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all vestiges of ldm.invoke removed

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Lincoln Stein
2023-03-03 01:02:00 -05:00
parent 6a990565ff
commit 60a98cacef
126 changed files with 8514 additions and 6520 deletions
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35
invokeai/app/invocations/upscale.py
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@ -2,37 +2,44 @@
from datetime import datetime, timezone
from typing import Literal, Union
from pydantic import Field
from .image import ImageField, ImageOutput
from .baseinvocation import BaseInvocation, InvocationContext
from ..services.image_storage import ImageType
from ..services.invocation_services import InvocationServices
from .baseinvocation import BaseInvocation, InvocationContext
from .image import ImageField, ImageOutput
class UpscaleInvocation(BaseInvocation):
"""Upscales an image."""
type: Literal['upscale'] = 'upscale'
type: Literal["upscale"] = "upscale"
# Inputs
image: Union[ImageField,None] = Field(description="The input image", default=None)
strength: float = Field(default=0.75, gt=0, le=1, description="The strength")
level: Literal[2,4] = Field(default=2, description = "The upscale level")
image: Union[ImageField, None] = Field(description="The input image", default=None)
strength: float = Field(default=0.75, gt=0, le=1, description="The strength")
level: Literal[2, 4] = Field(default=2, description="The upscale level")
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.services.images.get(self.image.image_type, self.image.image_name)
image = context.services.images.get(
self.image.image_type, self.image.image_name
)
results = context.services.generate.upscale_and_reconstruct(
image_list = [[image, 0]],
upscale = (self.level, self.strength),
strength = 0.0, # GFPGAN strength
save_original = False,
image_callback = None,
image_list=[[image, 0]],
upscale=(self.level, self.strength),
strength=0.0, # GFPGAN strength
save_original=False,
image_callback=None,
)
# Results are image and seed, unwrap for now
# TODO: can this return multiple results?
image_type = ImageType.RESULT
image_name = context.services.images.create_name(context.graph_execution_state_id, self.id)
image_name = context.services.images.create_name(
context.graph_execution_state_id, self.id
)
context.services.images.save(image_type, image_name, results[0][0])
return ImageOutput(
image = ImageField(image_type = image_type, image_name = image_name)
image=ImageField(image_type=image_type, image_name=image_name)
)