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from __future__ import annotations
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.models.modeling_utils import ModelMixin
class BitDanceImageNetAutoencoder(ModelMixin, ConfigMixin):
@register_to_config
def __init__(self, ddconfig=None, num_codebooks: int = 4, **kwargs):
super().__init__()
self.ddconfig = ddconfig
self.num_codebooks = num_codebooks
@classmethod
def from_pretrained(cls, pretrained_model_name_or_path: str, *args, **kwargs):
del pretrained_model_name_or_path, args, kwargs
return cls()
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