Upload app.py

app.py

@@ -169,7 +169,7 @@ def resize_img(input_image, max_side=640, min_side=512, size=None,
 
 @spaces.GPU
 def dress_process(garm_img, face_img, pose_img, prompt, cloth_guidance_scale, caption_guidance_scale,
-                  face_guidance_scale,self_guidance_scale, cross_guidance_scale,if_ipa, if_post, if_control, denoise_steps, seed=42):
+                  face_guidance_scale,self_guidance_scale, cross_guidance_scale,if_ipa,  if_control, denoise_steps, seed=42):
     # image_face_fusion = pipeline('face_fusion_torch', model='damo/cv_unet_face_fusion_torch',model_revision='v1.0.0')
     if prompt is None:
         prompt = "a photography of a model"
@@ -300,7 +300,7 @@ with image_blocks as demo:
             )
             # with gr.Row():
             #     is_checked_postprocess = gr.Checkbox(label="Yes", info="Use postprocess ", value=False)
-            is_checked_postprocess = False
+
         with gr.Column():
             pose_img = gr.Image(label="Pose", sources='upload', type="pil")
             with gr.Row():
@@ -353,7 +353,7 @@ with image_blocks as demo:
                 denoise_steps = gr.Number(label="Denoising Steps", minimum=20, maximum=50, value=30, step=1)
                 seed = gr.Number(label="Seed", minimum=-1, maximum=2147483647, step=1, value=20240508)
 
-    try_button.click(fn=dress_process, inputs=[garm_img, imgs, pose_img, prompt, cloth_guidance_scale, caption_guidance_scale, face_guidance_scale,self_guidance_scale, cross_guidance_scale, is_checked_face, is_checked_postprocess, is_checked_pose, denoise_steps, seed],
+    try_button.click(fn=dress_process, inputs=[garm_img, imgs, pose_img, prompt, cloth_guidance_scale, caption_guidance_scale, face_guidance_scale,self_guidance_scale, cross_guidance_scale, is_checked_face, is_checked_pose, denoise_steps, seed],
                      outputs=[image_out], api_name='IMAGDressing-v1')
 
 image_blocks.launch()