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@ -18,7 +18,6 @@ from pydantic import (
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model_validator,
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)
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from pydantic_core import core_schema
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from pydantic_core.core_schema import FieldValidationInfo
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from imaginairy import config
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@ -90,6 +89,12 @@ class LazyLoadingImage:
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self._load_img()
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return getattr(self._img, key)
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def __setstate__(self, state):
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self.__dict__.update(state)
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def __getstate__(self):
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return self.__dict__
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def _load_img(self):
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if self._img is None:
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from PIL import Image, ImageOps
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@ -192,16 +197,10 @@ class LazyLoadingImage:
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shows filepath or url if available.
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"""
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return f"<LazyLoadingImage filepath={self._lazy_filepath} url={self._lazy_url}>"
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#
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# LazyLoadingImage = Annotated[
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# _LazyLoadingImage,
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# AfterValidator(_LazyLoadingImage.validate),
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# PlainSerializer(lambda i: str(i), return_type=str),
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# WithJsonSchema({"type": "string"}, mode="serialization"),
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# ]
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try:
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return f"<LazyLoadingImage filepath={self._lazy_filepath} url={self._lazy_url}>"
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except Exception as e: # noqa
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return f"<LazyLoadingImage RENDER EXCEPTION*{e}*>"
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class ControlNetInput(BaseModel):
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@ -218,7 +217,7 @@ class ControlNetInput(BaseModel):
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# return v
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@field_validator("image_raw")
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def image_raw_validate(cls, v, info: FieldValidationInfo):
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def image_raw_validate(cls, v, info: core_schema.FieldValidationInfo):
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if info.data.get("image") is not None and v is not None:
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raise ValueError("You cannot specify both image and image_raw")
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@ -245,7 +244,7 @@ class WeightedPrompt(BaseModel):
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return f"{self.weight}*({self.text})"
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class ImaginePrompt(BaseModel):
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class ImaginePrompt(BaseModel, protected_namespaces=()):
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prompt: Optional[List[WeightedPrompt]] = Field(default=None, validate_default=True)
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negative_prompt: Optional[List[WeightedPrompt]] = Field(
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default=None, validate_default=True
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@ -403,7 +402,7 @@ class ImaginePrompt(BaseModel):
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return v
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@field_validator("control_inputs", mode="after")
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def set_image_from_init_image(cls, v, info: FieldValidationInfo):
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def set_image_from_init_image(cls, v, info: core_schema.FieldValidationInfo):
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v = v or []
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for control_input in v:
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if control_input.image is None and control_input.image_raw is None:
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@ -411,13 +410,13 @@ class ImaginePrompt(BaseModel):
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return v
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@field_validator("mask_image")
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def validate_mask_image(cls, v, info: FieldValidationInfo):
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def validate_mask_image(cls, v, info: core_schema.FieldValidationInfo):
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if v is not None and info.data.get("mask_prompt") is not None:
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raise ValueError("You can only set one of `mask_image` and `mask_prompt`")
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return v
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@field_validator("mask_prompt", "mask_image", mode="before")
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def validate_mask_prompt(cls, v, info: FieldValidationInfo):
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def validate_mask_prompt(cls, v, info: core_schema.FieldValidationInfo):
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if info.data.get("init_image") is None and v:
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raise ValueError("You must set `init_image` if you want to use a mask")
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return v
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@ -441,7 +440,7 @@ class ImaginePrompt(BaseModel):
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return v
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@field_validator("sampler_type", mode="after")
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def validate_sampler_type(cls, v, info: FieldValidationInfo):
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def validate_sampler_type(cls, v, info: core_schema.FieldValidationInfo):
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from imaginairy.samplers import SamplerName
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if v is None:
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@ -462,7 +461,7 @@ class ImaginePrompt(BaseModel):
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return v
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@field_validator("steps")
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def validate_steps(cls, v, info: FieldValidationInfo):
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def validate_steps(cls, v, info: core_schema.FieldValidationInfo):
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from imaginairy.samplers import SAMPLER_LOOKUP
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if v is None:
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@ -484,7 +483,7 @@ class ImaginePrompt(BaseModel):
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return self
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@field_validator("height", "width")
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def validate_image_size(cls, v, info: FieldValidationInfo):
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def validate_image_size(cls, v, info: core_schema.FieldValidationInfo):
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from imaginairy.model_manager import get_model_default_image_size
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if v is None:
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Bryce
8 months ago
committed by
Bryce Drennan