Civitai #145646258: RedCraft 4.0 - Intimate Editorial Lookbook (K2T DUAL)
Full Resolution
Generation Specs RTX 4070
Sampler euler
Scheduler simple
Steps 8
CFG Scale 1
Seed 148091370813555
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 #145646258 Min 10GB VRAM 1888×3328 RTX 4070 Verified

RedCraft 4.0 - Intimate Editorial Lookbook (K2T DUAL)

Photorealistic 35mm editorial lookbook reproduced natively with RedCraft 4.0 Hybrid H3 & Krea2T DUAL (0 LoRAs required).

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #145646258: RedCraft 4.0 - Intimate Editorial Lookbook (K2T DUAL) using RedCraft | 红潮 | Hybrid H3 & Krea2T DUAL MASO W6A8 at 1888×3328 resolution. Requires minimum 10GB VRAM with sampler euler 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
Node Graph 0 nodes
MODEL CLIP LATENT VAE IMAGE

Model & Asset Setup Setup Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-redcraft4-editorial-lookbook-krea2.sh | bash

Positive Prompt

Photorealistic high-fashion editorial photograph, single continuous frame, vertical 9:16 framing. Intimate low-angle shot at mattress level, 35mm prime lens at f/2.0 with shallow depth of field. Soft morning window daylight streaming from upper left across fine striped cotton sheets and pillows. A chic young South Korean woman (21), natural radiant skin, relaxed morning messy hair, wearing an oversized ivory chunky knit cashmere sweater and relaxed loungewear shorts, leaning back comfortably against crisp pillows with a quiet, serene expression, lips parted in a gentle smile. Soft focus background, authentic 35mm film texture, muted neutral tones, Vogue editorial lookbook aesthetic.

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 3 Models

Required Storage: 17.7 GB (3 models · DiT/Base: 12.6 GB · Text Encoder: 4.9 GB · VAE: 253 MB)
models/diffusion_models/ 12.56 GB Civitai
redcraftHybridH3Krea2t_40K2TDUAL_3196558.safetensors Official RedCraft | Hybrid H3 & Krea2T DUAL MASO W6A8 (赤佬 4.0 受虐版 K2T DUAL, Model #958009, 0 LoRAs Required)
models/text_encoders/ 4.88 GB HuggingFace
qwen3vl_4b_fp8_scaled.safetensors Official Qwen3-VL 4B FP8 Scaled Text Encoder (CLIPLoader type: krea2)
models/vae/ 253 MB HuggingFace
qwen_image_vae.safetensors Official 16-channel Video & Image VAE

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 confirms that this image relies strictly on a SINGLE fine-tuned model resource: RedCraft | Hybrid H3 & Krea2T DUAL MASO W6A8 (version 赤佬 4.0 受虐版 K2T DUAL, Civitai Model #958009, Version #3311198, File #3196558). There are zero LoRAs attached in the generation graph. The warm, tactile 35mm film texture, nuanced skin subsurface scattering, and balanced macro depth-of-field are native characteristics trained directly into this hybrid checkpoint. 2. WORKFLOW REUSE & REPRODUCTION STANDARD: When remixing or generating locally with RedCraft 4.0, no external LoRA adapters are required. The pipeline connects UNETLoader (redcraftHybridH3Krea2t_40K2TDUAL_3196558.safetensors, fp8_e4m3fn) directly to Qwen3-VL 4B text encoder and Qwen Image VAE. Latent sampling runs via euler with simple scheduler across 8 steps at CFG 1.0, decoded seamlessly through 16-channel VAE, and cleanly scaled by 2.0x bicubic 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 (~5.8s per step) consuming 11.85 GB VRAM without lowvram layer offload thrashing.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #145646258: RedCraft 4.0 - Intimate Editorial Lookbook (K2T DUAL)?

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.

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