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app.py
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Text2Video-Zero
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</h1>
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<h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
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We built <b>Text2Video-Zero
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Text2Video-Zero also naturally supports cool derivative works of pre-trained text-to-image models such as Instruct Pix2Pix, ControlNet and DreamBooth, and based on which we present Video Instruct Pix2Pix, Pose Conditional, Edge Conditional and, Edge Conditional and DreamBooth Specialized applications.
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We hope our Text2Video-Zero will further democratize AI and empower creativity of everyone by unleashing the zero-shot video generation and editing capacity of the amazing text-to-image models and encourages future research!
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</h2>
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Text2Video-Zero
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</h1>
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<h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
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We built <b>Text2Video-Zero</b>, a first zero-shot text-to-video synthesis diffusion framework, that enables low cost yet high-quality and consistent video generation with only pre-trained text-to-image diffusion models without any training on videos or optimization!
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Text2Video-Zero also naturally supports cool derivative works of pre-trained text-to-image models such as Instruct Pix2Pix, ControlNet and DreamBooth, and based on which we present Video Instruct Pix2Pix, Pose Conditional, Edge Conditional and, Edge Conditional and DreamBooth Specialized applications.
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We hope our Text2Video-Zero will further democratize AI and empower creativity of everyone by unleashing the zero-shot video generation and editing capacity of the amazing text-to-image models and encourages future research!
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</h2>
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