ComfyUI-TITrain

By mbrostamiView on GitHub →

Nodes:TextualInversionTrainingSDXL, TextualInversionTraining

How much VRAM does ComfyUI-TITrain require?

Direct Answer: The ComfyUI node ComfyUI-TITrain 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

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What Python packages are required for ComfyUI-TITrain?

Direct Answer: Running ComfyUI-TITrain requires installing the following Python package dependencies: accelerate>=0.16.0, ftfy, jinja2, pexpect, tensorboard, torchvision, transformers>=4.25.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate>=0.16.0
ftfy
jinja2
pexpect
tensorboard
torchvision
transformers>=4.25.1

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:

AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM
ArtyClaw Comfy Nodes
by artyclaw256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-TITrain require?

ComfyUI-TITrain 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-TITrain 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 PyTorch version does ComfyUI-TITrain need?

ComfyUI-TITrain requires the following PyTorch-related packages: torchvision. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI-TITrain?

To run ComfyUI-TITrain, you need to install: accelerate>=0.16.0, ftfy, jinja2, pexpect, tensorboard, torchvision, transformers>=4.25.1. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-TITrain in ComfyUI?

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