Upload Lightricks_LTX-Video_0.py with huggingface_hub

Lightricks_LTX-Video_0.py

@@ -0,0 +1,81 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "numpy",
+#     "einops",
+#     "pandas",
+#     "matplotlib",
+#     "paddleorc",
+#     "protobuf",
+#     "torch",
+#     "sentencepiece",
+#     "torchvision",
+#     "transformers",
+#     "timm",
+#     "diffusers",
+#     "sentence-transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    import torch
+    from diffusers import DiffusionPipeline
+    from diffusers.utils import load_image, export_to_video
+    
+    # switch to "mps" for apple devices
+    pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda")
+    pipe.to("cuda")
+    
+    prompt = "A man with short gray hair plays a red electric guitar."
+    image = load_image(
+        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
+    )
+    
+    output = pipe(image=image, prompt=prompt).frames[0]
+    export_to_video(output, "output.mp4")
+    with open('Lightricks_LTX-Video_0.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in Lightricks_LTX-Video_0.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#hub-model-metadata-snippets-sprint',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/Lightricks_LTX-Video_0.txt|Lightricks_LTX-Video_0.txt>',
+    )
+
+    with open('Lightricks_LTX-Video_0.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+import torch
+from diffusers import DiffusionPipeline
+from diffusers.utils import load_image, export_to_video
+
+# switch to "mps" for apple devices
+pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda")
+pipe.to("cuda")
+
+prompt = "A man with short gray hair plays a red electric guitar."
+image = load_image(
+    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
+)
+
+output = pipe(image=image, prompt=prompt).frames[0]
+export_to_video(output, "output.mp4")
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='Lightricks_LTX-Video_0.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='Lightricks_LTX-Video_0.txt',
+        repo_type='dataset',
+    )