initial commit

modules/codeformer_model.py

@@ -0,0 +1,64 @@
+from __future__ import annotations
+
+import logging
+
+import torch
+
+from modules import (
+    devices,
+    errors,
+    face_restoration,
+    face_restoration_utils,
+    modelloader,
+    shared,
+)
+
+logger = logging.getLogger(__name__)
+
+model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'
+model_download_name = 'codeformer-v0.1.0.pth'
+
+# used by e.g. postprocessing_codeformer.py
+codeformer: face_restoration.FaceRestoration | None = None
+
+
+class FaceRestorerCodeFormer(face_restoration_utils.CommonFaceRestoration):
+    def name(self):
+        return "CodeFormer"
+
+    def load_net(self) -> torch.Module:
+        for model_path in modelloader.load_models(
+            model_path=self.model_path,
+            model_url=model_url,
+            command_path=self.model_path,
+            download_name=model_download_name,
+            ext_filter=['.pth'],
+        ):
+            return modelloader.load_spandrel_model(
+                model_path,
+                device=devices.device_codeformer,
+                expected_architecture='CodeFormer',
+            ).model
+        raise ValueError("No codeformer model found")
+
+    def get_device(self):
+        return devices.device_codeformer
+
+    def restore(self, np_image, w: float | None = None):
+        if w is None:
+            w = getattr(shared.opts, "code_former_weight", 0.5)
+
+        def restore_face(cropped_face_t):
+            assert self.net is not None
+            return self.net(cropped_face_t, weight=w, adain=True)[0]
+
+        return self.restore_with_helper(np_image, restore_face)
+
+
+def setup_model(dirname: str) -> None:
+    global codeformer
+    try:
+        codeformer = FaceRestorerCodeFormer(dirname)
+        shared.face_restorers.append(codeformer)
+    except Exception:
+        errors.report("Error setting up CodeFormer", exc_info=True)