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ConfigMixinXa Base class for all configuration classes. All configuration parameters are stored under `self.config`. Also provides the [`~ConfigMixin.from_config`] and [`~ConfigMixin.save_config`] methods for loading, downloading, and saving classes that inherit from [`ConfigMixin`]. Class attributes: - **config_name** (`str`) -- A filename under which the config should stored when calling [`~ConfigMixin.save_config`] (should be overridden by parent class). - **ignore_for_config** (`List[str]`) -- A list of attributes that should not be saved in the config (should be overridden by subclass). - **has_compatibles** (`bool`) -- Whether the class has compatible classes (should be overridden by subclass). - **_deprecated_kwargs** (`List[str]`) -- Keyword arguments that are deprecated. Note that the `init` function should only have a `kwargs` argument if at least one argument is deprecated (should be overridden by subclass). NFc <URc[SURS35eURSS5 [ US5(dUnO@[ UR 5n0UR EUEn[RSUSU35 [U5Ulg)NzMake sure that z' has defined a class name `config_name`r&_internal_dictzUpdating config from z to ) config_nameNotImplementedErrorr)r9rAdictrTloggerdebugr)r$r& internal_dict previous_dicts r*register_to_configConfigMixin.register_to_configos    #%7GGn&op p  8T"t-.."M !4!45M=t22=f=M LL0tM?S T(7r,rDreturnc SUR;=(a [URSU5nXR;nU(aZU(dSSUS[U5RSUS[U5RSUS3 n[ SS US S 9 UR U$[ S [U5RS US 35e)a7The only reason we overwrite `getattr` here is to gracefully deprecate accessing config attributes directly. See https://github.com/huggingface/diffusers/pull/3129 This function is mostly copied from PyTorch's __getattr__ overwrite: https://pytorch.org/docs/stable/_modules/torch/nn/modules/module.html#Module rTzAccessing config attribute `z` directly via 'z1' object attribute is deprecated. 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Make sure to only load configuration files of compatible classes. return_unused_kwargs (`bool`, *optional*, defaults to `False`): Whether kwargs that are not consumed by the Python class should be returned or not. kwargs (remaining dictionary of keyword arguments, *optional*): Can be used to update the configuration object (after it is loaded) and initiate the Python class. `**kwargs` are passed directly to the underlying scheduler/model's `__init__` method and eventually overwrite the same named arguments in `config`. Returns: [`ModelMixin`] or [`SchedulerMixin`]: A model or scheduler object instantiated from a config dictionary. Examples: ```python >>> from diffusers import DDPMScheduler, DDIMScheduler, PNDMScheduler >>> # Download scheduler from huggingface.co and cache. >>> scheduler = DDPMScheduler.from_pretrained("google/ddpm-cifar10-32") >>> # Instantiate DDIM scheduler class with same config as DDPM >>> scheduler = DDIMScheduler.from_config(scheduler.config) >>> # Instantiate PNDM scheduler class with same config as DDPM >>> scheduler = PNDMScheduler.from_config(scheduler.config) ``` pretrained_model_name_or_pathzFPlease make sure to provide a config as the first positional argument.zJIt is deprecated to pass a pretrained model name or path to `from_config`. Schedulerz3If you were trying to load a scheduler, please use z.from_pretrained(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0.Modelz/If you were trying to load a model, please use z.load_config(...) followed by z.from_config(...) instead. 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