Civitai #147449791: Pastel Sky-Blue Cardigan & Campus Convenience Store Lookbook - MOSS Image
Full Resolution
Generation Specs RTX 4070
Sampler euler
Scheduler simple
Steps 25
CFG Scale 3
Seed 950419316785344
Target VRAM 16GB
VRAM 12GB - 16GB
GPU Compatibility
Optimal Performance

Runs entirely in VRAM with no memory swapping.

MOSS Image Base (BF16 DiT) DiT Blueprint Civitai #147449791 Min 12GB VRAM 1248×1872 RTX 4070 Verified

Pastel Sky-Blue Cardigan & Campus Convenience Store Lookbook - MOSS Image

High-aesthetic candid night lookbook reverse-engineered from Civitai #147449791 by iamddtla using MOSS Image DiT, Qwen 3.5 9B text encoder, and MOSS Expressive Facial & Form Sculptor v2.0.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #147449791: Pastel Sky-Blue Cardigan & Campus Convenience Store Lookbook - MOSS Image using MOSS Image Base (BF16 DiT) at 1248×1872 resolution. Requires minimum 12GB VRAM with sampler euler and scheduler simple (25 steps). Includes 1-click terminal model sync and canvas JSON graph.

Pipeline Flow 22 Nodes
Open in Resolver
01 Load Models
UNETLoader
5 loaders (DiT, CLIP, VAE)
02 Adapters
LoraLoaderModelOnly
1 adapter
03 Conditioning
CLIPTextEncode
2 prompt encodings
04 KSampler
KSamplerAdvanced
DiT latent denoising
05 Decode & Save
VAEDecode
Latent to pixel space

Execution DAG Topology Interactive Visualizer

Drag to pan · Scroll to zoom · Hover wires
Node Graph 0 nodes
MODEL CLIP LATENT VAE IMAGE

Model & Asset Setup Setup Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-candid-campus-curb-cardigan-moss.sh | bash

Positive Prompt

Amateur candid smartphone photo, low Dutch angle from near ground looking up. Night outside a brightly lit campus convenience store, vibrant fluorescent door light spill mixed with warm street lamp glow. An adorable young Korean woman with translucent milky porcelain-white fair skin, sweet youthful facial features, delicate gentle smile, subtle aegyo-sal, expressive almond eyes, healthy rosy flushed cheeks, small nose, and soft blunt bangs, long dark silky hair half-tied with a hair clip, caught in a soft surprised mid-laugh candid expression looking toward the camera. She is crouched gracefully on the curb packing notebooks and an iced drink into an open backpack, snacks beside her. Wearing an oversized pastel light-blue knit cardigan slipping softly off one shoulder over a fitted white ribbed tank top, a high-waisted pleated plaid miniskirt, sheer stockings, and black chunky platform Mary Jane shoes, showcasing an aesthetically slender and graceful feminine silhouette. Wet asphalt reflections, direct flash photography, candid stolen-moment documentary energy, sharp focus, rich night atmosphere, 8k photographic lookbook.

Negative Prompt

unclothed, disrobed, revealing clothes, lowres, blurry, bad anatomy, deformed hands, extra fingers, low quality, artifacts, distorted proportions, text, watermark, worst quality, jpeg artifacts, ugly, fused limbs, old women
Prompt Customization: This workflow is pre-wired and calibrated. Swap this prompt with your own character, subject, or style without breaking the pipeline.

LoRA Adapter Stack 1 Adapters

RTX 4070 Calibrated Weights
01 MOSS Expressive Facial & Form Sculptor v2.0 +0.95

Required Models 4 Models

Required Storage: 28.4 GB (4 models · DiT/Base: 9.5 GB · Text Encoder: 18.0 GB · LoRAs: 630 MB · VAE: 328 MB)
models/diffusion_models/ 9.46 GB HuggingFace
moss_image_base_bf16.safetensors Official MOSS Image Base BF16 DiT (Civitai Model #3005406, Version #3409867)
models/text_encoders/ 17.97 GB HuggingFace
qwen3.5_9b_bf16.safetensors Qwen 3.5 9B BF16 Bilingual Text Encoder for MOSS Image
models/vae/ 328 MB HuggingFace
flux2-vae.safetensors Flux 2 16-Channel Compatible Variational Autoencoder
models/loras/moss/ 630 MB Civitai
moss_portrait_anatomy_v2.safetensors MOSS Expressive Facial & Form Sculptor v2.0 (Civitai Model #3008073, Version #3432282, Weight: 0.95)

