Python class

DenoisingCacheConfig

`DenoisingCacheConfig`

class max.pipelines.modeling.base.DenoisingCacheConfig(*, config_file=None, section_name=None, first_block_caching=False, taylorseer=False, taylorseer_cache_interval=None, taylorseer_warmup_steps=None, taylorseer_max_order=None)

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Bases: ConfigFileModel

Pipeline-level cache configuration for diffusion model denoising.

Controls First-Block Cache (step cache) and TaylorSeer optimizations that skip redundant transformer passes during the denoising loop.

Parameters:

config_file (str | None)
section_name (str | None)
first_block_caching (bool)
taylorseer (bool)
taylorseer_cache_interval (int | None)
taylorseer_warmup_steps (int | None)
taylorseer_max_order (int | None)

`config_file`

config_file: str | None

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Path to the configuration file.

`first_block_caching`

first_block_caching: bool

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`model_config`

model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'frozen': False, 'strict': False}

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Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

`section_name`

section_name: str | None

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Optional section name for comprehensive/multi-section config files.

If not provided, values are loaded from the YAML top-level (treating the file as an “individual config” file).

`taylorseer`

taylorseer: bool

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`taylorseer_cache_interval`

taylorseer_cache_interval: int | None

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`taylorseer_max_order`

taylorseer_max_order: int | None

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`taylorseer_warmup_steps`

taylorseer_warmup_steps: int | None

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