type lint

api/onnx_web/chain/tile.py

@@ -25,7 +25,7 @@ class TileCallback(Protocol):
     Definition for a tile job function.
     """
 
-    def __call__(self, image: Image.Image, dims: Tuple[int, int, int]) -> StageResult:
+    def __call__(self, sources: List[Image.Image], mask: Image.Image, dims: Tuple[int, int, int]) -> StageResult:
         """
         Run this stage against a single tile.
         """
@@ -366,10 +366,7 @@ def process_tile_order(
     scale: int,
     filters: List[TileCallback],
     **kwargs,
-) -> Image.Image:
+) -> List[Image.Image]:
-    """
-    TODO: needs to handle more than one image
-    """
     if order == TileOrder.grid:
         logger.debug("using grid tile order with tile size: %s", tile)
         return process_tile_stack(
@@ -483,7 +480,7 @@ def generate_tile_grid(
     height: int,
     tile: int,
     overlap: float = 0.0,
-) -> List[Tuple[int, int]]:
+) -> List[Tuple[int, int, Image.Image]]:
     adj_tile = int(float(tile) * (1.0 - overlap))
     tiles_x = ceil(width / adj_tile)
     tiles_y = ceil(height / adj_tile)

api/onnx_web/server/params.py

@@ -1,5 +1,5 @@
 from logging import getLogger
-from typing import Dict, Optional, Tuple
+from typing import Dict, Optional, Tuple, Union
 
 from flask import request
 
@@ -345,7 +345,7 @@ PipelineParams = Tuple[Optional[DeviceParams], ImageParams, Size]
 
 def pipeline_from_json(
     server: ServerContext,
-    data: Dict[str, str],
+    data: Dict[str, Union[str, Dict[str, str]]],
     default_pipeline: str = "txt2img",
 ) -> PipelineParams:
     """

api/pyproject.toml

@@ -23,9 +23,14 @@ module = [
     "basicsr",
     "boto3",
     "codeformer",
-    "codeformer.facelib.utils.misc",
+    "codeformer.basicsr",
-    "codeformer.facelib.utils",
+    "codeformer.basicsr.utils",
+    "codeformer.basicsr.utils.download_util",
+    "codeformer.basicsr.utils.registry",
     "codeformer.facelib",
+    "codeformer.facelib.utils",
+    "codeformer.facelib.utils.misc",
+    "codeformer.facelib.utils.face_restoration_helper",
     "compel",
     "controlnet_aux",
     "cv2",
@@ -73,6 +78,7 @@ module = [
     "safetensors",
     "scipy",
     "timm.models.layers",
+    "torchvision.transforms.functional",
     "transformers",
     "win10toast"
 ]