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# caT text to video
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Conditionally augmented text-to-video model. Uses pre-trained weights from modelscope text-to-video model, augmented with temporal conditioning transformers to extend generated clips and create a smooth transition between them.
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This project was trained at home as a hobby.
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# caT text to video
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Conditionally augmented text-to-video model. Uses pre-trained weights from modelscope text-to-video model, augmented with temporal conditioning transformers to extend generated clips and create a smooth transition between them.
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Supports prompt interpolation as well to change scenes during clip extensions.
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This project was trained at home as a hobby.
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