Civitai #144275742 Golden Hour Shutters: Voluminous Curls & Geometric Shadows

Full Resolution

Generation Specs RTX 4070

Sampler euler

Scheduler simple

Steps 10

CFG Scale 1

Seed 7843192051

Target VRAM 12GB

VRAM 10GB - 12GB

GPU Hardware Compatibility

Optimal Ground Truth

Native GPU execution at full throughput with zero memory swapping.

Krea 2 Turbo (Qwen3-VL 4B + Wan 2.1 16-ch VAE) Civitai #144275742 Min 10GB VRAM 832×1152 RTX 4070 Verified

Golden Hour Shutters: Voluminous Curls & Geometric Shadows

Production reproduction of Civitai Red trending #3 artwork #144275742. Fine portraiture with volumetric curled hair, warm afternoon light filtering through plantation shutters, and delicate geometric shadows.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #144275742 Golden Hour Shutters: Voluminous Curls & Geometric Shadows using Krea 2 Turbo (Qwen3-VL 4B + Wan 2.1 16-ch VAE) at 832×1152 resolution. Requires minimum 10GB VRAM with sampler euler and scheduler simple (10 steps). Includes 1-click terminal model sync and canvas JSON graph.

Node Graph Pipeline 11 Total Nodes

Verify in Resolver

01 Load Models

UNETLoader

5 loaders (DiT, CLIP, VAE)

02 Adapters

LoraLoader

2 adapters

03 Conditioning

CLIPTextEncode

2 prompt encodings

04 KSampler

KSampler

DiT latent denoising

05 Decode & Save

VAEDecode

Latent to pixel space

Execution DAG Topology Interactive Visualizer

Drag to pan · Scroll to zoom · Hover wires

Model & Asset Setup 1-Click Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-golden-hour-shutters-krea2.sh | bash

Positive Prompt

A beautiful 22-year-old woman with voluminous, tightly curled natural brown hair standing gracefully in front of a large sunny window with white plantation shutters. Her body is angled slightly as she glances gently over her shoulder toward the camera. She wears a minimalist beige terracotta ribbed loungewear set. Golden hour afternoon sunlight streams through the window louvers, casting delicate geometric shadows and warm highlights across her face and skin. Natural skin texture with fine pores, candid lifestyle snapshot, 85mm portrait lens, f/1.8 shallow depth of field, 8k resolution.

Negative Prompt

underage, child, glossy, airbrushed, cartoon, 3d render, plastic, fake, bad eyes, extra fingers

LoRA Adapter Stack 2 Adapters

RTX 4070 Calibrated Weights

01 nicegirls_krea2.safetensors +0.8

02 Detailer-KREA2.safetensors +0.7

Required Models 5 Models

Disk Space Required: 17.6 GB (5 models · DiT/Base: 12.8 GB · Text Encoder: 4.4 GB · LoRAs: 126 MB · VAE: 254 MB)

models/diffusion_models/ 12.8 GB Civitai

BSSDesirexKrea2_x2INT8ConvrotFastest.safetensors DesireX Krea2 INT8 ConvRot fastest quantized DiT core

Get

models/text_encoders/ 4.4 GB HuggingFace

krea2_solordz_te_int8.safetensors Qwen3-VL 4B INT8 Text Encoder (Krea 2 Architecture)

Get

models/vae/ 254 MB HuggingFace

wan_2.1_vae.safetensors 16-channel VAE (prevents inverted contrast artifacts)

Get

models/loras/ 114 MB Civitai

nicegirls_krea2.safetensors Weight: 0.8 (Natural facial features and graceful expression)

Get

models/loras/ 11.5 MB Civitai

Detailer-KREA2.safetensors Weight: 0.7 (Micro skin pores & volumetric hair curl detail)

Get

Field Notes RTX 4070 Benchmark

Benchmark: [object Object]

Reproduction of Civitai Red trending #3 artwork #144275742. Explores fine-grained hair follicle rendering and geometric shadow casting through plantation shutter louvers.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #144275742 Golden Hour Shutters: Voluminous Curls & Geometric Shadows?

This workflow requires a minimum of 10GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 832x1152 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.

Which VAE and conditioning text encoders are required for Krea 2 DiT?

Krea 2 DiT single-stream models strictly require the 16-channel Wan2.1 VAE and Qwen3-VL text encoder. Using standard Flux or SDXL VAE causes inverted checkerboard artifacts. Also pair with RescaleCFG for high-contrast portrait clarity.