Use util function

modules/live_portrait/live_portrait_inferencer.py

@@ -205,11 +205,10 @@ class LivePortraitInferencer:
             crop_with_fullsize = cv2.warpAffine(crop_out, psi.crop_trans_m, get_rgb_size(psi.src_rgb), cv2.INTER_LINEAR)
             out = np.clip(psi.mask_ori * crop_with_fullsize + (1 - psi.mask_ori) * psi.src_rgb, 0, 255).astype(np.uint8)
 
-            cropped_img, out_img = Image.fromarray(crop_out), Image.fromarray(out)
             temp_out_img_path, out_img_path = get_auto_incremental_file_path(TEMP_DIR, "png"), get_auto_incremental_file_path(OUTPUTS_DIR, "png")
+            save_image(numpy_array=crop_out, output_path=temp_out_img_path)
+            save_image(numpy_array=out, output_path=out_img_path)
 
-            cropped_img.save(temp_out_img_path, compress_level=1, format="png")
-            out_img.save(out_img_path, compress_level=1, format="png")
             new_editor_link.append(es)
 
             return out