clarify lazy load

graphdeco-inria · Nov 25, 2023 · 7053220 · 7053220
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commit 7053220
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diff --git a/README.md b/README.md
@@ -75,6 +75,8 @@ The optimizer uses PyTorch and CUDA extensions in a Python environment to produc
 - 24 GB VRAM (to train to paper evaluation quality)
 - Please see FAQ for smaller VRAM configurations
 
+PS: 24 GB VRAM is not the minimum configuration. When using `--data_devie cpu` to lazy load image, 8GB VRAM is already sufficient to handle most scenarios.
+
 ### Software Requirements
 - Conda (recommended for easy setup)
 - C++ Compiler for PyTorch extensions (we used Visual Studio 2019 for Windows)