debug

app.py

@@ -62,13 +62,11 @@ pipe_canny = StableDiffusionXLControlNetImg2ImgPipeline(
     force_zeros_for_empty_prompt=False
 )
 
-@spaces.GPU
-def load_ipa(pipe):
+for pipe in [pipe_depth, pipe_canny]:
     if hasattr(pipe.unet, 'encoder_hid_proj'):
         pipe.unet.text_encoder_hid_proj = pipe.unet.encoder_hid_proj
     
     pipe.load_ip_adapter(f'{ckpt_dir_ipa}' , subfolder="", weight_name=["ip_adapter_plus_general.bin"])
-    return pipe
 
 @spaces.GPU
 def process_canny_condition(image, canny_threods=[100,200]):
@@ -97,7 +95,7 @@ def infer_depth(prompt,
           image = None, 
           ipa_img = None,
           negative_prompt = "nsfw，脸部阴影，低分辨率，糟糕的解剖结构、糟糕的手，缺失手指、质量最差、低质量、jpeg伪影、模糊、糟糕，黑脸，霓虹灯", 
-          seed = 397886929, 
+          seed = 66, 
           randomize_seed = False,
           guidance_scale = 5.0, 
           num_inference_steps = 50,
@@ -110,7 +108,7 @@ def infer_depth(prompt,
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
     init_image = resize_image(image,  MAX_IMAGE_SIZE)
-    pipe = load_ipa(pipe_depth).to("cuda")
+    pipe = pipe_depth.to("cuda")
     pipe.set_ip_adapter_scale([ip_scale])
     condi_img = process_depth_condition_midas( np.array(init_image), MAX_IMAGE_SIZE)
     image = pipe(
@@ -134,7 +132,7 @@ def infer_canny(prompt,
           image = None, 
           ipa_img = None,
           negative_prompt = "nsfw，脸部阴影，低分辨率，糟糕的解剖结构、糟糕的手，缺失手指、质量最差、低质量、jpeg伪影、模糊、糟糕，黑脸，霓虹灯", 
-          seed = 397886929, 
+          seed = 66, 
           randomize_seed = False,
           guidance_scale = 5.0, 
           num_inference_steps = 50,
@@ -147,7 +145,7 @@ def infer_canny(prompt,
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
     init_image = resize_image(image,  MAX_IMAGE_SIZE)
-    pipe = load_ipa(pipe_canny).to("cuda")
+    pipe = pipe_canny.to("cuda")
     pipe.set_ip_adapter_scale([ip_scale])
     condi_img = process_canny_condition(np.array(init_image))
     image = pipe(