don't remove bg for single frame generation

main.py

@@ -1211,9 +1211,10 @@ def run_inference(images, video_path, frames, train_steps=100, inference_steps=1
     return run_inference_impl(images, video_path, frames, train_steps, inference_steps, fps, modelId, img_width, img_height, bg_remove, resize_inputs)
 
 
-def generate_frame(images, target_poses, train_steps=100, inference_steps=10, modelId="fine_tuned_pcdms", img_width=1920, img_height=1080, bg_remove=True, resize_inputs=True):
+def generate_frame(images, target_poses, train_steps=100, inference_steps=10, modelId="fine_tuned_pcdms", img_width=1920, img_height=1080, remove_bg=True, resize_inputs=True):
     finetune=True
     is_app=True
+    bg_remove=False
 
     dwpose, rembg_session, pcdms_model, noise_scheduler, image_encoder_p, image_encoder_g, vae, unet = load_models()
 
@@ -1235,7 +1236,7 @@ def generate_frame(images, target_poses, train_steps=100, inference_steps=10, mo
     #urls = save_temp_imgs(results)
     
     # postprocessing
-    if no_bg_final:
+    if remove_bg:
         results = [removebg(img, rembg_session, True) for img in results]
     #results = [img_pad(img, img_width, img_height, True) for img in results]