swtich to igwn-segments

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -69,6 +69,7 @@
   - log: processing stats reporting
   - metadata: image metadata handle correct image index
   - gguf: transformer loader
+  - scripts: mixture-of-diffusers and mixture-tiling update to use igwn-segments
 
 ## Update for 2026-08-07
 

modules/control/run.py

@@ -823,8 +823,8 @@ def control_run(state: str = '', # pylint: disable=keyword-arg-before-vararg
 
             debug_log(f'Control: pipeline units={len(active_model)} process={len(active_process)} outputs={len(output_images)}')
     except Exception as e:
-        log.error(f'Control: type={unit_type} units={len(active_model)} {e}')
-        errors.display(e, 'Control')
+        log.error(f'Generate: {e}')
+        errors.display(e, 'Generate')
 
     if len(output_images) == 0:
         output_images = None

scripts/mixture_of_diffusers.py

@@ -69,9 +69,9 @@ class MoDScript(scripts_manager.Script):
 
     def check_dependencies(self):
         from installer import install
-        install('ligo-segments')
+        install('igwn-segments')
         try:
-            from ligo.segments import segment # pylint: disable=unused-import
+            from igwn_segments import segment # pylint: disable=unused-import
             return True
         except Exception as e:
             log.error(f'MoD: {e}')

scripts/mixture_tiling.py

@@ -4,22 +4,6 @@ from modules import shared, devices, scripts_manager, processing, sd_models
 from modules.logger import log
 
 
-checked_ok = False
-
-
-def check_dependencies():
-    global checked_ok # pylint: disable=global-statement
-    from installer import install
-    install('ligo-segments')
-    try:
-        from ligo.segments import segment # pylint: disable=unused-import
-        checked_ok = True
-        return True
-    except Exception as e:
-        log.error(f'Mixture tiling: {e}')
-        return False
-
-
 class MixtureTilingScript(scripts_manager.Script):
     def title(self):
         return 'Mixture Tiling: Scene Composition'
@@ -40,10 +24,19 @@ class MixtureTilingScript(scripts_manager.Script):
             y_overlap = gr.Slider(label='Y overlap', minimum=0, maximum=1, step=0.01, value=0.5)
         return x_size, y_size, x_overlap, y_overlap
 
+    def check_dependencies(self):
+        from installer import install
+        install('igwn-segments')
+        try:
+            from igwn_segments import segment # pylint: disable=unused-import
+            return True
+        except Exception as e:
+            log.error(f'Mixture tiling: {e}')
+            return False
+
     def run(self, p: processing.StableDiffusionProcessing, x_size, y_size, x_overlap, y_overlap): # pylint: disable=arguments-differ
-        if not checked_ok:
-            if not check_dependencies():
-                return None
+        if not self.check_dependencies():
+            return None
         prompts = p.prompt.splitlines()
         if len(prompts) != x_size * y_size:
             log.error(f'Mixture tiling prompt count mismatch: prompts={len(prompts)} required={x_size * y_size}')

scripts/mod/__init__.py

@@ -52,9 +52,9 @@ from diffusers.utils.torch_utils import randn_tensor
 
 
 try:
-    from ligo.segments import segment
+    from igwn_segments import segment
 except ImportError as e:
-    raise ImportError("Please install transformers and ligo-segments to use the mixture pipeline") from e
+    raise ImportError("Please install transformers and igwn-segments to use the mixture pipeline") from e
 
 if is_torch_xla_available():
     import torch_xla.core.xla_model as xm
@@ -1138,7 +1138,9 @@ class StableDiffusionXLTilingPipeline(
                                 else guidance_scale_tiles[row][col]
                             )
                             noise_pred_tile = noise_pred_uncond + guidance * (noise_pred_text - noise_pred_uncond)
-                            noise_preds_row.append(noise_pred_tile)
+                        else:
+                            noise_pred_tile = noise_pred
+                        noise_preds_row.append(noise_pred_tile)
                     noise_preds.append(noise_preds_row)
 
                 # Stitch noise predictions for all tiles