add lower_body options

app.py

@@ -122,7 +122,7 @@ pipe = TryonPipeline.from_pretrained(
 pipe.unet_encoder = UNet_Encoder
 
 @spaces.GPU
-def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_steps,seed):
+def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_steps,seed,area):
     device = "cuda"
     
     openpose_model.preprocessor.body_estimation.model.to(device)
@@ -154,7 +154,7 @@ def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_ste
     if is_checked:
         keypoints = openpose_model(human_img.resize((384,512)))
         model_parse, _ = parsing_model(human_img.resize((384,512)))
-        mask, mask_gray = get_mask_location('hd', "upper_body", model_parse, keypoints)
+        mask, mask_gray = get_mask_location('hd', area, model_parse, keypoints)
         mask = mask.resize((768,1024))
     # else:
         # mask = pil_to_binary_mask(dict['layers'][0].convert("RGB").resize((768, 1024)))
@@ -284,6 +284,8 @@ with image_blocks as demo:
                 with gr.Row():
                     denoise_steps = gr.Number(label="Denoising Steps", minimum=20, maximum=40, value=30, step=1)
                     seed = gr.Number(label="Seed", minimum=-1, maximum=2147483647, step=1, value=42)
+                with gr.Row():
+                    area = gr.Dropdown(["upper_body","lower_body"], label="garment zone")
                 with gr.Row():
                     is_checked = gr.Checkbox(label="Yes", info="Use auto-generated mask (Takes 5 seconds)",value=True,visible=False)
                 with gr.Row():
@@ -305,7 +307,7 @@ with image_blocks as demo:
 
 
 
-    try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked,is_checked_crop, denoise_steps, seed], outputs=[image_out], api_name='tryon')
+    try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked,is_checked_crop, denoise_steps, seed, area], outputs=[image_out], api_name='tryon')