Claude CLI (Vision+Text)

By RandyHaylorView on GitHub →

Call the local `claude` CLI from ComfyUI for vision+text or text-only completions. Uses your existing `claude login` OAuth (no API key required). Supports UUID session reuse for prompt-cache savings, with session token-usage tracking. Additional utility nodes: `Split Image Batch to List of Image Batches` (takes a large incoming batch and splits it into a list of smaller sub-batches with start/end index outputs, so you can send N images at a time — e.g. pairs — to the Claude CLI node along with their original batch indices for tracking), `Indexed 2x2 Grid from Batch`, `Select Images (Bounds Safe)`, and `Image Batch Current Index`. Optional headless API-key mode.

How much VRAM does Claude CLI (Vision+Text) require?

Direct Answer: The ComfyUI node Claude CLI (Vision+Text) 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!

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Frequently Asked Questions

How much VRAM does Claude CLI (Vision+Text) require?

Claude CLI (Vision+Text) 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 Claude CLI (Vision+Text) 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

How can I reduce VRAM usage when running Claude CLI (Vision+Text)?

Claude CLI (Vision+Text) 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 Claude CLI (Vision+Text) in ComfyUI?

To install Claude CLI (Vision+Text): (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/RandyHaylor/comfyui-claude-cli-vision-text-node, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.