Google Moogle

By ShmuelRonenView on GitHub →

A Google Moogle is a Google Translator node for ComfyUI that provides easy-to-use text translation capabilities directly within your ComfyUI workflows.

How much VRAM does Google Moogle require?

Direct Answer: The ComfyUI node Google Moogle 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 Google Moogle?

Direct Answer: Running Google Moogle requires installing the following Python package dependencies: anyio, googletrans, sniffio, typing-extensions. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
anyio
googletrans
sniffio
typing-extensions

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:

AIYang_TripleAPI
by AlexXia007256MB VRAM
AkkiNodes LLM Suite: Your Personal AI Film Studio
by routhakash128MB VRAM
AsyncOutput
by teddy1565256MB VRAM
Auto Prompt Schedule
by ReinerBforartists256MB VRAM

Frequently Asked Questions

How much VRAM does Google Moogle require?

Google Moogle 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 Google Moogle 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 Google Moogle?

To run Google Moogle, you need to install: anyio, googletrans, sniffio, typing-extensions. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Google Moogle?

Google Moogle 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 Google Moogle in ComfyUI?

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