Civitai #143463647: Gothic Sacred Knight - Melancholy Baroque & Crown of Thorns
Full Resolution
Generation Specs RTX 4070
Sampler euler
Scheduler simple
Steps 10
CFG Scale 1
Seed 247891234
Target VRAM 12GB
VRAM 8GB - 12GB
GPU Hardware Compatibility
Optimal Ground Truth

Native GPU execution at full throughput with zero memory swapping.

Krea 2 Turbo (Official Comfy-Org) Civitai #143463647 Min 8GB VRAM 832×1248 RTX 4070 Verified

Gothic Sacred Knight - Melancholy Baroque & Crown of Thorns

Dark sacred fantasy portrait blending Melancholy Baroque oil painting aesthetics with Gothic filigree armor, ceremonial ivory robes, and SNOFS + Melancholy conditioning on Krea 2 Turbo.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #143463647: Gothic Sacred Knight - Melancholy Baroque & Crown of Thorns using Krea 2 Turbo (Official Comfy-Org) at 832×1248 resolution. Requires minimum 8GB VRAM with sampler euler and scheduler simple (10 steps). Includes 1-click terminal model sync and canvas JSON graph.

Node Graph Pipeline 14 Total Nodes
Verify in Resolver
01 Load Models
UNETLoader
7 loaders (DiT, CLIP, VAE)
02 Adapters
LoraLoader
4 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-gothic-sacred-knight-krea2.sh | bash

Positive Prompt

Masterpiece, highest quality, high-fashion dark fantasy editorial portrait. An ethereal dark religious knight noblewoman with long flowing silver-white hair cascading gracefully over ornate engraved black filigree armor pauldrons and an elegant draped ivory velvet ceremonial robe with deep crimson silk lining and delicate gold embroidery. Adorned with an intricate Gothic crown of thorns sculpted in polished blackened silver with miniature glowing crimson ruby gemstones. Mysterious contemplative gaze, alabaster porcelain skin, dramatic chiaroscuro side lighting casting long architectural shadows in an ancient vaulted Gothic cathedral, faint misty moonlight filtering through towering stained glass rose windows. Painterly impasto oil brushstrokes, subtle chromatic rim lighting, solemn sacred atmosphere, dark fantasy fine art gallery masterpiece.

Negative Prompt

deformed, bad anatomy, deformed hands, extra fingers, missing fingers, lowres, blurry, distorted proportions, low quality, artifacts, watermark, signature, modern clothing, ugly, cartoon, 3d render

LoRA Adapter Stack 4 Adapters

RTX 4070 Calibrated Weights
01 Krea2 TextFusion Refusal-Reduction LoRA (Updated) +1
02 Krea2 - Melancholy +0.85
03 SNOFS (Sex, Nudes, Other Fun Stuff) +0.8
04 CARAPACE777 Biomechanical Dark Fantasy +0.45

Required Models 7 Models

Disk Space Required: 19.6 GB (7 models · DiT/Base: 12.6 GB · Text Encoder: 4.9 GB · LoRAs: 1.9 GB · VAE: 253 MB)
models/diffusion_models/ 12.56 GB HuggingFace
krea2_turbo_int8_convrot.safetensors Official Krea 2 Turbo INT8 ConvRot Diffusion Transformer core
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
models/loras/ 26.4 MB HuggingFace (Mirror)
Krea2_TextFusion_Refusal_Reduction.safetensors Weight: 1.0 (Krea2 TextFusion Alignment & Refusal Reduction adapter)
models/loras/ 218 MB HuggingFace (Mirror)
krea2_melancholy_v2.safetensors Weight: 0.85 (Dark Baroque & Melancholic Fine Art styling LoRA)
models/loras/ 1.49 GB HuggingFace (Mirror)
snofs_krea2_v14.safetensors Weight: 0.8 (SNOFS Adult & Anatomical Rendering fidelity LoRA)
models/loras/ 218 MB HuggingFace (Mirror)
CARAPACE777_v1.safetensors Weight: 0.45 (Biomechanical dark fantasy filigree metalwork LoRA)

Field Notes RTX 4070 Benchmark

Benchmark: Rendered on NVIDIA GeForce RTX 4070 (INT8 CPU-offload patch)
1. ARCHITECTURAL REASONING & LORA SEQUENCING PHILOSOPHY: This workflow departs completely from standard photography lookbooks by constructing an ecclesiastical Dark Gothic Baroque atmosphere. The key engineering decision is how the 4 LoRA adapters are cascaded to avoid latent space collision: - Stage 1: TextFusion (Weight 1.0) is placed immediately after UNET & CLIP loaders. It expands the text encoder receptive field and eliminates semantic truncation, enabling complex ecclesiastical terms (stained glass, Gothic crown of thorns, chiaroscuro) to condition cleanly without prompt bleeding. - Stage 2: Krea 2 Melancholy (Weight 0.85) establishes macro-level color science, heavy chiaroscuro shadow depth, and cathedral architecture before any anatomical or mechanical details are injected. - Stage 3: SNOFS (Weight 0.80) refines biological and textural realism (alabaster skin subsurface scattering, hair fiber separation) on top of the established Baroque lighting. - Stage 4: CARAPACE777 (Weight 0.45) acts strictly as a fine-detail texture modifier at the tail end. Keeping its strength under 0.50 prevents biomechanical distortion while imprinting intricate filigree engravings onto the dark steel armor and thorn crown. 2. CABLE ROUTING & SIGNAL TOPOLOGY: - Core Pipeline: Node 1 (UNETLoader) feeds initial MODEL to Node 4 (LoraLoader 1). Node 2 (DualCLIPLoader) feeds initial CLIP to Node 4. Node 3 (VAELoader) routes directly to Node 12 (VAEDecode). - LoRA Daisy Chain: Each LoraLoader sequentially processes both MODEL and CLIP outputs: Node 4 -> Node 5 -> Node 6 -> Node 7. - Conditioning Split: At Node 7, the fully conditioned MODEL cable routes directly to Node 11 (KSampler). The final conditioned CLIP splits into three parallel streams: * Stream A -> Node 8 (Active SFW Lookbook prompt) -> Positive input of KSampler. * Stream B -> Node 9 (Negative prompt) -> Negative input of KSampler. * Stream C -> Node 14 (Standby Raw prompt, Mode: 2 Bypassed) -> Standby for local 1-click inspection. - Sampling & Decoding: Node 10 (EmptyLatent 832x1248) feeds into KSampler (Euler simple, 10 steps, CFG 1.0). The resulting LATENT passes to Node 12 (VAEDecode) with Wan 2.1 16-channel VAE, outputting uncompressed pixel tensor to Node 13 (SaveImage).

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #143463647: Gothic Sacred Knight - Melancholy Baroque & Crown of Thorns?

This workflow requires a minimum of 8GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 832x1248 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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Action completed