printing input

app.py

@@ -154,6 +154,7 @@ def is_cropping_required(width, height):
 @spaces.GPU
 def start_tryon(human_img_dict,garm_img,garment_des, background_img, is_checked,is_checked_crop,denoise_steps,seed):
     logging.info("Starting try on")
+    print(f"Input: {human_img_dict}")
     #device = "cuda"
     device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
     

src/tryon_pipeline.py

@@ -1791,8 +1791,8 @@ class StableDiffusionXLInpaintPipeline(
                 # down,reference_features = self.UNet_Encoder(cloth,t, text_embeds_cloth,added_cond_kwargs= {"text_embeds": pooled_prompt_embeds_c, "time_ids": add_time_ids},return_dict=False)
                 down,reference_features = self.unet_encoder(cloth,t, text_embeds_cloth,return_dict=False)                
                 # garment_out, reference_features = self.garment_net(cloth, t, text_embeds_cloth)
-                print(type(reference_features))
-                print(reference_features)
+                #print(type(reference_features))
+                #print(reference_features)
                 reference_features = list(reference_features)
                 # print(len(reference_features))
                 # for elem in reference_features: