.

app.py

@@ -176,6 +176,12 @@ hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="ip-adapter.bin",
 hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="image_encoder/pytorch_model.bin", local_dir="./checkpoints")
 hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="image_encoder/config.json", local_dir="./checkpoints")
 
+hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="LoRAs/3D_illustration/pytorch_lora_weights.safetensors", local_dir="./checkpoints")
+hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="LoRAs/Avatar_internlm/pytorch_lora_weights.safetensors", local_dir="./checkpoints")
+hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="LoRAs/Characters/pytorch_lora_weights.safetensors", local_dir="./checkpoints")
+hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="LoRAs/Storyboards/pytorch_lora_weights.safetensors", local_dir="./checkpoints")
+hf_hub_download(repo_id="briaai/ID_preservation_2.3", filename="LoRAs/Vangogh_Vanilla/pytorch_lora_weights.safetensors", local_dir="./checkpoints")
+
 
 # base_dir = "./instantID_ckpt/checkpoint_174000"
 # face_adapter = f'{base_dir}/pytorch_model.bin'
@@ -231,7 +237,7 @@ Loras_dict = {
 
 lora_names = Loras_dict.keys()
 
-lora_base_path = "./LoRAs"
+lora_base_path = "./checkpoints/LoRAs"
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed: