Ensure that exported architecture class names match the arch ID/name

libs/spandrel/spandrel/architectures/Compact/__init__.py

@@ -3,10 +3,10 @@
 from spandrel.util import KeyCondition, get_scale_and_output_channels, get_seq_len
 
 from ...__helpers.model_descriptor import Architecture, ImageModelDescriptor, StateDict
-from .__arch.SRVGG import SRVGGNetCompact
+from .__arch.SRVGG import SRVGGNetCompact as Compact
 
 
-class CompactArch(Architecture[SRVGGNetCompact]):
+class CompactArch(Architecture[Compact]):
     def __init__(
         self,
     ) -> None:
@@ -20,7 +20,7 @@ def __init__(
         )
 
     @override
-    def load(self, state_dict: StateDict) -> ImageModelDescriptor[SRVGGNetCompact]:
+    def load(self, state_dict: StateDict) -> ImageModelDescriptor[Compact]:
         state = state_dict
 
         highest_num = get_seq_len(state, "body") - 1
@@ -32,7 +32,7 @@ def load(self, state_dict: StateDict) -> ImageModelDescriptor[SRVGGNetCompact]:
         pixelshuffle_shape = state[f"body.{highest_num}.bias"].shape[0]
         scale, out_nc = get_scale_and_output_channels(pixelshuffle_shape, in_nc)
 
-        model = SRVGGNetCompact(
+        model = Compact(
             num_in_ch=in_nc,
             num_out_ch=out_nc,
             num_feat=num_feat,

libs/spandrel/spandrel/architectures/ESRGAN/__init__.py

@@ -15,7 +15,7 @@
     SizeRequirements,
     StateDict,
 )
-from .__arch.RRDB import RRDBNet
+from .__arch.RRDB import RRDBNet as ESRGAN
 
 
 def _new_to_old_arch(state: StateDict, state_map: dict, num_blocks: int):
@@ -132,7 +132,7 @@ def _to_old_arch(state: StateDict) -> StateDict:
     return _new_to_old_arch(state, state_map, num_blocks)
 
 
-class ESRGANArch(Architecture[RRDBNet]):
+class ESRGANArch(Architecture[ESRGAN]):
     def __init__(self) -> None:
         super().__init__(
             id="ESRGAN",
@@ -163,7 +163,7 @@ def __init__(self) -> None:
         )
 
     @override
-    def load(self, state_dict: StateDict) -> ImageModelDescriptor[RRDBNet]:
+    def load(self, state_dict: StateDict) -> ImageModelDescriptor[ESRGAN]:
         # default values
         in_nc: int = 3
         out_nc: int = 3
@@ -196,7 +196,7 @@ def load(self, state_dict: StateDict) -> ImageModelDescriptor[RRDBNet]:
         else:
             shuffle_factor = None
 
-        model = RRDBNet(
+        model = ESRGAN(
             in_nc=in_nc,
             out_nc=out_nc,
             num_filters=num_filters,

libs/spandrel/spandrel/architectures/GFPGAN/__init__.py

@@ -8,10 +8,10 @@
     SizeRequirements,
     StateDict,
 )
-from .__arch.gfpganv1_clean_arch import GFPGANv1Clean
+from .__arch.gfpganv1_clean_arch import GFPGANv1Clean as GFPGAN
 
 
-class GFPGANArch(Architecture[GFPGANv1Clean]):
+class GFPGANArch(Architecture[GFPGAN]):
     def __init__(self) -> None:
         super().__init__(
             id="GFPGAN",
@@ -22,7 +22,7 @@ def __init__(self) -> None:
         )
 
     @override
-    def load(self, state_dict: StateDict) -> ImageModelDescriptor[GFPGANv1Clean]:
+    def load(self, state_dict: StateDict) -> ImageModelDescriptor[GFPGAN]:
         out_size = 512
         num_style_feat = 512
         channel_multiplier = 2
@@ -34,7 +34,7 @@ def load(self, state_dict: StateDict) -> ImageModelDescriptor[GFPGANv1Clean]:
         narrow = 1
         sft_half = True
 
