diff --git a/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py b/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py
index e679d33e..d3a2a486 100644
--- a/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py
+++ b/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py
@@ -28,6 +28,7 @@ class PreprocessorInpaintOnly(PreprocessorInpaint):
         self.name = 'inpaint_only'
         self.image = None
         self.mask = None
+        self.latent = None
 
     def process_before_every_sampling(self, process, cond, *args, **kwargs):
         self.image = kwargs['cond_before_inpaint_fix'][:, 0:3]
@@ -55,6 +56,8 @@ class PreprocessorInpaintOnly(PreprocessorInpaint):
         unet.set_model_sampler_post_cfg_function(post_cfg)
 
         process.sd_model.forge_objects.unet = unet
+
+        self.latent = latent_image
         return
 
     def process_after_every_sampling(self, process, params, *args, **kwargs):
@@ -128,6 +131,13 @@ class PreprocessorInpaintLama(PreprocessorInpaintOnly):
         result = np.concatenate([fin_color, raw_mask], axis=2)
         return result
 
+    def process_before_every_sampling(self, process, cond, *args, **kwargs):
+        super().process_before_every_sampling(process, cond, *args, **kwargs)
+        sigma_max = process.sd_model.forge_objects.unet.model.model_sampling.sigma_max
+        original_noise = kwargs['noise']
+        process.modified_noise = original_noise + self.latent.to(original_noise) / sigma_max.to(original_noise)
+        return
+
 
 add_supported_preprocessor(PreprocessorInpaint())
 
diff --git a/modules/processing.py b/modules/processing.py
index 775b0e57..a86d9b7f 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -257,6 +257,7 @@ class StableDiffusionProcessing:
         self.cached_c = StableDiffusionProcessing.cached_c
 
         self.extra_result_images = []
+        self.modified_noise = None
 
     @property
     def sd_model(self):
@@ -1256,6 +1257,10 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
                                                            c=conditioning,
                                                            uc=unconditional_conditioning)
 
+            if self.modified_noise is not None:
+                x = self.modified_noise
+                self.modified_noise = None
+
             samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
             del x
 
@@ -1365,6 +1370,10 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
                                                        c=self.hr_c,
                                                        uc=self.hr_uc)
 
+        if self.modified_noise is not None:
+            noise = self.modified_noise
+            self.modified_noise = None
+
         samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
 
         sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio())
@@ -1676,6 +1685,10 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
                                                        c=conditioning,
                                                        uc=unconditional_conditioning)
 
+        if self.modified_noise is not None:
+            x = self.modified_noise
+            self.modified_noise = None
+
         samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
 
         if self.mask is not None: