From 1709b8aa6942e3553ee7e5ae3810ad7c702e824f Mon Sep 17 00:00:00 2001
From: space-nuko <24979496+space-nuko@users.noreply.github.com>
Date: Tue, 16 May 2023 08:58:13 -0500
Subject: [PATCH] Comments

---
 nodes.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/nodes.py b/nodes.py
index dfc471a..8d5ff15 100644
--- a/nodes.py
+++ b/nodes.py
@@ -50,8 +50,9 @@ class OpenAICLIPLoader:
         # For my own notes (because I was confused about this earlier):
         # DD requires the use of torch.autograd.grad so it can steer the output
         # image towards CLIP embeddings by calculating loss.
-        # But it's more efficient to load tensors without support for calculating loss
-        # because most people aren't training models, they're just running inference.
+        # But it's more efficient to run operations on tensors loaded without
+        # support for calculating loss, and most people aren't training models,
+        # they're just running inference.
         # And "torch.autograd.grad" is a function mostly used for training models.
         # But because (this implementation of) guided diffusion requires autograd,
         # we have to load the tensors with inference mode off ourselves (ComfyUI