Upload app.py

app.py

@@ -52,8 +52,10 @@ NEG_PROMPT = (
 # ── model loading (once at startup, lives in CPU RAM between GPU requests) ─────
 print("Loading VOID pipeline …")
 
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
 # Download base model to local cache (custom from_pretrained needs a local path)
-base_model_path = snapshot_download(repo_id=BASE_MODEL_ID)
+base_model_path = snapshot_download(repo_id=BASE_MODEL_ID, token=HF_TOKEN)
 
 transformer = CogVideoXTransformer3DModel.from_pretrained(
     base_model_path,
@@ -65,7 +67,7 @@ transformer = CogVideoXTransformer3DModel.from_pretrained(
 ).to(WEIGHT_DTYPE)
 
 # Load VOID Pass-1 checkpoint
-ckpt_path  = hf_hub_download(repo_id=VOID_MODEL_ID, filename=VOID_CKPT_FILE)
+ckpt_path  = hf_hub_download(repo_id=VOID_MODEL_ID, filename=VOID_CKPT_FILE, token=HF_TOKEN)
 state_dict = load_file(ckpt_path)
 state_dict = state_dict.get("state_dict", state_dict)