Upload dc.py

dc.py

@@ -545,7 +545,7 @@ class GuiSD:
                 info_state = "COMPLETE"
 
             #yield info_state, img, info_images
-            return img, info_state
+            return info_state, img, info_images
 
 def dynamic_gpu_duration(func, duration, *args):
 
@@ -685,7 +685,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     gpu_duration = 59
 
     images: list[tuple[PIL.Image.Image, str | None]] = []
-    info: str = ""
+    info_state = info_images = ""
     progress(0, desc="Preparing...")
 
     if randomize_seed:
@@ -712,7 +712,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     sd_gen.load_new_model(model_name, vae, TASK_MODEL_LIST[0])
     progress(1, desc="Model loaded.")
     progress(0, desc="Starting Inference...")
-    images, info = sd_gen_generate_pipeline(prompt, negative_prompt, 1, num_inference_steps,
+    info_state, images, info_images = sd_gen_generate_pipeline(prompt, negative_prompt, 1, num_inference_steps,
         guidance_scale, True, generator, lora1, lora1_wt, lora2, lora2_wt, lora3, lora3_wt,
         lora4, lora4_wt, lora5, lora5_wt, sampler,
         height, width, model_name, vae, TASK_MODEL_LIST[0], None, "Canny", 512, 1024,