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Python class

DenoisingCacheConfig

DenoisingCacheConfig

class max.pipelines.diffusion.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)

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].

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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