Civitai #145344096: High-Contrast Monochrome Editorial Portrait - RedCraft Hybrid H3 & Krea2T

Full Resolution

Generation Specs RTX 4070

Sampler er_sde

Scheduler simple

Steps 8

CFG Scale 1

Seed 1424286000521473

Target VRAM 12GB

VRAM 10GB - 12GB

GPU Compatibility

Optimal Performance

Runs entirely in VRAM with no memory swapping.

RedCraft | 红潮 | Hybrid H3 & Krea2T DUAL MASO W6A8 Civitai #145344096 Min 10GB VRAM 1888×3328 RTX 4070 Verified

High-Contrast Monochrome Editorial Portrait - RedCraft Hybrid H3 & Krea2T

Photorealistic black-and-white editorial portrait reproduced with 100% native RedCraft Hybrid H3 & Krea2T checkpoint (0 LoRAs required).

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #145344096: High-Contrast Monochrome Editorial Portrait - RedCraft Hybrid H3 & Krea2T using RedCraft | 红潮 | Hybrid H3 & Krea2T DUAL MASO W6A8 at 1888×3328 resolution. Requires minimum 10GB VRAM with sampler er_sde and scheduler simple (8 steps). Includes 1-click terminal model sync and canvas JSON graph.

Pipeline Flow 10 Nodes

Open in Resolver

01 Load Models

UNETLoader

3 loaders (DiT, CLIP, VAE)

02 Conditioning

CLIPTextEncode

2 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 Setup Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-monochrome-editorial-portrait-krea2.sh | bash

Positive Prompt

Cinematic high-contrast black-and-white editorial portrait, vertical 9:16 framing. Camera close and intimate at bed level, 35mm lens at f/2.0 with shallow depth of field. A graceful East Asian woman in her early 20s lounging comfortably across striped minimalist linen bedding, wearing an oversized ivory cashmere knit sweater with folded cuffs and dark relaxed tailored lounge trousers. Long silky dark hair spilling naturally over the pillows. Soft natural morning sunlight streaming from the window on the upper left, casting dramatic monochrome shadows and soft rim lighting. Intimate and contemplative expression, head gently tilted back, lips relaxed, eyes looking thoughtfully toward the ambient light. Heavy tactile film grain, deep rich contrast, rich velvet shadows, delicate highlight rolloff. Natural skin texture with fine detail, five fingers on each hand, anatomically flawless. No text, watermark, logo, or distortion.

Negative Prompt

unclothed, disrobed, revealing clothes, lowres, blurry, bad anatomy, deformed hands, extra fingers, low quality, artifacts, distorted proportions, text, watermark, signature

Prompt Customization: This workflow is pre-wired and calibrated. Swap this prompt with your own character, subject, or style without breaking the pipeline.

Required Models 4 Models

Required Storage: 30.2 GB (4 models · DiT/Base: 25.1 GB · Text Encoder: 4.9 GB · VAE: 253 MB)

models/diffusion_models/ 12.56 GB Civitai

redcraftHybridH3Krea2t_5BUZZDEALK2T_3217912.safetensors Official RedCraft | Hybrid H3 & Krea2T DUAL MASO W6A8 (赤佬5 BUZZ DEAL, Model #958009, 0 LoRAs Required)

Get

models/diffusion_models/ 12.56 GB HuggingFace

krea2_turbo_int8_convrot.safetensors Base Krea 2 Turbo INT8 ConvRot Diffusion Transformer (Alternative open-weights base)

Get

models/text_encoders/ 4.88 GB HuggingFace

qwen3vl_4b_fp8_scaled.safetensors Official Qwen3-VL 4B FP8 Scaled Text Encoder (CLIPLoader type: krea2)

Get

models/vae/ 253 MB HuggingFace

qwen_image_vae.safetensors Official 16-channel Video & Image VAE

Get

Field Notes RTX 4070 Benchmark

Benchmark: Rendered on NVIDIA GeForce RTX 4070 (12GB VRAM, CUDA 12.4)

1. CIVITAI REMIX & RESOURCE DECOMPOSITION: Ground-truth verification directly via Civitai Remix generator confirms that this image relies strictly on a SINGLE model resource: RedCraft | Hybrid H3 & Krea2T DUAL MASO W6A8 (version 赤佬5 BUZZ DEAL (K2T)商务版, Civitai Model #958009, Version #3331574, File #3217912, Hash: 25D42942AF). There are zero LoRAs attached in the generation graph. The extreme high-contrast monochrome dynamics, rich black shadows, and 35mm film grain are native characteristics trained directly into this fine-tuned checkpoint. 2. WORKFLOW REUSE & REPRODUCTION STANDARD: When remixing or generating locally with RedCraft, no external adapter weights are needed. The pipeline connects UNETLoader (redcraftHybridH3Krea2t_5BUZZDEALK2T_3217912.safetensors, fp8_e4m3fn) directly to Qwen3-VL 4B text encoder and Qwen Image VAE. Latent sampling runs via er_sde with simple scheduler across 8 steps at CFG 1.0, decoded seamlessly through 16-channel VAE, and cleanly scaled by 2.0x to 1888x3328. 3. HARDWARE BENCHMARKS & CONSUMER GPU FOOTPRINT: Benchmarked on NVIDIA GeForce RTX 4070 (12GB VRAM, CUDA 12.4). Because zero runtime LoRA patches are applied to the quantized weights, the single checkpoint runs natively at peak speed (~5.7s per step) consuming 11.81 GB VRAM without lowvram layer offload thrashing.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #145344096: High-Contrast Monochrome Editorial Portrait - RedCraft Hybrid H3 & Krea2T?

This workflow requires a minimum of 10GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1888x3328 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.