ComfyUI-fal-Connector

By badayvedatView on GitHub →

The ComfyUI-fal-Connector is a tool designed to provide an integration between ComfyUI and fal. This extension allows users to execute their ComfyUI workflows directly on [a/fal.ai](https://fal.ai/). This enables users to leverage the computational power and resources provided by fal.ai for running their ComfyUI workflows.

How much VRAM does ComfyUI-fal-Connector require?

Direct Answer: The ComfyUI node ComfyUI-fal-Connector requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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!

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

What Python packages are required for ComfyUI-fal-Connector?

Direct Answer: Running ComfyUI-fal-Connector requires installing the following Python package dependencies: fal, fal-client>=0.3.0, httpx, httpx-sse. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
fal
fal-client>=0.3.0
httpx
httpx-sse

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:

SDFXBridgeForComfyUI - ComfyUI Custom Node for SDFX Integration
by sdfxai128MB VRAM
Save Image With Callback
by WUYUDING2583128MB VRAM
comfyui-llamacpp-client
by fidecastro128MB VRAM
comfyui_workflow_state_presets
by CarlMarkswx128MB VRAM
petty-paint-comfyui-node
by mephisto83128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-fal-Connector require?

ComfyUI-fal-Connector requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-fal-Connector on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What Python packages are required for ComfyUI-fal-Connector?

To run ComfyUI-fal-Connector, you need to install: fal, fal-client>=0.3.0, httpx, httpx-sse. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-fal-Connector?

ComfyUI-fal-Connector supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI-fal-Connector in ComfyUI?

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