comfyui_quasi_secure_load_image_url
Fetch PNG, JPEG, WebP and SVG images via URL. Has SSRF protection, size limits, SVG sanitisation; however, no formal security audit has been performed.
How much VRAM does comfyui_quasi_secure_load_image_url require?
Direct Answer: The ComfyUI node comfyui_quasi_secure_load_image_url requires a minimum base VRAM of 512MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 512MB (0.5GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
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 comfyui_quasi_secure_load_image_url?
Direct Answer: Running comfyui_quasi_secure_load_image_url requires installing the following Python package dependencies: aiohttp>=3.8.0, brotli>=1.0.9, defusedxml>=0.7.1, resvg-py>=0.2.0. Ensure your ComfyUI environment has these packages active before launching.
aiohttp>=3.8.0
brotli>=1.0.9
defusedxml>=0.7.1
resvg-py>=0.2.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does comfyui_quasi_secure_load_image_url require?
comfyui_quasi_secure_load_image_url requires a minimum of 512MB (0.5GB) 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 comfyui_quasi_secure_load_image_url on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 13.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.1GB headroom
What Python packages are required for comfyui_quasi_secure_load_image_url?
To run comfyui_quasi_secure_load_image_url, you need to install: aiohttp>=3.8.0, brotli>=1.0.9, defusedxml>=0.7.1, resvg-py>=0.2.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running comfyui_quasi_secure_load_image_url?
comfyui_quasi_secure_load_image_url 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 comfyui_quasi_secure_load_image_url in ComfyUI?
To install comfyui_quasi_secure_load_image_url: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/bmad4ever/comfyui_quasi_secure_load_image_url, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.