ARC Save (sign on arrival)
Sign-on-arrival save nodes for ArcVelvetOS: ARC Save (image, stable) and ARC Save Audio (WAV, alpha). POSTs encoded media to the ArcVelvet arcIngest API; the C2PA-signed copy comes back and lands in your output directory. Server-side prompt moderation; plaintext prompts never enter the public manifest unless you opt in. Audio node is alpha — audio-content moderation (transcript scanning, voice-clone detection) not yet covered; see README before public use.
Quick Technical Summary: ARC Save (sign on arrival)
- Base VRAM Footprint:
- 1536 MB (6 GB Tier)
- Primary Dependencies:
- numpy>=1.26, pillow>=10.0, requests>=2.31
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/arcvelvetOS/comfyui-arc-save
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does ARC Save (sign on arrival) require?
Direct Answer: The ComfyUI node ARC Save (sign on arrival) requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 1536MB (1.5GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
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
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ARC Save (sign on arrival):
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
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What Python packages are required for ARC Save (sign on arrival)?
Direct Answer: Running ARC Save (sign on arrival) requires installing the following Python package dependencies: numpy>=1.26, pillow>=10.0, requests>=2.31. Ensure your ComfyUI environment has these packages active before launching.
numpy>=1.26
pillow>=10.0
requests>=2.31Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ARC Save (sign on arrival) require?
ARC Save (sign on arrival) requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ARC Save (sign on arrival) on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom
How much VRAM does ARC Save (sign on arrival) take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ARC Save (sign on arrival) runs smoothly on an RTX 3060 (12GB) with 9.3GB 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 20.1GB 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 ARC Save (sign on arrival)?
To run ARC Save (sign on arrival), you need to install: numpy>=1.26, pillow>=10.0, requests>=2.31. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ARC Save (sign on arrival)?
ARC Save (sign on arrival) 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 ARC Save (sign on arrival) in ComfyUI?
To install ARC Save (sign on arrival): (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/arcvelvetOS/comfyui-arc-save, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.