Update app.py

app.py

@@ -21,21 +21,24 @@ torch.backends.cudnn.benchmark = True
 #torch.backends.cuda.preferred_linalg_library="cusolver"
 torch.set_float32_matmul_precision("highest")
 os.putenv("HF_HUB_ENABLE_HF_TRANSFER","1")
-HF_TOKEN = os.getenv("HF_TOKEN")
+#HF_TOKEN = os.getenv("HF_TOKEN")
 os.environ["SAFETENSORS_FAST_GPU"] = "1"
 MAX_SEED = np.iinfo(np.int64).max
 
-single_file_url = "https://huggingface.co/Lightricks/LTX-Video/ltx-video-2b-v0.9.1.safetensors"
+#single_file_url = "https://huggingface.co/Lightricks/LTX-Video/ltx-video-2b-v0.9.1.safetensors"
+single_file_url = "https://huggingface.co/Lightricks/LTX-Video/ltx-video-2b-v0.9.5.safetensors"
 
 pipe = LTXImageToVideoPipeline.from_pretrained(
     "Lightricks/LTX-Video",
-    token=HF_TOKEN,
+    #token=HF_TOKEN,
     transformer=None,
     text_encoder=None,
 ).to(torch.device("cuda"),torch.bfloat16)
 
 text_encoder = T5EncoderModel.from_pretrained("Lightricks/LTX-Video",subfolder='text_encoder',token=True).to(torch.device("cuda"),torch.bfloat16)
-transformer = LTXVideoTransformer3DModel.from_single_file(single_file_url,token=HF_TOKEN).to(torch.device("cuda"),torch.bfloat16)
+transformer = LTXVideoTransformer3DModel.from_single_file(single_file_url,
+                                                          #token=HF_TOKEN
+                                                         ).to(torch.device("cuda"),torch.bfloat16)
 
 @spaces.GPU(duration=80)
 def generate_video(
@@ -93,4 +96,4 @@ iface = gr.Interface(
     description="Generate video from image with LTX-Image-to-Video.",
 )
 
-iface.launch()
+iface.launch(share = True)