Update app.py

app.py

@@ -42,7 +42,7 @@ os.environ["XVERSE_PREPROCESSED_DATA"] = f"{os.getcwd()}/proprocess_data"
 # FLUX.1-schnell
 snapshot_download(
     repo_id="black-forest-labs/FLUX.1-schnell",
-    local_dir="/data/checkpoints/FLUX.1-schnell",
+    local_dir="./checkpoints/FLUX.1-schnell",
     local_dir_use_symlinks=False
 )
 
@@ -50,62 +50,62 @@ snapshot_download(
 # # FLUX.1-dev
 # snapshot_download(
 #     repo_id="black-forest-labs/FLUX.1-dev",
-#     local_dir="/data/checkpoints/FLUX.1-dev",
+#     local_dir="./checkpoints/FLUX.1-dev",
 #     local_dir_use_symlinks=False
 # )
 
 # Florence-2-large
 snapshot_download(
     repo_id="microsoft/Florence-2-large",
-    local_dir="/data/checkpoints/Florence-2-large",
+    local_dir="./checkpoints/Florence-2-large",
     local_dir_use_symlinks=False
 )
 
 # CLIP ViT Large
 snapshot_download(
     repo_id="openai/clip-vit-large-patch14",
-    local_dir="/data/checkpoints/clip-vit-large-patch14",
+    local_dir="./checkpoints/clip-vit-large-patch14",
     local_dir_use_symlinks=False
 )
 
 # DINO ViT-s16
 snapshot_download(
     repo_id="facebook/dino-vits16",
-    local_dir="/data/checkpoints/dino-vits16",
+    local_dir="./checkpoints/dino-vits16",
     local_dir_use_symlinks=False
 )
 
 # mPLUG Visual Question Answering
 snapshot_download(
     repo_id="xingjianleng/mplug_visual-question-answering_coco_large_en",
-    local_dir="/data/checkpoints/mplug_visual-question-answering_coco_large_en",
+    local_dir="./checkpoints/mplug_visual-question-answering_coco_large_en",
     local_dir_use_symlinks=False
 )
 
 # XVerse
 snapshot_download(
     repo_id="ByteDance/XVerse",
-    local_dir="/data/checkpoints/XVerse",
+    local_dir="./checkpoints/XVerse",
     local_dir_use_symlinks=False
 )
 
 hf_hub_download(
     repo_id="facebook/sam2.1-hiera-large",
-    local_dir="/data/checkpoints/",
+    local_dir="./checkpoints/",
     filename="sam2.1_hiera_large.pt",
 )
 
 
 
-os.environ["FLORENCE2_MODEL_PATH"]    = "/data/checkpoints/Florence-2-large"
-os.environ["SAM2_MODEL_PATH"]         = "/data/checkpoints/sam2.1_hiera_large.pt"
+os.environ["FLORENCE2_MODEL_PATH"]    = "./checkpoints/Florence-2-large"
+os.environ["SAM2_MODEL_PATH"]         = "./checkpoints/sam2.1_hiera_large.pt"
 os.environ["FACE_ID_MODEL_PATH"]      = "./checkpoints/model_ir_se50.pth"
-os.environ["CLIP_MODEL_PATH"]         = "/data/checkpoints/clip-vit-large-patch14"
-# os.environ["FLUX_MODEL_PATH"]         = "/data/checkpoints/FLUX.1-dev"
-os.environ["FLUX_MODEL_PATH"]         = "/data/checkpoints/FLUX.1-schnell"
+os.environ["CLIP_MODEL_PATH"]         = "./checkpoints/clip-vit-large-patch14"
+# os.environ["FLUX_MODEL_PATH"]         = "./checkpoints/FLUX.1-dev"
+os.environ["FLUX_MODEL_PATH"]         = "./checkpoints/FLUX.1-schnell"
 
-os.environ["DPG_VQA_MODEL_PATH"]      = "/data/checkpoints/mplug_visual-question-answering_coco_large_en"
-os.environ["DINO_MODEL_PATH"]         = "/data/checkpoints/dino-vits16"
+os.environ["DPG_VQA_MODEL_PATH"]      = "./checkpoints/mplug_visual-question-answering_coco_large_en"
+os.environ["DINO_MODEL_PATH"]         = "./checkpoints/dino-vits16"
 
 dtype = torch.bfloat16
 device = "cuda"
@@ -140,7 +140,7 @@ vlm_btns = []
 
 idip_checkboxes = []
 
-ckpt_root = "/data/checkpoints/XVerse"
+ckpt_root = "./checkpoints/XVerse"
 model.clear_modulation_adapters()
 model.pipe.unload_lora_weights()
 if not os.path.exists(ckpt_root):