Upload dc.py

dc.py

@@ -714,7 +714,6 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
         pass
     progress(1, desc="Model loaded.")
     progress(0, desc="Starting Inference...")
-    images = None
     for info_state, stream_images, info_images in 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,
@@ -729,6 +728,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     ):
         images = stream_images
     progress(1, desc="Inference completed.")
+    print(images)#
     output_image = images[0][0] if images else None
 
     return output_image