mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
from enum import Enum
|
|
from typing import Optional, Tuple
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class ImageType(str, Enum):
|
|
RESULT = "results"
|
|
INTERMEDIATE = "intermediates"
|
|
UPLOAD = "uploads"
|
|
|
|
|
|
def is_image_type(obj):
|
|
try:
|
|
ImageType(obj)
|
|
except ValueError:
|
|
return False
|
|
return True
|
|
|
|
|
|
class ImageField(BaseModel):
|
|
"""An image field used for passing image objects between invocations"""
|
|
|
|
image_type: ImageType = Field(
|
|
default=ImageType.RESULT, description="The type of the image"
|
|
)
|
|
image_name: Optional[str] = Field(default=None, description="The name of the image")
|
|
|
|
class Config:
|
|
schema_extra = {"required": ["image_type", "image_name"]}
|
|
|
|
|
|
class ColorField(BaseModel):
|
|
r: int = Field(ge=0, le=255, description="The red component")
|
|
g: int = Field(ge=0, le=255, description="The green component")
|
|
b: int = Field(ge=0, le=255, description="The blue component")
|
|
a: int = Field(ge=0, le=255, description="The alpha component")
|
|
|
|
def tuple(self) -> Tuple[int, int, int, int]:
|
|
return (self.r, self.g, self.b, self.a)
|