diff --git a/extensions-builtin/forge_legacy_preprocessors/legacy_preprocessors/preprocessor_compiled.py b/extensions-builtin/forge_legacy_preprocessors/legacy_preprocessors/preprocessor_compiled.py
index b96cc8c8..13901cc6 100644
--- a/extensions-builtin/forge_legacy_preprocessors/legacy_preprocessors/preprocessor_compiled.py
+++ b/extensions-builtin/forge_legacy_preprocessors/legacy_preprocessors/preprocessor_compiled.py
@@ -615,7 +615,8 @@ legacy_preprocessors = {
         "priority": 100,
         "tags": [
             "MLSD"
-        ]
+        ],
+        "use_soft_projection_in_hr_fix": True
     },
     # "normal_bae": {
     #     "label": "normal_bae",
diff --git a/extensions-builtin/forge_legacy_preprocessors/scripts/legacy_preprocessors.py b/extensions-builtin/forge_legacy_preprocessors/scripts/legacy_preprocessors.py
index a2d4f8be..b90fb61f 100644
--- a/extensions-builtin/forge_legacy_preprocessors/scripts/legacy_preprocessors.py
+++ b/extensions-builtin/forge_legacy_preprocessors/scripts/legacy_preprocessors.py
@@ -59,6 +59,9 @@ class LegacyPreprocessor(Preprocessor):
             'instant-iD': ['instant_id', 'instantid'],
         }
 
+        if legacy_dict.get('use_soft_projection_in_hr_fix', False):
+            self.use_soft_projection_in_hr_fix = True
+
         self.model_filename_filters = []
         for tag in self.tags:
             tag_lower = tag.lower()
diff --git a/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py b/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py
index f970dc8a..9815b989 100644
--- a/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py
+++ b/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py
@@ -467,8 +467,11 @@ class ControlNetForForgeOfficial(scripts.Script):
             params.model.positive_advanced_weighting = soft_weighting.copy()
             params.model.negative_advanced_weighting = zero_weighting.copy()
 
-        # high-ref fix pass always use softer injections
-        if is_hr_pass or unit.control_mode == external_code.ControlMode.PROMPT.value:
+        if unit.control_mode == external_code.ControlMode.PROMPT.value:
+            params.model.positive_advanced_weighting = soft_weighting.copy()
+            params.model.negative_advanced_weighting = soft_weighting.copy()
+
+        if is_hr_pass and params.preprocessor.use_soft_projection_in_hr_fix:
             params.model.positive_advanced_weighting = soft_weighting.copy()
             params.model.negative_advanced_weighting = soft_weighting.copy()
 
diff --git a/modules_forge/supported_preprocessor.py b/modules_forge/supported_preprocessor.py
index b9914080..1dd5485d 100644
--- a/modules_forge/supported_preprocessor.py
+++ b/modules_forge/supported_preprocessor.py
@@ -32,6 +32,7 @@ class Preprocessor:
         self.sorting_priority = 0  # higher goes to top in the list
         self.corp_image_with_a1111_mask_when_in_img2img_inpaint_tab = True
         self.fill_mask_with_one_when_resize_and_fill = False
+        self.use_soft_projection_in_hr_fix = False
 
     def setup_model_patcher(self, model, load_device=None, offload_device=None, dtype=torch.float32, **kwargs):
         if load_device is None:
@@ -86,6 +87,7 @@ class PreprocessorCanny(Preprocessor):
         self.slider_1 = PreprocessorParameter(minimum=0, maximum=256, step=1, value=100, label='Low Threshold', visible=True)
         self.slider_2 = PreprocessorParameter(minimum=0, maximum=256, step=1, value=200, label='High Threshold', visible=True)
         self.sorting_priority = 100
+        self.use_soft_projection_in_hr_fix = True
 
     def __call__(self, input_image, resolution, slider_1=None, slider_2=None, slider_3=None, **kwargs):
         input_image, remove_pad = resize_image_with_pad(input_image, resolution)