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feat(mm): download upscaling & lama models as they are requested

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psychedelicious
2024-03-19 12:11:13 +11:00
parent 97f16b2b7e
commit fabef8b45b
3 changed files with 74 additions and 3 deletions
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8
invokeai/app/invocations/infill.py
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@ -9,6 +9,7 @@ from PIL import Image, ImageOps
from invokeai.app.invocations.fields import ColorField, ImageField
from invokeai.app.invocations.primitives import ImageOutput
from invokeai.app.services.shared.invocation_context import InvocationContext
from invokeai.app.util.download_with_progress import download_with_progress_bar
from invokeai.app.util.misc import SEED_MAX
from invokeai.backend.image_util.cv2_inpaint import cv2_inpaint
from invokeai.backend.image_util.lama import LaMA
@ -217,6 +218,13 @@ class LaMaInfillInvocation(BaseInvocation, WithMetadata, WithBoard):
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.images.get_pil(self.image.image_name)
# Downloads the LaMa model if it doesn't already exist
download_with_progress_bar(
name="LaMa Inpainting Model",
url="https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt",
dest_path=context.config.get().models_path / "core/misc/lama/lama.pt",
)
infilled = infill_lama(image.copy())
image_dto = context.images.save(image=infilled)