Kimara.ai's Advanced Watermarking Tools
The KimaraAIWatermarker custom node allows you to apply watermark text and logo overlays to images. Optionally, the watermark can be moved by the move_watermark_step amount of pixels after each generated image. To apply a moving watermark to a list of images, use the KimaraAIBatchImages node to concatenate the list into a single tensor, then use that as an input for the watermark node, as shown in the example image below.
Quick Technical Summary: Kimara.ai's Advanced Watermarking Tools
- Base VRAM Footprint:
- 256 MB (4 GB Tier)
- Primary Dependencies:
- numpy, pillow
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/kimara-ai/ComfyUI-Kimara-AI-Advanced-Watermarks
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does Kimara.ai's Advanced Watermarking Tools require?
Direct Answer: The ComfyUI node Kimara.ai's Advanced Watermarking Tools 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.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
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Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for Kimara.ai's Advanced Watermarking Tools:
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What Python packages are required for Kimara.ai's Advanced Watermarking Tools?
Direct Answer: Running Kimara.ai's Advanced Watermarking Tools requires installing the following Python package dependencies: numpy, pillow. Ensure your ComfyUI environment has these packages active before launching.
numpy
pillowInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Kimara.ai's Advanced Watermarking Tools require?
Kimara.ai's Advanced Watermarking Tools 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 Kimara.ai's Advanced Watermarking Tools 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 much VRAM does Kimara.ai's Advanced Watermarking Tools take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Kimara.ai's Advanced Watermarking Tools runs smoothly on an RTX 3060 (12GB) with 10.6GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 21.4GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What Python packages are required for Kimara.ai's Advanced Watermarking Tools?
To run Kimara.ai's Advanced Watermarking Tools, you need to install: numpy, pillow. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Kimara.ai's Advanced Watermarking Tools?
Kimara.ai's Advanced Watermarking Tools 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 Kimara.ai's Advanced Watermarking Tools in ComfyUI?
To install Kimara.ai's Advanced Watermarking Tools: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kimara-ai/ComfyUI-Kimara-AI-Advanced-Watermarks, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.