blepping
68fc7418d1
* Refactor noise generation Try to make option passing and CPU/GPU noise selection work Add advanced custom noise node that allows for parameter passing Add wavelet noise type * Add WaveletFilteredNoise node, other fixes * Fix Brownian arg passing * Generalized distribution noise for most torch.distributions * Distro noise improvements, add SonarAdvancedDistroNoise node * More distributions! * Add SonarResizedNoise node * Momentum sampler refactor/improvements (I hope) * Better approach to integration with external nodes Documentation updates Other cleanups * Internal cleanups and refactoring. Some integration improvements. Bump date in changelog * Add round and step to node FLOAT inputs that did not have it
126 lines
3.7 KiB
Python
126 lines
3.7 KiB
Python
from __future__ import annotations
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import contextlib
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import importlib
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import sys
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from functools import partial
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from typing import TYPE_CHECKING, Callable, NamedTuple
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if TYPE_CHECKING:
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from types import ModuleType
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class Integrations:
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class Integration(NamedTuple):
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key: str
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module_name: str
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handler: Callable | None = None
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def __init__(self):
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self.initialized = False
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self.modules = {}
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self.init_handlers = []
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self.handlers = []
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def __getitem__(self, key):
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return self.modules[key]
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def __contains__(self, key):
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return key in self.modules
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def __getattr__(self, key):
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return self.modules.get(key)
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@staticmethod
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def get_custom_node(name: str) -> ModuleType | None:
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module_key = f"custom_nodes.{name}"
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with contextlib.suppress(StopIteration):
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spec = importlib.util.find_spec(module_key)
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if spec is None:
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return None
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return next(
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v
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for v in sys.modules.copy().values()
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if hasattr(v, "__spec__")
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and v.__spec__ is not None
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and v.__spec__.origin == spec.origin
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)
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return None
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def register_init_handler(self, handler):
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self.init_handlers.append(handler)
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def register_integration(self, key: str, module_name: str, handler=None) -> None:
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if self.initialized:
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raise ValueError(
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"Internal error: Cannot register integration after initialization",
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)
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if any(item[0] == key or item[1] == module_name for item in self.handlers):
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errstr = (
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f"Module {module_name} ({key}) already in integration handlers list!"
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)
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raise ValueError(errstr)
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self.handlers.append(self.Integration(key, module_name, handler))
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def initialize(self) -> None:
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if self.initialized:
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return
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self.initialized = True
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for ih in self.handlers:
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module = self.get_custom_node(ih.module_name)
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if module is None:
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continue
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if ih.handler is not None:
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module = ih.handler(module)
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if module is not None:
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self.modules[ih.key] = module
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for init_handler in self.init_handlers:
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init_handler(self)
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class SonarIntegrations(Integrations):
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def __init__(self, *args: list, **kwargs: dict):
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super().__init__(*args, **kwargs)
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self.register_integration("bleh", "ComfyUI-bleh", self.bleh_integration)
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self.register_integration(
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"restart",
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"ComfyUI_restart_sampling",
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self.restart_integration,
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)
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@classmethod
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def bleh_integration(cls, module: ModuleType) -> ModuleType | None:
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bleh_version = getattr(module, "BLEH_VERSION", -1)
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if bleh_version < 1:
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return None
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return module
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@classmethod
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def restart_integration(cls, module: ModuleType) -> ModuleType | None:
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if hasattr(module, "restart_sampling") and hasattr(
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module.restart_sampling,
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"DEFAULT_SEGMENTS",
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):
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return module
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return None
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MODULES = SonarIntegrations()
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class IntegratedNode(type):
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@staticmethod
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def wrap_INPUT_TYPES(orig_method: Callable, *args: list, **kwargs: dict) -> dict:
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MODULES.initialize()
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return orig_method(*args, **kwargs)
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def __new__(cls: type, name: str, bases: tuple, attrs: dict) -> object:
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obj = type.__new__(cls, name, bases, attrs)
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if hasattr(obj, "INPUT_TYPES"):
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obj.INPUT_TYPES = partial(cls.wrap_INPUT_TYPES, obj.INPUT_TYPES)
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return obj
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__all__ = ("MODULES",)
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