Upload dc.py

dc.py

@@ -754,6 +754,7 @@ import numpy as np
 import random
 import json
 import shutil
+import gc
 from tagger.tagger import insert_model_recom_prompt
 from modutils import (safe_float, escape_lora_basename, to_lora_key, to_lora_path, valid_model_name, set_textual_inversion_prompt,
     get_local_model_list, get_model_pipeline, get_private_lora_model_lists, get_valid_lora_name, get_state, set_state,
@@ -864,6 +865,8 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     progress(1, desc="Inference completed.")
     output_image = images[0][0] if images else None
 
+    gc.collect()
+
     return output_image