Update app.py

app.py

@@ -33,14 +33,16 @@ single_file_url = "https://huggingface.co/Lightricks/LTX-Video/ltx-video-2b-v0.9
 #vaeX = AutoencoderKLLTXVideo.from_pretrained("Lightricks/LTX-Video",subfolder='vae',token=HF_TOKEN)
 
 pipe = LTXImageToVideoPipeline.from_pretrained(
-    "Lightricks/LTX-Video",
+    #"Lightricks/LTX-Video",
+    'a-r-r-o-w/LTX-Video-0.9.1-diffusers',
     token=HF_TOKEN,
-    transformer=None,
+    #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)
+#text_encoder = T5EncoderModel.from_pretrained("Lightricks/LTX-Video",subfolder='text_encoder',token=True).to(torch.device("cuda"),torch.bfloat16)
+text_encoder = T5EncoderModel.from_pretrained("a-r-r-o-w/LTX-Video-0.9.1-diffusers",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)
 
 @spaces.GPU(duration=80)
 def generate_video(
@@ -56,7 +58,7 @@ def generate_video(
     progress=gr.Progress(track_tqdm=True)
 ):
     pipe.text_encoder=text_encoder
-    pipe.transformer=transformer
+  #  pipe.transformer=transformer
     seed=random.randint(0, MAX_SEED)
     generator = torch.Generator(device="cuda").manual_seed(seed)
     image = Image.open(image_url).convert("RGB")