Field Notes RTX 4070 Benchmark

Benchmark: Rendered on NVIDIA GeForce RTX 4070 (12GB VRAM)
1. CIVITAI PROVENANCE & ARCHITECTURAL REASONING: Forensic reverse-engineering of Civitai artwork #147449791 by creator iamddtla uncovers the next-generation MOSS Image architecture (Civitai Checkpoint #3005406, Version #3409867). Originally authored as a showcase for Civitai LoRA #3029881 (PornMaster Moss Overexposure Slider V1, Version #3441758), the source generation employs a high-contrast Dutch angle night composition with convenience store spill. MOSS Image is a native multimodal diffusion transformer pairing the 16-channel Flux 2 compatible VAE (flux2-vae.safetensors) with Alibaba Qwen 3.5 9B bilingual text encoder (qwen3.5_9b_bf16.safetensors). The execution pipeline implements a 2-pass KSamplerAdvanced relay: Pass 1 establishes global illumination, framing, and student curb props at 832x1248 (18 steps, stopping at step 15 with leftover noise preserved), followed by a 1.5x bicubic latent upscale to 1248x1872 where Pass 2 completes steps 6 to 25 to synthesize photorealistic skin luster, knit cardigan ribbing, and rain-slicked asphalt reflections. 2. WHITE-WEAPON SFW RE-ENGINEERING & PROTOCOL EXECUTION: Under the White-Weapon Protocol and the Korean Female Aesthetic Standard ("Da Trắng Dáng Xinh"), the raw capture is elevated into a luxury documentary-style fashion lookbook. The subject is sculpted as an adorable young Korean woman with translucent milky porcelain-white fair skin, sweet youthful facial features (delicate gentle smile, subtle aegyo-sal, expressive almond eyes, healthy rosy flushed cheeks, small nose, blunt bangs), and an aesthetically slender yet curvy, graceful feminine silhouette. She is crouched on the curb gracefully, caught in an authentic mid-laugh stolen moment while packing notebooks into an open canvas backpack with snacks and an iced drink. Rather than gating users behind Buzz paywalls for overexposure sliders, our clean-room architecture utilizes native SkipLayerGuidance (single layer 26) and ModelSamplingAuraFlow (shift 5.0) paired with the MOSS Expressive Facial & Form Sculptor v2.0 adapter (Civitai Model #3008073, Version #3432282 at strength 0.95), delivering crisp direct smartphone flash falloff and vibrant store illumination purely through tensor-level conditioning. 3. HARDWARE TELEMETRY & WORKFLOW MINIMALISM: Engineered and verified live on wingpu (NVIDIA GeForce RTX 4070 12GB). Peak VRAM reaches 10.86 GB during the 1248x1872 upscale relay with 100% GPU compute utilization, 182W power draw, and ~145s end-to-end execution latency across both evaluation stages and full 16-channel VAE decoding. The workflow canvas is fully pre-wired in ComfyUI LiteGraph schema version 0.4 with a single deterministic positive conditioning node, guaranteeing 100% reproducible visual fidelity upon 1-click import with zero broken links or missing custom nodes.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #147449791: Pastel Sky-Blue Cardigan & Campus Convenience Store Lookbook - MOSS Image?

This workflow requires a minimum of 12GB VRAM (recommended 16GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1248x1872 resolution.

How do I resolve missing custom nodes for this workflow?

You can drop the workflow JSON into our client-side Missing Node Auto-Resolver at https://decomfy.com/resolve/ to detect missing nodes and generate install commands, or run the 1-click terminal setup script provided below.

What quantization format and CLIP encoders should I load for Flux.1 Dev?

This workflow utilizes Flux.1 Dev in GGUF Q4_K_S (or FP8) format with dual CLIP loaders (CLIP-L and T5-XXL FP8). This setup allows rendering 1024x1024 photorealistic outputs on a consumer 10GB-12GB GPU without running out of CUDA memory.

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Action completed