Upload Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.py with huggingface_hub

Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.py

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+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "transformers",
+#     "torch",
+# ]
+# ///
+
+try:
+    import torch
+    from diffusers import DiffusionPipeline
+    from diffusers.utils import load_image, export_to_video
+    
+    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B-Diffusers", torch_dtype=torch.float16)
+    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('Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.txt', 'w') as f:
+        f.write('Everything was good in Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.txt')
+except Exception as e:
+    with open('Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.txt', 'w') as f:
+        import traceback
+        traceback.print_exc(file=f)
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.txt',
+        repo_id='model-metadata/custom_code_execution_files',
+        path_in_repo='Wan-AI_Wan2.2-I2V-A14B-Diffusers_0.txt',
+        repo_type='dataset',
+    )