Upload dc.py

dc.py

@@ -823,7 +823,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     import numpy as np
     MAX_SEED = np.iinfo(np.int32).max
 
-    load_lora_cpu = True
+    load_lora_cpu = False
     verbose_info = False
     gpu_duration = 59
 
@@ -842,8 +842,8 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
 
     prompt, negative_prompt = insert_model_recom_prompt(prompt, negative_prompt, model_name)
     progress(0.5, desc="Preparing...")
-    #lora1, lora1_wt, lora2, lora2_wt, lora3, lora3_wt, lora4, lora4_wt, lora5, lora5_wt = \
-    #    set_prompt_loras(prompt, model_name, lora1, lora1_wt, lora2, lora2_wt, lora3, lora3_wt, lora4, lora4_wt, lora5, lora5_wt)
+    lora1, lora1_wt, lora2, lora2_wt, lora3, lora3_wt, lora4, lora4_wt, lora5, lora5_wt = \
+        set_prompt_loras(prompt, model_name, lora1, lora1_wt, lora2, lora2_wt, lora3, lora3_wt, lora4, lora4_wt, lora5, lora5_wt)
     lora1 = get_valid_lora_path(lora1)
     lora2 = get_valid_lora_path(lora2)
     lora3 = get_valid_lora_path(lora3)