upscale-pro
✨ Augment Upscale — Logo and image upscaler for ComfyUI. Upscale logos, icons, and brand assets to high resolution with sharp, clean results. A professional alternative to Magnific AI built directly into your ComfyUI workflow. Supports 2x upscaling via the Augment Studio API with automatic job polling and tensor output. Ideal for logo design, brand asset pipelines, print-ready artwork, and any workflow that needs crisp detail-preserving enlargement. Includes built-in flow control trigger and wait nodes for chaining multi-step pipelines. Get your API key at [a/augmentstudio.app/pricing](https://augmentstudio.app/pricing)
How much VRAM does upscale-pro require?
Direct Answer: The ComfyUI node upscale-pro requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 3072MB (3.0GB)
- Recommended GPU:
- 8GB+ 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for upscale-pro?
Direct Answer: Running upscale-pro requires installing the following Python package dependencies: numpy>=1.19.0, pillow>=8.0.0, requests>=2.25.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.
numpy>=1.19.0
pillow>=8.0.0
requests>=2.25.0
torch>=1.9.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.9.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does upscale-pro require?
upscale-pro requires a minimum of 3072MB (3.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run upscale-pro on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 11.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 18.6GB headroom
What PyTorch version does upscale-pro need?
upscale-pro requires the following PyTorch-related packages: torch>=1.9.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for upscale-pro?
To run upscale-pro, you need to install: numpy>=1.19.0, pillow>=8.0.0, requests>=2.25.0, torch>=1.9.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running upscale-pro?
upscale-pro 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 upscale-pro in ComfyUI?
To install upscale-pro: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/augment-lib/upscale-pro, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.