Civitai #144323059 Doorstep Roses: Golden Hour Leather & Natural 35mm Realism

Full Resolution

Generation Specs RTX 4070

Sampler euler

Scheduler simple

Steps 8

CFG Scale 1

Seed 605544294

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 (Qwen3-VL 4B + Wan 2.1 16-ch VAE) Civitai #144323059 Min 10GB VRAM 832×1152 RTX 4070 Verified

Doorstep Roses: Golden Hour Leather & Natural 35mm Realism

Production reproduction of Civitai Red trending artwork #144323059. POV doorstep evening candid with dark leather jacket, red roses bouquet, and warm porch bokeh.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #144323059 Doorstep Roses: Golden Hour Leather & Natural 35mm Realism using Krea 2 Turbo (Qwen3-VL 4B + Wan 2.1 16-ch VAE) at 832×1152 resolution. Requires minimum 10GB VRAM with sampler euler 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

5 loaders (DiT, CLIP, VAE)

02 Adapters

LoraLoader

2 adapters

03 Conditioning

CLIPTextEncode

2 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

Model & Asset Setup 1-Click Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-doorstep-roses-candid-krea2.sh | bash

Positive Prompt

Point-of-view photograph from the person answering the door, looking out at a young adult woman standing right on the doorstep. She has long wavy dark hair, subtle black winged eyeliner, glossy burgundy lips, looking up with a confident charming smile. She is wearing a short dark vintage leather jacket over a lace top, dark denim. She is holding a bouquet of dark red roses in one arm, leaning casually against the doorframe. Evening golden hour light hitting the porch, warm lamp illuminating her from above, bokeh streetlights in the background. Ultra-detailed candid 35mm film photography, grain texture, sharp focus.

Negative Prompt

cartoon, anime, 3d render, blurry, distorted anatomy, extra limbs, bad eyes, plastic skin, oversaturated

LoRA Adapter Stack 2 Adapters

RTX 4070 Calibrated Weights

01 candid_krea2_loraholic.safetensors +0.7

02 Krea2_TextFusion_Refusal_Reduction.safetensors +0.8

Required Models 0 Models

Disk Space Required: 0 MB (0 models · No external weights required)

Field Notes RTX 4070 Benchmark

Benchmark: [object Object]

Reproduction of Civitai Red trending artwork #144323059. Emulates 35mm film grain, golden hour evening porch ambient light, and lifelike skin textures.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #144323059 Doorstep Roses: Golden Hour Leather & Natural 35mm Realism?

This workflow requires a minimum of 10GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 832x1152 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.