Add global os declaration in run to fix UnboundLocalError

core/pipelines/sd_image_pipeline.py

@@ -84,6 +84,7 @@ class SdImagePipeline(BasePipeline):
         return deduped_paths
 
     def run(self, ui_inputs: Dict, progress):
+        global os
         progress(0, desc="Preparing models...")
         
         task_type = ui_inputs['task_type']
@@ -247,7 +248,7 @@ class SdImagePipeline(BasePipeline):
             # metadata to display.  We restore the behaviour here.
             # -----------------------------------------------------------------
             from PIL import Image, PngImagePlugin
-            import json, os
+            import json
             # Build the same param string used previously in `_gpu_logic`
             params_string = f"{ui_inputs['positive_prompt']}\nNegative prompt: {ui_inputs['negative_prompt']}\n"
             params_string += f"Steps: {ui_inputs['num_inference_steps']}, Sampler: {ui_inputs['sampler']}, Scheduler: {ui_inputs['scheduler']}, CFG scale: {ui_inputs['guidance_scale']}, Seed: {ui_inputs['seed']}, Size: {ui_inputs.get('width', 'N/A')}x{ui_inputs.get('height', 'N/A')}, Base Model: {model_display_name}"