updated app to use huggingface to download the data

app.py

@@ -6,11 +6,11 @@ import cv2
 from insightface.app import FaceAnalysis
 from insightface.utils import face_align
 import gradio as gr
+from huggingface_hub import hf_hub_download
 
 base_model_path = "SG161222/Realistic_Vision_V4.0_noVAE"
 vae_model_path = "stabilityai/sd-vae-ft-mse"
-#image_encoder_path = "h94/IP-Adapter/models/image_encoder"
-image_encoder_path = "image_encoder"
+image_encoder_path = "h94/IP-Adapter/models/image_encoder"
 ip_ckpt = "IP-Adapter-FaceID/ip-adapter-faceid-plus_sd15.bin"
 
 
@@ -41,6 +41,19 @@ pipe = StableDiffusionPipeline.from_pretrained(
     safety_checker=None
 )
 
+hf_hub_download(
+    repo_id='h94/IP-Adapter-FaceID',
+    filename='ip-adapter-faceid-plus_sd15.bin',
+    local_dir='IP-Adapter-FaceID')
+hf_hub_download(
+    repo_id='h94/IP-Adapter',
+    filename='models/image_encoder/config.json',
+    local_dir='IP-Adapter')
+hf_hub_download(
+    repo_id='h94/IP-Adapter',
+    filename='models/image_encoder/pytorch_model.bin',
+    local_dir='IP-Adapter');
+
 
 ip_model = IPAdapterFaceIDPlus(pipe, image_encoder_path, ip_ckpt, device, num_tokens=4, torch_dtype=torch_dtype)