Smart Load Image

By aiark032025View on GitHub →

A single custom node, Load Image (Smart), that addresses several shortcomings of ComfyUI's built-in image loaders. It includes: Base folder selector – choose between output and input; subfolder selector – lists single-level subfolders of the selected base folder; videos filtered out – the image list only shows files whose mimetype is an image; selection survives reloads – unlike the built-in Load Image (Outputs) node, the saved selection is preserved when a workflow is reloaded or refreshed.

How much VRAM does Smart Load Image require?

Direct Answer: The ComfyUI node Smart Load Image 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:
✗ Not supported
Estimation Confidence:
MEDIUM

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!

Deploy on High-Performance GPUs

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

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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

🚀 Deploy on RunPod

Related Custom Nodes

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

Animated Mask Editor
by bisam204.0GB VRAM
ComfyBreakAnim
by LonicaMewinsky4.0GB VRAM
ComfyTimeline
by FemtoStudio4.0GB VRAM
ComfyUI ASCII Art Nodes
by LamEmil4.0GB VRAM
ComfyUI Brightwire Tools
by doctomiko4.0GB VRAM

Frequently Asked Questions

How much VRAM does Smart Load Image require?

Smart Load Image 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 Smart Load Image on an RTX 3060, RTX 4070, or RTX 4090?

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

How do I install Smart Load Image in ComfyUI?

To install Smart Load Image: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/aiark032025/comfyui_smart_load_image, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.