD2 (5.04 GB):- ~850 MB smaller (4.21 GB vs 5.04 GB) — fits in tighter VRAM budgets- CosSim 0.9829 — visual quality virtually identical to INT8 Turbo- Faster load times, lower bandwidthTRADE-OFFS / WHEN INT8 TURBO IS STILL BETTER:- INT8 ConvRot Turbo (CosSim 0.9933) remains the fidelity reference- Extreme edge-case texture fidelity may marginally favor INT8- If VRAM is not a constraint, INT8 Turbo is the safe defaultTRIGGER 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.TECHNICAL DETAILS:- Base Model: MOSS Image- Precision: W6A8 (6-bit weights, 8-bit activations) with ConvRot (Hadamard 256)- Quantization: AsymW4A8Int8Layout (w6a8_int8), per-group MSE scale search (group 16)- File: moss_image_sft_turbo_dmd2_mystic_lenovo_nicegirls_w6a8.safetensors (4.21 GB)- Requires: qwen3.5_9b_w4a8_gptq.safetensors (text encoder), flux2-vae.safetensors (VAE)

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