Files
ComfyUI-Lora-Manager/py/utils/models.py

109 lines
4.5 KiB
Python

from dataclasses import dataclass, asdict
from typing import Dict, Optional, List
from datetime import datetime
import os
from .model_utils import determine_base_model
@dataclass
class BaseModelMetadata:
"""Base class for all model metadata structures"""
file_name: str # The filename without extension
model_name: str # The model's name defined by the creator
file_path: str # Full path to the model file
size: int # File size in bytes
modified: float # Last modified timestamp
sha256: str # SHA256 hash of the file
base_model: str # Base model type (SD1.5/SD2.1/SDXL/etc.)
preview_url: str # Preview image URL
preview_nsfw_level: int = 0 # NSFW level of the preview image
notes: str = "" # Additional notes
from_civitai: bool = True # Whether from Civitai
civitai: Optional[Dict] = None # Civitai API data if available
tags: List[str] = None # Model tags
modelDescription: str = "" # Full model description
civitai_deleted: bool = False # Whether deleted from Civitai
def __post_init__(self):
# Initialize empty lists to avoid mutable default parameter issue
if self.tags is None:
self.tags = []
@classmethod
def from_dict(cls, data: Dict) -> 'BaseModelMetadata':
"""Create instance from dictionary"""
data_copy = data.copy()
return cls(**data_copy)
def to_dict(self) -> Dict:
"""Convert to dictionary for JSON serialization"""
return asdict(self)
@property
def modified_datetime(self) -> datetime:
"""Convert modified timestamp to datetime object"""
return datetime.fromtimestamp(self.modified)
def update_civitai_info(self, civitai_data: Dict) -> None:
"""Update Civitai information"""
self.civitai = civitai_data
def update_file_info(self, file_path: str) -> None:
"""Update metadata with actual file information"""
if os.path.exists(file_path):
self.size = os.path.getsize(file_path)
self.modified = os.path.getmtime(file_path)
self.file_path = file_path.replace(os.sep, '/')
@dataclass
class LoraMetadata(BaseModelMetadata):
"""Represents the metadata structure for a Lora model"""
usage_tips: str = "{}" # Usage tips for the model, json string
@classmethod
def from_civitai_info(cls, version_info: Dict, file_info: Dict, save_path: str) -> 'LoraMetadata':
"""Create LoraMetadata instance from Civitai version info"""
file_name = file_info['name']
base_model = determine_base_model(version_info.get('baseModel', ''))
return cls(
file_name=os.path.splitext(file_name)[0],
model_name=version_info.get('model').get('name', os.path.splitext(file_name)[0]),
file_path=save_path.replace(os.sep, '/'),
size=file_info.get('sizeKB', 0) * 1024,
modified=datetime.now().timestamp(),
sha256=file_info['hashes'].get('SHA256', '').lower(),
base_model=base_model,
preview_url=None, # Will be updated after preview download
preview_nsfw_level=0, # Will be updated after preview download
from_civitai=True,
civitai=version_info
)
@dataclass
class CheckpointMetadata(BaseModelMetadata):
"""Represents the metadata structure for a Checkpoint model"""
model_type: str = "checkpoint" # Model type (checkpoint, inpainting, etc.)
@classmethod
def from_civitai_info(cls, version_info: Dict, file_info: Dict, save_path: str) -> 'CheckpointMetadata':
"""Create CheckpointMetadata instance from Civitai version info"""
file_name = file_info['name']
base_model = determine_base_model(version_info.get('baseModel', ''))
model_type = version_info.get('type', 'checkpoint')
return cls(
file_name=os.path.splitext(file_name)[0],
model_name=version_info.get('model').get('name', os.path.splitext(file_name)[0]),
file_path=save_path.replace(os.sep, '/'),
size=file_info.get('sizeKB', 0) * 1024,
modified=datetime.now().timestamp(),
sha256=file_info['hashes'].get('SHA256', '').lower(),
base_model=base_model,
preview_url=None, # Will be updated after preview download
preview_nsfw_level=0,
from_civitai=True,
civitai=version_info,
model_type=model_type
)