Civitai #144290923 Bookshelf Study Portrait: Off-Shoulder Knit & 50mm Bokeh

Full Resolution

Generation Specs RTX 4070

Sampler euler

Scheduler simple

Steps 8

CFG Scale 1

Seed 524173566

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 #144290923 Min 10GB VRAM 832×1152 RTX 4070 Verified

Bookshelf Study Portrait: Off-Shoulder Knit & 50mm Bokeh

Production reproduction of Civitai Red trending artwork #144290923. Confident shy indoor portrait in dark green off-shoulder knit against wooden bookshelves with shallow depth of field.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #144290923 Bookshelf Study Portrait: Off-Shoulder Knit & 50mm Bokeh 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 (8 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-bookshelf-portrait-krea2.sh | bash

Positive Prompt

Fabiana, young brazilian woman, petite body, dark wavy hair, 20yrs old, standing in a confident yet shy pose, looking directly at the viewer with a calm, emotionally vulnerable expression. Wearing an off-shoulder dark green knit sweater, soft warm indoor lighting, wooden bookshelf in the background, shallow depth of field, 50mm portrait lens, fine pores, authentic skin texture.

Negative Prompt

cartoon, 3d, painting, anime, plastic, bad face, deformed limbs

LoRA Adapter Stack 2 Adapters

RTX 4070 Calibrated Weights

01 candid_krea2_loraholic.safetensors +0.7

02 nicegirls_krea2.safetensors +0.6

Required Models 0 Models

Disk Space Required: 0 MB (0 models · No external weights required)

Field Notes RTX 4070 Benchmark

Benchmark: [object Object]

Reproduction of Civitai Red trending artwork #144290923. Emulates 50mm portrait prime lens character with fine skin pores and warm study ambient tones.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #144290923 Bookshelf Study Portrait: Off-Shoulder Knit & 50mm Bokeh?

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.