update

app.py

@@ -88,33 +88,33 @@ sdxl_loras_raw = [item for item in sdxl_loras_raw if item.get("new") != True]
 hf_hub_download(
     repo_id="InstantX/InstantID",
     filename="ControlNetModel/config.json",
-#    local_dir="data/checkpoints",
+    local_dir="data/checkpoints",
 )
 hf_hub_download(
     repo_id="InstantX/InstantID",
     filename="ControlNetModel/diffusion_pytorch_model.safetensors",
-#    local_dir="data/checkpoints",
+    local_dir="data/checkpoints",
 )
 hf_hub_download(
     repo_id="InstantX/InstantID", filename="ip-adapter.bin",
-#    local_dir="data/checkpoints"
+    local_dir="data/checkpoints"
 )
 hf_hub_download(
     repo_id="latent-consistency/lcm-lora-sdxl",
     filename="pytorch_lora_weights.safetensors",
-#    local_dir="data/checkpoints",
+    local_dir="data/checkpoints",
 )
 # download antelopev2
-if not os.path.exists("/data/antelopev2.zip"):
-    gdown.download(url="https://drive.google.com/file/d/18wEUfMNohBJ4K3Ly5wpTejPfDzp-8fI8/view?usp=sharing", output="/data/", quiet=False, fuzzy=True)
-    os.system("unzip /data/antelopev2.zip -d /data/models/")
+if not os.path.exists("data/antelopev2.zip"):
+    gdown.download(url="https://drive.google.com/file/d/18wEUfMNohBJ4K3Ly5wpTejPfDzp-8fI8/view?usp=sharing", output="data/", quiet=False, fuzzy=True)
+    os.system("unzip data/antelopev2.zip -d data/models/")
 
-app = FaceAnalysis(name='antelopev2', root='/data', providers=['CPUExecutionProvider'])
+app = FaceAnalysis(name='antelopev2', root='data', providers=['CPUExecutionProvider'])
 app.prepare(ctx_id=0, det_size=(640, 640))
 
 # prepare models under ./checkpoints
-face_adapter = f'/data/checkpoints/ip-adapter.bin'
-controlnet_path = f'/data/checkpoints/ControlNetModel'
+face_adapter = f'data/checkpoints/ip-adapter.bin'
+controlnet_path = f'data/checkpoints/ControlNetModel'
 
 # load IdentityNet
 st = time.time()