Reallusion ComfyUI Custom Nodes

This nodepack contains custom nodes for ComfyUI designed specifically for handling Reallusion-related assets such as Character Creator and iClone image and video files. These nodes are intended to be used as backend components that communicate and operate through the AI Render Plugin interface of iClone or Character Creator, enabling a seamless integration between ComfyUI's powerful image/video generation capabilities and Reallusion’s animation tools. By bridging ComfyUI with iClone/Character Creator’s AI Render Plugin, these nodes facilitate workflows where AI-assisted content generation can be controlled, customized, and rendered directly from within Reallusion software environments.

Quick Technical Summary: Reallusion ComfyUI Custom Nodes

Base VRAM Footprint:
4096 MB (8 GB Tier)
Primary Dependencies:
None (Pure Python/Torch)
Min PyTorch / CUDA:
PyTorch 2.0+ | CUDA 12.1+
GitHub Repository:
https://github.com/reallusion/ComfyUI-Reallusion

Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.

How much VRAM does Reallusion ComfyUI Custom Nodes require?

Direct Answer: The ComfyUI node Reallusion ComfyUI Custom Nodes requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
βœ— Not supported
Estimation Confidence:
MEDIUM
Hardware Guide

Run Reallusion ComfyUI Custom Nodes locally

Honest estimate: this node typically needs ≥ 8GB VRAM in a real workflow.

NVIDIA GeForce RTX 306012GB VRAM Β· ~$285
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NVIDIA GeForce RTX 40608GB VRAM Β· budget pick
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Cheapest VRAM upgrade paths (live market prices)

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Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
βœ… Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

⚑

Struggling with VRAM Crashes or Out-of-Memory Errors?

Running heavy models like FLUX or SDXL with Reallusion ComfyUI Custom Nodes? If you experience torch.cuda.OutOfMemoryError or driver timeouts, read our comprehensive troubleshooting guide to configure launch flags, enable tiled decoding, and avoid crashes.

Verify Compatibility for Your Specific GPU VRAM

Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for Reallusion ComfyUI Custom Nodes:

Live Cloud Deploy Options

Live Market Rates

Run this node in cloud environments with pre-configured CUDA/PyTorch dependencies:

No Python Dependencies Required

This node runs purely on native ComfyUI python contexts. No external pip libraries require automated installation!

Universal Architecture Compatibility

Reallusion ComfyUI Custom Nodes operates as a general-purpose processor without binding directly to a single checkpoint architecture. It can be paired across Stable Diffusion 1.5, SDXL, FLUX, and video diffusion pipelines.

Frequently Asked Questions

How much VRAM does Reallusion ComfyUI Custom Nodes require?

Reallusion ComfyUI Custom Nodes requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run Reallusion ComfyUI Custom Nodes on an RTX 3060, RTX 4070, or RTX 4090?

βœ… RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. βœ… RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. βœ… RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. βœ… RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

How much VRAM does Reallusion ComfyUI Custom Nodes take on an RTX 3060 vs RTX 4090?

On an RTX 3060 (12GB VRAM), Reallusion ComfyUI Custom Nodes runs smoothly on an RTX 3060 (12GB) with 6.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 17.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.

How do I install Reallusion ComfyUI Custom Nodes in ComfyUI?

To install Reallusion ComfyUI Custom Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/reallusion/ComfyUI-Reallusion, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.

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