ComfyUI_RP_Cast

By AISeDamView on GitHub →

Per-region prompt and LoRA control for SD1.5, SDXL, Z-Image, and Qwen — compatible with multiple model architectures.

How much VRAM does ComfyUI_RP_Cast require?

Direct Answer: The ComfyUI node ComfyUI_RP_Cast requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
8192MB (8.0GB)
Recommended GPU:
12GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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

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Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

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What Python packages are required for ComfyUI_RP_Cast?

Direct Answer: Running ComfyUI_RP_Cast requires installing the following Python package dependencies: onnxruntime# WD14 gender classification (ZImage Detailer only), opencv-python# mask dilation and blur (cv2), pillow>=10.1.0 # image decode for Detailer nodes and API image response (JPEG/WEBP), ultralytics# YOLO person detection. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
onnxruntime# WD14 gender classification (ZImage Detailer only)
opencv-python# mask dilation and blur (cv2)
pillow>=10.1.0          # image decode for Detailer nodes and API image response (JPEG/WEBP)
ultralytics# YOLO person detection

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ Stable Diffusion XL (SDXL)⚡ Stable Diffusion 1.5

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI - Mask Bounding Box
by mikkel8.0GB VRAM
ComfyUI_FL-Trainer
by filliptm8.0GB VRAM
Atom_AI
by AtomAI-GR12.0GB VRAM
BrushNet
by nullquant8.0GB VRAM
CAS Aspect Ratio Presets Node for ComfyUI
by budihartono12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_RP_Cast require?

ComfyUI_RP_Cast requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI_RP_Cast on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom

What Python packages are required for ComfyUI_RP_Cast?

To run ComfyUI_RP_Cast, you need to install: onnxruntime# WD14 gender classification (ZImage Detailer only), opencv-python# mask dilation and blur (cv2), pillow>=10.1.0 # image decode for Detailer nodes and API image response (JPEG/WEBP), ultralytics# YOLO person detection. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI_RP_Cast in ComfyUI?

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