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						|  | try: | 
					
						
						|  | import torch | 
					
						
						|  | from diffusers import DiffusionPipeline | 
					
						
						|  | from diffusers.utils import load_image, export_to_video | 
					
						
						|  |  | 
					
						
						|  | pipe = DiffusionPipeline.from_pretrained("ByteDance/Video-As-Prompt-Wan2.1-14B", 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('ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', 'w', encoding='utf-8') as f: | 
					
						
						|  | f.write('Everything was good in ByteDance_Video-As-Prompt-Wan2.1-14B_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/ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt|ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt>', | 
					
						
						|  | ) | 
					
						
						|  |  | 
					
						
						|  | with open('ByteDance_Video-As-Prompt-Wan2.1-14B_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 | 
					
						
						|  |  | 
					
						
						|  | pipe = DiffusionPipeline.from_pretrained("ByteDance/Video-As-Prompt-Wan2.1-14B", 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") | 
					
						
						|  | ``` | 
					
						
						|  |  | 
					
						
						|  | ERROR: | 
					
						
						|  | ''') | 
					
						
						|  | traceback.print_exc(file=f) | 
					
						
						|  |  | 
					
						
						|  | finally: | 
					
						
						|  | from huggingface_hub import upload_file | 
					
						
						|  | upload_file( | 
					
						
						|  | path_or_fileobj='ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', | 
					
						
						|  | repo_id='model-metadata/code_execution_files', | 
					
						
						|  | path_in_repo='ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', | 
					
						
						|  | repo_type='dataset', | 
					
						
						|  | ) | 
					
						
						|  |  |