diff --git a/modules/processing.py b/modules/processing.py
index a23607e7..2453bf99 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -34,6 +34,7 @@ from ldm.models.diffusion.ddpm import LatentDepth2ImageDiffusion
 from einops import repeat, rearrange
 from blendmodes.blend import blendLayers, BlendType
 from modules.sd_models import apply_token_merging
+from modules_forge.forge_util import apply_circular_forge
 
 
 # some of those options should not be changed at all because they would break the model, so I removed them from options.
@@ -791,7 +792,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
     p.sd_vae_name = sd_vae.get_loaded_vae_name()
     p.sd_vae_hash = sd_vae.get_loaded_vae_hash()
 
-    modules.sd_hijack.model_hijack.apply_circular(p.tiling)
+    apply_circular_forge(p.sd_model, p.tiling)
     modules.sd_hijack.model_hijack.clear_comments()
 
     p.setup_prompts()
diff --git a/modules_forge/forge_loader.py b/modules_forge/forge_loader.py
index ff53e835..4fa32be4 100644
--- a/modules_forge/forge_loader.py
+++ b/modules_forge/forge_loader.py
@@ -250,6 +250,7 @@ def load_model_for_a1111(timer, checkpoint_info=None, state_dict=None):
     sd_model.decode_first_stage = patched_decode_first_stage
     sd_model.encode_first_stage = patched_encode_first_stage
     sd_model.clip = sd_model.cond_stage_model
+    sd_model.tiling_enabled = False
     timer.record("forge finalize")
 
     sd_model.current_lora_hash = str([])
diff --git a/modules_forge/forge_util.py b/modules_forge/forge_util.py
index 4f24d85d..df47b571 100644
--- a/modules_forge/forge_util.py
+++ b/modules_forge/forge_util.py
@@ -21,6 +21,27 @@ def prepare_free_memory(aggressive=False):
     return
 
 
+def apply_circular_forge(model, tiling_enabled=False):
+    if model.tiling_enabled == tiling_enabled:
+        return
+
+    print(f'Tiling: {tiling_enabled}')
+    model.tiling_enabled = tiling_enabled
+
+    def flatten(el):
+        flattened = [flatten(children) for children in el.children()]
+        res = [el]
+        for c in flattened:
+            res += c
+        return res
+
+    layers = flatten(model)
+
+    for layer in [layer for layer in layers if 'Conv' in type(layer).__name__]:
+        layer.padding_mode = 'circular' if tiling_enabled else 'zeros'
+    return
+
+
 def HWC3(x):
     assert x.dtype == np.uint8
     if x.ndim == 2: