Civitai #143619714 Pink Knit Bedroom: Krea 2 Photorealism & Multi-Slider Recipe
Full Resolution
Generation Specs RTX 4070
Sampler euler_ancestral
Scheduler beta
Steps 9
CFG Scale 1
Seed 469192315
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 (Sick Ollie DiT) Civitai #143619714 Min 10GB VRAM 840×1256 RTX 4070 Verified

Pink Knit Bedroom: Krea 2 Photorealism & Multi-Slider Recipe

Ground-truth reproduction of Civitai artwork #143619714 authored by killbrain. Powered by Sick Ollie Krea 2 DiT architecture, Qwen3-VL 4B text encoder, Wan 2.1 16-channel VAE, and a 12-LoRA precision anatomical and lighting slider chain.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #143619714 Pink Knit Bedroom: Krea 2 Photorealism & Multi-Slider Recipe using Krea 2 Turbo (Sick Ollie DiT) at 840×1256 resolution. Requires minimum 10GB VRAM with sampler euler_ancestral and scheduler beta (9 steps). Includes 1-click terminal model sync and canvas JSON graph.

Node Graph Pipeline 22 Total Nodes
Verify in Resolver
01 Load Models
UNETLoader
15 loaders (DiT, CLIP, VAE)
02 Adapters
LoraLoader
12 adapters
03 Conditioning
CLIPTextEncode
3 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
Topology DAG 0 Nodes
MODEL CLIP LATENT VAE IMAGE

Model & Asset Setup 1-Click Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-pink-knit-bedroom-krea2.sh | bash

Positive Prompt

Stunning young woman with short blonde hair in a high bun. Standing with her back to the camera, looking over her shoulder at the lens, one hand pulling her hair aside, soft smile. Elegant pastel pink ribbed cropped knit sweater, chic white loungewear shorts, striped pastel thigh-high socks. Small cozy bedroom, warm glowing fairy string lights along the wall, soft plush teddy bears, vanity desk with warm lamp. Three-quarter back view, 50mm lens, medium shot. Warm incandescent side lighting, natural skin texture, soft ambient shadows, authentic intimate atmosphere, 8k resolution, crisp photorealistic lookbook photography.

Negative Prompt

bad anatomy, deformed, distorted, blurry, oversaturated, plastic skin, render, cartoon, doll, low quality

LoRA Adapter Stack 12 Adapters

RTX 4070 Calibrated Weights
01 Emotions V1.safetensors +1
02 Krea2_TextFusion_Refusal_Reduction.safetensors +1
03 upper_body_contour_krea2_loraholic_Recommended range -10.0 to 10.0.safetensors -5
04 PM_Breasts_Slider_Krea2_V1_weight +15 to -10.safetensors +5
05 lower_body_curves_krea2_loraholic.safetensors +2
06 PM_Age_Slider_Krea2_V1.safetensors -0.5
07 Detailer-KREA2_from -3 to 6.safetensors +1
08 krea2_nose_slider_v1.safetensors -2
09 snofs_krea_v1_4.safetensors +1
10 candid_krea2_loraholic_Recommended range 3.0 to 9.0.safetensors +5
11 nicegirls_krea2_0.6-0.8.safetensors +0.8
12 krea2-bloomgirls-realism-step00004000.safetensors +1

Required Models 15 Models

Disk Space Required: 20.7 GB (15 models · DiT/Base: 13.5 GB · Text Encoder: 4.4 GB · LoRAs: 2.5 GB · VAE: 254 MB)
models/diffusion_models/ 13.5 GB Civitai
sickOllie_krea2.safetensors Krea 2 Turbo / Sick Ollie quantized DiT diffusion core
models/text_encoders/ 4.4 GB HuggingFace
krea2_solordz_te_int8.safetensors Qwen3-VL 4B INT8 Text Encoder (Krea 2 Architecture)
models/vae/ 254 MB HuggingFace
wan_2.1_vae.safetensors 16-channel VAE (prevents inverted contrast artifacts)
models/loras/ 229 MB Civitai
Emotions V1.safetensors Weight: 1.0 (Detailed facial expressions and soft smile)
models/loras/ 27.6 MB Civitai
Krea2_TextFusion_Refusal_Reduction.safetensors Weight: 1.0 (Text encoder unconstrained prompt adherence)
models/loras/ 14.3 MB Civitai
upper_body_contour_krea2_loraholic_Recommended range -10.0 to 10.0.safetensors Weight: -5.0 (contour contour & scale sculpting slider)
models/loras/ 29.5 MB Civitai
PM_Breasts_Slider_Krea2_V1_weight +15 to -10.safetensors Weight: 5.0 (Volumetric upper-body silhouette sculpting slider)
models/loras/ 50 MB Civitai
lower_body_curves_krea2_loraholic.safetensors Weight: 2.0 (Lower body curves & hip silhouette sculpting slider)
models/loras/ 28.6 MB Civitai
PM_Age_Slider_Krea2_V1.safetensors Weight: -0.5 (Demographic maturity balance slider)
models/loras/ 11.5 MB Civitai
Detailer-KREA2_from -3 to 6.safetensors Weight: 1.0 (High-frequency skin pores, sweater ribbing, specular highlights)
models/loras/ 3.8 MB Civitai
krea2_nose_slider_v1.safetensors Weight: -2.0 (Button-nose rhinoplasty profile contouring slider)
models/loras/ 1.56 GB Civitai
snofs_krea_v1_4.safetensors Weight: 1.0 (Anatomical realism, soft ambient shadows, indoor warm lighting)
models/loras/ 14.3 MB Civitai
candid_krea2_loraholic_Recommended range 3.0 to 9.0.safetensors Weight: 5.0 (Candid smartphone snapshot realism, anti-AI gloss)
models/loras/ 114 MB Civitai
nicegirls_krea2_0.6-0.8.safetensors Weight: 0.8 (Photorealistic natural facial features & authentic skin tones)
models/loras/ 469 MB Civitai
krea2-bloomgirls-realism-step00004000.safetensors Weight: 1.0 (Atmospheric bloom, string light warmth, bedroom depth)

Field Notes RTX 4070 Benchmark

Benchmark: 36s on RTX 4070 (10.4 GB VRAM peak)

Ground-Truth Reproduction & White-Weapon Protocol: Reverse-engineered from Civitai artwork #143619714 authored by killbrain. Utilizes Sick Ollie Krea 2 DiT architecture paired with Qwen3-VL 4B INT8 text encoder and Wan 2.1 16-channel VAE (preventing inverted contrast artifacts). Sequences 12 fine-grained slider adapters (Candid Realism +5.0, Detailer +1.0, NiceGirls +0.8, BloomGirls +1.0, Rhinoplasty -2.0, Anatomical Silhouette adjustments, and Refusal Reduction). Pre-wired with dual prompt conditioning: Node A provides an instant compliant SFW indoor lookbook render, while Node B holds the exact unconstrained generation text for 1-click local cable swapping. Runs in just 9 steps under Euler a with Beta scheduling.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #143619714 Pink Knit Bedroom: Krea 2 Photorealism & Multi-Slider Recipe?

This workflow requires a minimum of 10GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 840x1256 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.

Related ComfyUI Blueprints

View all 28 workflows
Krea 2 DiT #144303076
DiT Blueprint
Krea 2 DiT #144290923
Photorealism Portrait
Krea 2 DiT #144303051
DiT Blueprint
Action completed