From d1d6ce29831d1b067801c3206f314258de88f683 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 25 Jan 2023 23:25:25 +0300
Subject: add edit_image_conditioning from my earlier edits in case there's an
 attempt to inegrate pix2pix properly this allows to use pix2pix model in
 img2img though it won't work well this way

---
 modules/processing.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 9e5a2f38..cb41288a 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -185,7 +185,12 @@ class StableDiffusionProcessing:
         conditioning = 2. * (conditioning - depth_min) / (depth_max - depth_min) - 1.
         return conditioning
 
-    def inpainting_image_conditioning(self, source_image, latent_image, image_mask = None):
+    def edit_image_conditioning(self, source_image):
+        conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(source_image))
+
+        return conditioning_image
+
+    def inpainting_image_conditioning(self, source_image, latent_image, image_mask=None):
         self.is_using_inpainting_conditioning = True
 
         # Handle the different mask inputs
@@ -228,6 +233,9 @@ class StableDiffusionProcessing:
         if isinstance(self.sd_model, LatentDepth2ImageDiffusion):
             return self.depth2img_image_conditioning(source_image.float() if devices.unet_needs_upcast else source_image)
 
+        if self.sd_model.cond_stage_key == "edit":
+            return self.edit_image_conditioning(source_image)
+
         if self.sampler.conditioning_key in {'hybrid', 'concat'}:
             return self.inpainting_image_conditioning(source_image.float() if devices.unet_needs_upcast else source_image, latent_image, image_mask=image_mask)
 
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