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try: |
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import torch |
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from diffusers import DiffusionPipeline |
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from diffusers.utils import load_image, export_to_video |
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pipe = DiffusionPipeline.from_pretrained("ByteDance/Video-As-Prompt-Wan2.1-14B", torch_dtype=torch.float16) |
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pipe.to("cuda") |
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prompt = "A man with short gray hair plays a red electric guitar." |
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image = load_image( |
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"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" |
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) |
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output = pipe(image=image, prompt=prompt).frames[0] |
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export_to_video(output, "output.mp4") |
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with open('ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', 'w', encoding='utf-8') as f: |
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f.write('Everything was good in ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt') |
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except Exception as e: |
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import os |
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from slack_sdk import WebClient |
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client = WebClient(token=os.environ['SLACK_TOKEN']) |
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client.chat_postMessage( |
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channel='#exp-slack-alerts', |
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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>', |
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) |
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with open('ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', 'a', encoding='utf-8') as f: |
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import traceback |
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f.write('''```CODE: |
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import torch |
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from diffusers import DiffusionPipeline |
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from diffusers.utils import load_image, export_to_video |
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pipe = DiffusionPipeline.from_pretrained("ByteDance/Video-As-Prompt-Wan2.1-14B", torch_dtype=torch.float16) |
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pipe.to("cuda") |
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prompt = "A man with short gray hair plays a red electric guitar." |
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image = load_image( |
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"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" |
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) |
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output = pipe(image=image, prompt=prompt).frames[0] |
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export_to_video(output, "output.mp4") |
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``` |
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ERROR: |
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''') |
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traceback.print_exc(file=f) |
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finally: |
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from huggingface_hub import upload_file |
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upload_file( |
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path_or_fileobj='ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', |
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repo_id='model-metadata/code_execution_files', |
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path_in_repo='ByteDance_Video-As-Prompt-Wan2.1-14B_0.txt', |
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repo_type='dataset', |
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) |
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