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fixed hubconf model name
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docs/static/dismo.pdf

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hubconf.py

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dependencies = ["torch", "einops", "jaxtyping"]
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def cogvideox5b_i2v(*, pretrained: bool = True, vae_slicing: bool = True, vae_tiling: bool = True, **kwargs):
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def cogvideox5b_i2v_large(*, pretrained: bool = True, vae_slicing: bool = True, vae_tiling: bool = True, **kwargs):
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"""
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Adapted CogVideoX-5B-I2V model.
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"""

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