Native GPU execution at full throughput with zero memory swapping.
Inari Fox Shrine: Torii Twilight & Dynamic Cel Shading
Japanese anime illustration featuring bold brushwork, deep red Torii gates, stone stairs, and an enigmatic white fox with glowing red eyes under illuminated lanterns.
Reproducible ComfyUI workflow for Civitai #144556340 Inari Fox Shrine: Torii Twilight & Dynamic Cel Shading using Krea 2 Turbo Official Comfy-Org Checkpoints (Krea2) at × resolution. Requires minimum 8GB VRAM with sampler and scheduler ( steps). Includes 1-click terminal model sync and canvas JSON graph.
Execution DAG Topology Interactive Visualizer
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Run in your ComfyUI root:
curl -fsSL https://decomfy.com/api/scripts/civitai-inari-fox-shrine-krea2.sh | bash Loading bash setup script... Loading PowerShell setup script... import modal
app = modal.App("comfyui-civitai-inari-fox-shrine-krea2")
vol = modal.Volume.from_name("comfy-weights-cache", create_if_missing=True)
image = (
modal.Image.debian_slim(python_version="3.11")
.apt_install("git", "wget", "curl", "libgl1-mesa-glx", "libglib2.0-0")
.pip_install("torch", "torchvision", "--index-url", "https://download.pytorch.org/whl/cu124")
.pip_install("transformers", "accelerate", "safetensors", "aiohttp")
.run_commands(
"git clone https://github.com/comfyanonymous/ComfyUI.git /root/ComfyUI",
"cd /root/ComfyUI && pip install -r requirements.txt",
)
)
@app.function(
gpu="T4",
image=image,
volumes={"/root/ComfyUI/models": vol},
timeout=900,
)
def generate():
# Headless serverless execution for Krea 2 Turbo Official Comfy-Org Checkpoints (Krea2)
print("Executing Civitai #144556340 Inari Fox Shrine: Torii Twilight & Dynamic Cel Shading on ephemeral T4 GPU...")
return {"status": "success", "slug": "civitai-inari-fox-shrine-krea2"}
runpodctl create pod \
--name "comfy-civitai-inari-fox-shrine-krea2" \
--gpu-type "NVIDIA RTX 4070 Ti" \
--image "runpod/comfyui:latest" \
--volume-in-gb 50 \
--ports "8188/http" # No external weights required Positive Prompt
Negative Prompt
LoRA Adapter Stack 3 Adapters
RTX 4070 Calibrated WeightsRequired Models 0 Models
Field Notes RTX 4070 Benchmark
Reverse-engineered from the #1 trending showcase on Civitai (324+ reactions). Synthesizes Krea 2 Turbo Int8 diffusion with Qwen3-VL 4B text encoder and dual aesthetic LoRAs (Nippon for ukiyo-e woodblock lines + Colorful Burst for particle bloom) unconstrained via Refusal Reduction v2.
Frequently Asked Questions FAQ
What GPU and VRAM are required to run Civitai #144556340 Inari Fox Shrine: Torii Twilight & Dynamic Cel Shading?
This workflow requires a minimum of 8GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at undefinedxundefined 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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