ComfyUI-FlowMatching-Upscaler
Progressive upscaling node for flow-matching models that incrementally doubles resolution with flow-consistent re-noising, denoising, and skip residual blending to preserve composition.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-FlowMatching-Upscaler 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
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Python Dependencies
Direct Answer: Running ComfyUI-FlowMatching-Upscaler requires installing the following Python package dependencies: aiohttp>=3.9, einops>=0.6, numpy>=2.0, torch>=2.1. This node specifically requires PyTorch version 2.1 or newer.
aiohttp>=3.9
einops>=0.6
numpy>=2.0
torch>=2.1🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.1+.
# Loading PyTorch command...