-        model = GFPGANv1Clean(
+        model = GFPGAN(
             out_size=out_size,
             num_style_feat=num_style_feat,
             channel_multiplier=channel_multiplier,

libs/spandrel/spandrel/architectures/SAFMNBCIE/__init__.py

@@ -10,10 +10,10 @@
     SizeRequirements,
     StateDict,
 )
-from .__arch.safmn_bcie import SAFMN_BCIE
+from .__arch.safmn_bcie import SAFMN_BCIE as SAFMNBCIE
 
 
-class SAFMNBCIEArch(Architecture[SAFMN_BCIE]):
+class SAFMNBCIEArch(Architecture[SAFMNBCIE]):
     def __init__(self) -> None:
         super().__init__(
             id="SAFMNBCIE",
@@ -37,7 +37,7 @@ def __init__(self) -> None:
         )
 
     @override
-    def load(self, state_dict: StateDict) -> ImageModelDescriptor[SAFMN_BCIE]:
+    def load(self, state_dict: StateDict) -> ImageModelDescriptor[SAFMNBCIE]:
         dim: int
         n_blocks: int = 6
         num_layers: int = 6
@@ -55,7 +55,7 @@ def load(self, state_dict: StateDict) -> ImageModelDescriptor[SAFMN_BCIE]:
         hidden_dim = state_dict["feats.0.layers.0.ccm.ccm.0.weight"].shape[0]
         ffn_scale = hidden_dim / dim
 
-        model = SAFMN_BCIE(
+        model = SAFMNBCIE(
             dim=dim,
             n_blocks=n_blocks,
             num_layers=num_layers,

tests/test_Compact.py

@@ -1,4 +1,4 @@
-from spandrel.architectures.Compact import CompactArch, SRVGGNetCompact
+from spandrel.architectures.Compact import Compact, CompactArch
 
 from .util import (
     ModelFile,
@@ -16,14 +16,14 @@
 def test_load():
     assert_loads_correctly(
         CompactArch(),
-        lambda: SRVGGNetCompact(),
-        lambda: SRVGGNetCompact(num_in_ch=1, num_out_ch=1),
-        lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3),
-        lambda: SRVGGNetCompact(num_in_ch=4, num_out_ch=4),
-        lambda: SRVGGNetCompact(num_in_ch=1, num_out_ch=3),
-        lambda: SRVGGNetCompact(num_feat=32),
-        lambda: SRVGGNetCompact(num_conv=5),
-        lambda: SRVGGNetCompact(upscale=3),
+        lambda: Compact(),
+        lambda: Compact(num_in_ch=1, num_out_ch=1),
+        lambda: Compact(num_in_ch=3, num_out_ch=3),
+        lambda: Compact(num_in_ch=4, num_out_ch=4),
+        lambda: Compact(num_in_ch=1, num_out_ch=3),
+        lambda: Compact(num_feat=32),
+        lambda: Compact(num_conv=5),
+        lambda: Compact(upscale=3),
     )
 
 
@@ -45,7 +45,7 @@ def test_Compact_realesr_general_x4v3(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, SRVGGNetCompact)
+    assert isinstance(model.model, Compact)
     assert_image_inference(
         file,
         model,
@@ -59,7 +59,7 @@ def test_Compact_community(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, SRVGGNetCompact)
+    assert isinstance(model.model, Compact)
     assert_image_inference(
         file,
         model,

tests/test_ESRGAN.py

@@ -1,4 +1,4 @@
-from spandrel.architectures.ESRGAN import ESRGANArch, RRDBNet
+from spandrel.architectures.ESRGAN import ESRGAN, ESRGANArch
 
 from .util import (
     ModelFile,
@@ -16,11 +16,11 @@
 def test_load():
     assert_loads_correctly(
         ESRGANArch(),
-        lambda: RRDBNet(in_nc=3, out_nc=3, num_filters=64, num_blocks=23, scale=4),
-        lambda: RRDBNet(in_nc=1, out_nc=3, num_filters=32, num_blocks=11, scale=2),
-        lambda: RRDBNet(in_nc=1, out_nc=1, num_filters=64, num_blocks=23, scale=1),
-        lambda: RRDBNet(in_nc=4, out_nc=4, num_filters=64, num_blocks=23, scale=8),
-        lambda: RRDBNet(scale=4, plus=True),
+        lambda: ESRGAN(in_nc=3, out_nc=3, num_filters=64, num_blocks=23, scale=4),
+        lambda: ESRGAN(in_nc=1, out_nc=3, num_filters=32, num_blocks=11, scale=2),
+        lambda: ESRGAN(in_nc=1, out_nc=1, num_filters=64, num_blocks=23, scale=1),
+        lambda: ESRGAN(in_nc=4, out_nc=4, num_filters=64, num_blocks=23, scale=8),
+        lambda: ESRGAN(scale=4, plus=True),
     )
 
