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Address change requests in first round of PR reviews.

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Pending:

- Move model install calls into model manager and create passthrus in invocation_context.
- Consider splitting load_model_from_url() into a call to get the path and a call to load the path.
This commit is contained in:
Lincoln Stein
2024-04-24 23:53:30 -04:00
parent 34cdfc61ab
commit d72f272f16
7 changed files with 64 additions and 123 deletions
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28
invokeai/app/invocations/upscale.py
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@ -11,7 +11,6 @@ from invokeai.app.invocations.primitives import ImageOutput
from invokeai.app.services.shared.invocation_context import InvocationContext
from invokeai.backend.image_util.basicsr.rrdbnet_arch import RRDBNet
from invokeai.backend.image_util.realesrgan.realesrgan import RealESRGAN
from invokeai.backend.util.devices import TorchDevice
from .baseinvocation import BaseInvocation, invocation
from .fields import InputField, WithBoard, WithMetadata
@ -96,22 +95,21 @@ class ESRGANInvocation(BaseInvocation, WithMetadata, WithBoard):
source=ESRGAN_MODEL_URLS[self.model_name],
)
upscaler = RealESRGAN(
scale=netscale,
loadnet=loadnet.model,
model=rrdbnet_model,
half=False,
tile=self.tile_size,
)
with loadnet as loadnet_model:
upscaler = RealESRGAN(
scale=netscale,
loadnet=loadnet_model,
model=rrdbnet_model,
half=False,
tile=self.tile_size,
)
# prepare image - Real-ESRGAN uses cv2 internally, and cv2 uses BGR vs RGB for PIL
# TODO: This strips the alpha... is that okay?
cv2_image = cv2.cvtColor(np.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
upscaled_image = upscaler.upscale(cv2_image)
# prepare image - Real-ESRGAN uses cv2 internally, and cv2 uses BGR vs RGB for PIL
# TODO: This strips the alpha... is that okay?
cv2_image = cv2.cvtColor(np.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
upscaled_image = upscaler.upscale(cv2_image)
pil_image = Image.fromarray(cv2.cvtColor(upscaled_image, cv2.COLOR_BGR2RGB)).convert("RGBA")
TorchDevice.empty_cache()
pil_image = Image.fromarray(cv2.cvtColor(upscaled_image, cv2.COLOR_BGR2RGB)).convert("RGBA")
image_dto = context.images.save(image=pil_image)