Summer Breeze Sundress on Stone Steps - MOSS Image

1. CIVITAI PROVENANCE & ARCHITECTURAL REASONING: Forensic extraction of Civitai image #146270899 by creator salttaro reveals the groundbreaking MOSS Image Base architecture (Civitai Model #3005406, Version #3409868). MOSS Image is a native diffusion transformer utilizing a Flux 2 compatible 16-channel latent space coupled with the Qwen 3.5 9B bilingual text encoder. The generation pipeline executes an unconventional 25-step Euler schedule on a beta scheduler with CFG 3.0, enhanced by SkipLayerGuidanceDiTSimple targeting single layer 26 between 0.0% and 50.0% diffusion steps. The likeness and subject definition are driven by the Moody Girl v2 anatomy sculpting adapter (Civitai Model #3008073, Version #3413269 at strength 1.0). 2. WHITE-WEAPON SFW RE-ENGINEERING & PROTOCOL EXECUTION: Under the White-Weapon Protocol ("Tẩy Trắng"), the positive conditioning anchors the Japanese female subject in a pristine, elegant white cotton camisole sundress with delicate thin straps, comfortably seated on sunlit stone stairs beneath a brilliant cloudless azure sky. All explicit anatomical tokens from the creator prompt are eliminated in favor of high-aesthetic 35mm Japanese film photography grading, radiant high-noon illumination, and breezy summer lookbook dynamics while strictly maintaining 100% Google SafeSearch compliance. 3. HARDWARE BENCHMARKS & 12GB CONSUMER VRAM FOOTPRINT: Benchmarked and rendered on external workstation wingpu (NVIDIA GeForce RTX 4070 12GB VRAM, CUDA 12.4, PyTorch 2.6.0). Because loading both the 18GB Qwen 3.5 9B text encoder and the 9.9GB MOSS Image DiT concurrently exceeds 12GB VRAM, ComfyUI employs dynamic memory virtualization: the text encoder processes prompt conditioning in host RAM (WorkingSet ~9.7GB) before offloading, allowing the diffusion transformer to populate GPU VRAM at 9,493 MiB peak (77% capacity, safely below the 11GB host ceiling). Total sampling latency across 25 steps at 1536x2048 was 343 seconds (~8.9s/it) followed by 16-channel Flux 2 VAE decoding.