..

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import torch
-from huggingface_hub import snapshot_download
+from huggingface_hub import hf_hub_download
 
 from xora.models.autoencoders.causal_video_autoencoder import CausalVideoAutoencoder
 from xora.models.transformers.transformer3d import Transformer3DModel
@@ -24,7 +24,7 @@ hf_token = os.getenv("HF_TOKEN")
 # Set model download directory within Hugging Face Spaces
 model_path = "asset"
 if not os.path.exists(model_path):
-    snapshot_download("Lightricks/Xora", local_dir=model_path, repo_type='model', token=hf_token)
+    hf_hub_download("Lightricks/LTX-VIDEO", local_dir=model_path, repo_type='model', token=hf_token)
 
 # Global variables to load components
 vae_dir = Path(model_path) / 'vae'

requirements.txt

@@ -1,4 +1,4 @@
-huggingface_hub==0.25
+huggingface_hub
 torch
 diffusers==0.28.2
 transformers==4.44.2