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Provide antialias argument as behaviour will be changed in future(deprecation warning)

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Sergey Borisov 2023-08-27 20:04:55 +03:00
parent 1811b54727
commit 526c7e7737
2 changed files with 3 additions and 3 deletions
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4
invokeai/app/invocations/latent.py
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@ -102,7 +102,7 @@ class CreateDenoiseMaskInvocation(BaseInvocation):
context=context,
)
img_mask = tv_resize(mask, image.shape[-2:], T.InterpolationMode.BILINEAR)
img_mask = tv_resize(mask, image.shape[-2:], T.InterpolationMode.BILINEAR, antialias=False)
masked_image = image * torch.where(img_mask < 0.5, 0.0, 1.0)
# TODO:
masked_latents = ImageToLatentsInvocation.vae_encode(vae_info, self.fp32, self.tiled, masked_image.clone())
@ -404,7 +404,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
return None, None
mask = context.services.latents.get(self.denoise_mask.mask_name)
mask = tv_resize(mask, latents.shape[-2:], T.InterpolationMode.BILINEAR)
mask = tv_resize(mask, latents.shape[-2:], T.InterpolationMode.BILINEAR, antialias=False)
if self.denoise_mask.masked_latents_name is not None:
masked_latents = context.services.latents.get(self.denoise_mask.masked_latents_name)
else:

2
invokeai/backend/stable_diffusion/diffusers_pipeline.py
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@ -144,7 +144,7 @@ def image_resized_to_grid_as_tensor(image: PIL.Image.Image, normalize: bool = Tr
w, h = trim_to_multiple_of(*image.size, multiple_of=multiple_of)
transformation = T.Compose(
[
T.Resize((h, w), T.InterpolationMode.LANCZOS),
T.Resize((h, w), T.InterpolationMode.LANCZOS, antialias=False),
T.ToTensor(),
]
)