ComfyUI-fastblend

By AInsevenView on GitHub →

fastblend for comfyui, and other nodes that I write for video2video. rebatch image, my openpose

How much VRAM does ComfyUI-fastblend require?

Direct Answer: The ComfyUI node ComfyUI-fastblend 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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-fastblend?

Direct Answer: Running ComfyUI-fastblend requires installing the following Python package dependencies: cupy-cuda12x. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
cupy-cuda12x

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
AlekPet/ComfyUI_Custom_Nodes_AlekPet
by AlekPet256MB VRAM
Augment — Design Nodes for ComfyUI
by augment-lib256MB VRAM
BilboX's ComfyUI Custom Nodes
by syllebra256MB VRAM
ComfyUI Depth Anything TensorRT
by yuvraj108c128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-fastblend require?

ComfyUI-fastblend 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 ComfyUI-fastblend 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

What Python packages are required for ComfyUI-fastblend?

To run ComfyUI-fastblend, you need to install: cupy-cuda12x. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-fastblend in ComfyUI?

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