 
@@ -47,7 +47,7 @@ def test_ESRGAN_community(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -61,7 +61,7 @@ def test_ESRGAN_community_2x(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -75,7 +75,7 @@ def test_ESRGAN_community_4x(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -89,7 +89,7 @@ def test_ESRGAN_community_8x(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -103,7 +103,7 @@ def test_BSRGAN(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -117,7 +117,7 @@ def test_BSRGAN_2x(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -131,7 +131,7 @@ def test_RealSR_DPED(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -145,7 +145,7 @@ def test_RealSR_JPEG(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -159,7 +159,7 @@ def test_RealESRGAN_x4plus(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -173,7 +173,7 @@ def test_RealESRGAN_x2plus(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -187,7 +187,7 @@ def test_RealESRGAN_x4plus_anime_6B(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,
@@ -201,7 +201,7 @@ def test_RealESRNet_x4plus(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, RRDBNet)
+    assert isinstance(model.model, ESRGAN)
     assert_image_inference(
         file,
         model,

tests/test_GFPGAN.py

@@ -1,4 +1,4 @@
-from spandrel.architectures.GFPGAN import GFPGANArch, GFPGANv1Clean
+from spandrel.architectures.GFPGAN import GFPGAN, GFPGANArch
 from tests.test_CodeFormer import assert_loads_correctly
 
 from .util import (
@@ -15,7 +15,7 @@
 def test_load():
     assert_loads_correctly(
         GFPGANArch(),
-        lambda: GFPGANv1Clean(),
+        lambda: GFPGAN(),
     )
 
 
@@ -25,7 +25,7 @@ def test_GFPGAN_1_2(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, GFPGANv1Clean)
+    assert isinstance(model.model, GFPGAN)
 
 
 def test_GFPGAN_1_3(snapshot):
@@ -34,7 +34,7 @@ def test_GFPGAN_1_3(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, GFPGANv1Clean)
+    assert isinstance(model.model, GFPGAN)
 
 
 def test_GFPGAN_1_4(snapshot):
@@ -43,7 +43,7 @@ def test_GFPGAN_1_4(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, GFPGANv1Clean)
+    assert isinstance(model.model, GFPGAN)
     assert_image_inference(
         model_file=file,
         model=model,

tests/test_SAFMNBCIE.py

@@ -1,4 +1,4 @@
-from spandrel.architectures.SAFMNBCIE import SAFMN_BCIE, SAFMNBCIEArch
+from spandrel.architectures.SAFMNBCIE import SAFMNBCIE, SAFMNBCIEArch
 
 from .util import (
     ModelFile,
@@ -16,13 +16,13 @@
 def test_load():
     assert_loads_correctly(
         SAFMNBCIEArch(),
-        lambda: SAFMN_BCIE(
+        lambda: SAFMNBCIE(
             dim=36, n_blocks=8, num_layers=1, ffn_scale=2.0, upscaling_factor=4
         ),
-        lambda: SAFMN_BCIE(
+        lambda: SAFMNBCIE(
             dim=36, n_blocks=8, num_layers=3, ffn_scale=3.0, upscaling_factor=3
         ),
-        lambda: SAFMN_BCIE(
+        lambda: SAFMNBCIE(
             dim=8, n_blocks=3, num_layers=4, ffn_scale=5.0, upscaling_factor=2
         ),
     )
@@ -41,5 +41,5 @@ def test_SAFMN_BCIE(snapshot):
     )
     model = file.load_model()
     assert model == snapshot(exclude=disallowed_props)
-    assert isinstance(model.model, SAFMN_BCIE)
+    assert isinstance(model.model, SAFMNBCIE)
     assert_image_inference(file, model, [TestImage.JPEG_15])