fix: use v1 models for large and base versions

Author: blessedcoolant

invokeai/backend/image_util/depth_anything/__init__.py

@@ -14,8 +14,8 @@
 logger = InvokeAILogger.get_logger(config=config)
 
 DEPTH_ANYTHING_MODELS = {
-    "large": "https://huggingface.co/depth-anything/Depth-Anything-V2-Large/resolve/main/depth_anything_v2_vitl.pth?download=true",
-    "base": "https://huggingface.co/depth-anything/Depth-Anything-V2-Base/resolve/main/depth_anything_v2_vitb.pth?download=true",
+    "large": "https://huggingface.co/spaces/LiheYoung/Depth-Anything/resolve/main/checkpoints/depth_anything_vitl14.pth?download=true",
+    "base": "https://huggingface.co/spaces/LiheYoung/Depth-Anything/resolve/main/checkpoints/depth_anything_vitb14.pth?download=true",
     "small": "https://huggingface.co/depth-anything/Depth-Anything-V2-Small/resolve/main/depth_anything_v2_vits.pth?download=true",
 }
 

invokeai/backend/image_util/depth_anything/v2/utils/blocks.py renamed to invokeai/backend/image_util/depth_anything/utils/blocks.py

@@ -9,9 +9,9 @@
 import torch.nn.functional as F
 from torchvision.transforms import Compose
 
+from invokeai.backend.image_util.depth_anything.utils.blocks import FeatureFusionBlock, _make_scratch
+from invokeai.backend.image_util.depth_anything.utils.transform import NormalizeImage, PrepareForNet, Resize
 from invokeai.backend.image_util.depth_anything.v2.dinov2 import DINOv2
-from invokeai.backend.image_util.depth_anything.v2.utils.blocks import FeatureFusionBlock, _make_scratch
-from invokeai.backend.image_util.depth_anything.v2.utils.transform import NormalizeImage, PrepareForNet, Resize
 
 
 def _make_fusion_block(features, use_bn, size=None):