mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
88 lines
2.7 KiB
Python
88 lines
2.7 KiB
Python
import os
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import torch
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from pathlib import Path
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from typing import Optional, Union, Literal
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from .base import (
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ModelBase,
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ModelConfigBase,
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BaseModelType,
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ModelType,
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SubModelType,
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EmptyConfigLoader,
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calc_model_size_by_fs,
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calc_model_size_by_data,
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classproperty,
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)
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class ControlNetModel(ModelBase):
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#model_class: Type
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#model_size: int
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class Config(ModelConfigBase):
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format: Union[Literal["checkpoint"], Literal["diffusers"]]
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def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
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assert model_type == ModelType.ControlNet
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super().__init__(model_path, base_model, model_type)
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try:
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config = EmptyConfigLoader.load_config(self.model_path, config_name="config.json")
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#config = json.loads(os.path.join(self.model_path, "config.json"))
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except:
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raise Exception("Invalid controlnet model! (config.json not found or invalid)")
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model_class_name = config.get("_class_name", None)
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if model_class_name not in {"ControlNetModel"}:
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raise Exception(f"Invalid ControlNet model! Unknown _class_name: {model_class_name}")
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try:
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self.model_class = self._hf_definition_to_type(["diffusers", model_class_name])
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self.model_size = calc_model_size_by_fs(self.model_path)
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except:
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raise Exception("Invalid ControlNet model!")
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def get_size(self, child_type: Optional[SubModelType] = None):
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if child_type is not None:
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raise Exception("There is no child models in controlnet model")
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return self.model_size
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def get_model(
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self,
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torch_dtype: Optional[torch.dtype],
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child_type: Optional[SubModelType] = None,
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):
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if child_type is not None:
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raise Exception("There is no child models in controlnet model")
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model = self.model_class.from_pretrained(
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self.model_path,
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torch_dtype=torch_dtype,
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)
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# calc more accurate size
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self.model_size = calc_model_size_by_data(model)
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return model
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@classproperty
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def save_to_config(cls) -> bool:
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return False
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@classmethod
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def detect_format(cls, path: str):
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if os.path.isdir(path):
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return "diffusers"
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else:
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return "checkpoint"
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@classmethod
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def convert_if_required(
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cls,
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model_path: str,
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output_path: str,
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config: ModelConfigBase, # empty config or config of parent model
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base_model: BaseModelType,
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) -> str:
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if cls.detect_format(model_path) != "diffusers":
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raise NotImlemetedError("Checkpoint controlnet models currently unsupported")
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else:
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return model_path
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