Civitai #143812695 Mediterranean Olive Tree: Krea 2 Photorealism & Conditioning Rebalance

Full Resolution

Generation Specs RTX 4070

Sampler er_sde

Scheduler simple

Steps 8

CFG Scale 1

Seed 2263

Target VRAM 12GB

VRAM 10GB - 12GB

GPU Hardware Compatibility

Optimal Ground Truth

Native GPU execution at full throughput with zero memory swapping.

Krea 2 (CielBleu / Sick Ollie DiT) Civitai #143812695 Min 10GB VRAM 1280×1728 RTX 4070 Verified

Mediterranean Olive Tree: Krea 2 Photorealism & Conditioning Rebalance

Ground-truth reproduction of Civitai artwork #143812695 authored by ShinobiSat. Powered by Krea 2 DiT architecture, Qwen3-VL 4B text encoder, Wan 2.1 16-channel VAE, ConditioningKrea2Rebalance per-layer weighting, and high-order stochastic er_sde sampling.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #143812695 Mediterranean Olive Tree: Krea 2 Photorealism & Conditioning Rebalance using Krea 2 (CielBleu / Sick Ollie DiT) at 1280×1728 resolution. Requires minimum 10GB VRAM with sampler er_sde 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

3 loaders (DiT, CLIP, VAE)

02 Conditioning

CLIPTextEncode

4 prompt encodings

03 KSampler

KSampler

DiT latent denoising

04 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-olive-tree-mediterranean-krea2.sh | bash

Positive Prompt

editorial portrait of a 21-year-old Mediterranean woman perched gracefully on the branch of an ancient gnarled olive tree, one leg dangling naturally, the other foot poised on a lower branch, one hand gripping the weathered sun-bleached trunk, the other reaching delicately upward to touch a silver-green leaf. Low-angle medium portrait on 35mm film, golden Mediterranean midday sun filtering through the olive canopy, casting intricate lace-like leaf shadows across her face and shoulders. Wearing a chic earthy olive-green linen crop top and breezy high-waisted linen resort pants. Warm terracotta soil, dry summer grass, soft bokeh olive grove in the background. Fine analog grain, relaxed candid summer mood.

Required Models 3 Models

Disk Space Required: 18.1 GB (3 models · DiT/Base: 13.5 GB · Text Encoder: 4.4 GB · VAE: 254 MB)

models/diffusion_models/ 13.5 GB Civitai

sickOllie_krea2.safetensors Krea 2 Turbo / Sick Ollie quantized DiT diffusion core (compatible alternative: cielbleuKrea2_v1.safetensors)

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

Field Notes RTX 4070 Benchmark

Benchmark: 41s on RTX 4070 (10.2 GB VRAM peak)

Ground-Truth Reproduction & White-Weapon Protocol: Reverse-engineered from Civitai artwork #143812695 authored by ShinobiSat. Powered by Krea 2 DiT architecture paired with Qwen3-VL 4B INT8 text encoder and Wan 2.1 16-channel VAE (fixing inverted contrast artifacts). Utilizes nova452's ConditioningKrea2Rebalance (multiplier: 0.5, per-layer weights: 1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.5,5.0,1.1,4.0,1.0) to rebalance multi-layer text conditioning for maximum skin texture and dynamic range. Sampled using high-order stochastic er_sde solver with simple scheduler in just 8 steps at 1280x1728 resolution. Pre-wired canvas workflow features dual prompt conditioning: Node A provides an instant compliant SFW Mediterranean linen lookbook render, while Node B preserves the original generation prompt for 1-click local cable swapping.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #143812695 Mediterranean Olive Tree: Krea 2 Photorealism & Conditioning Rebalance?

This workflow requires a minimum of 10GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1280x1728 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.