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fix merge conflicts with main

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Lincoln Stein
2024-04-15 09:24:57 -04:00
parent f1e79d5a8f e93f4d632d
commit 470a39935c
47 changed files with 476 additions and 277 deletions
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8
invokeai/backend/image_util/depth_anything/__init__.py
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@ -12,7 +12,7 @@ from invokeai.app.services.config.config_default import get_config
from invokeai.app.services.shared.invocation_context import InvocationContext
from invokeai.backend.image_util.depth_anything.model.dpt import DPT_DINOv2
from invokeai.backend.image_util.depth_anything.utilities.util import NormalizeImage, PrepareForNet, Resize
from invokeai.backend.util.devices import choose_torch_device
from invokeai.backend.util.devices import TorchDevice
from invokeai.backend.util.logging import InvokeAILogger
config = get_config()
@ -47,7 +47,7 @@ class DepthAnythingDetector:
self.context = context
self.model: Optional[DPT_DINOv2] = None
self.model_size: Union[Literal["large", "base", "small"], None] = None
self.device = choose_torch_device()
self.device = TorchDevice.choose_torch_device()
def load_model(self, model_size: Literal["large", "base", "small"] = "small") -> DPT_DINOv2:
depth_anything_model_path = self.context.models.download_and_cache_ckpt(DEPTH_ANYTHING_MODELS[model_size])
@ -68,7 +68,7 @@ class DepthAnythingDetector:
self.model.load_state_dict(torch.load(depth_anything_model_path.as_posix(), map_location="cpu"))
self.model.eval()
self.model.to(choose_torch_device())
self.model.to(self.device)
return self.model
def __call__(self, image: Image.Image, resolution: int = 512) -> Image.Image:
@ -81,7 +81,7 @@ class DepthAnythingDetector:
image_height, image_width = np_image.shape[:2]
np_image = transform({"image": np_image})["image"]
tensor_image = torch.from_numpy(np_image).unsqueeze(0).to(choose_torch_device())
tensor_image = torch.from_numpy(np_image).unsqueeze(0).to(self.device)
with torch.no_grad():
depth = self.model(tensor_image)