From 156a28786be9ba6352061090096462bfb1b485bb Mon Sep 17 00:00:00 2001
From: comfyanonymous <comfyanonymous@protonmail.com>
Date: Tue, 19 Nov 2024 07:31:29 -0500
Subject: [PATCH] Add boolean to InpaintModelConditioning to disable the noise
 mask.

---
 nodes.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/nodes.py b/nodes.py
index 1ac817a2..300cfcf1 100644
--- a/nodes.py
+++ b/nodes.py
@@ -382,6 +382,7 @@ class InpaintModelConditioning:
                              "vae": ("VAE", ),
                              "pixels": ("IMAGE", ),
                              "mask": ("MASK", ),
+                             "add_noise_mask": ("BOOLEAN", {"default": True, "tooltip": "Add a noise mask to the latent so sampling will only happen within the mask. Might improve results or completely break things depending on the model."}),
                              }}
 
     RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT")
@@ -390,7 +391,7 @@ class InpaintModelConditioning:
 
     CATEGORY = "conditioning/inpaint"
 
-    def encode(self, positive, negative, pixels, vae, mask):
+    def encode(self, positive, negative, pixels, vae, mask, add_noise_mask):
         x = (pixels.shape[1] // 8) * 8
         y = (pixels.shape[2] // 8) * 8
         mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
@@ -414,7 +415,8 @@ class InpaintModelConditioning:
         out_latent = {}
 
         out_latent["samples"] = orig_latent
-        out_latent["noise_mask"] = mask
+        if add_noise_mask:
+            out_latent["noise_mask"] = mask
 
         out = []
         for conditioning in [positive, negative]: