Custom nodes for llm chat with optional image input

By danielwView on GitHub →

A custom node for ComfyUI that enables Large Language Model (LLM) chat interactions with optional image input support.

How much VRAM does Custom nodes for llm chat with optional image input require?

Direct Answer: The ComfyUI node Custom nodes for llm chat with optional image input requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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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What Python packages are required for Custom nodes for llm chat with optional image input?

Direct Answer: Running Custom nodes for llm chat with optional image input requires installing the following Python package dependencies: litellm>=1.30.0, numpy>=1.24.0, pillow>=10.0.0, typing>=3.7.4. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
litellm>=1.30.0
numpy>=1.24.0
pillow>=10.0.0
typing>=3.7.4

Interactive Setup & Dependency Resolver

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

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Frequently Asked Questions

How much VRAM does Custom nodes for llm chat with optional image input require?

Custom nodes for llm chat with optional image input requires a minimum of 128MB (0.1GB) 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 Custom nodes for llm chat with optional image input on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What Python packages are required for Custom nodes for llm chat with optional image input?

To run Custom nodes for llm chat with optional image input, you need to install: litellm>=1.30.0, numpy>=1.24.0, pillow>=10.0.0, typing>=3.7.4. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Custom nodes for llm chat with optional image input?

Custom nodes for llm chat with optional image input 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 Custom nodes for llm chat with optional image input in ComfyUI?

To install Custom nodes for llm chat with optional image input: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/tianyuw/ComfyUI-LLM-API, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.