Merge pull request #14425 from akx/spandrel

Use Spandrel for upscaling and face restoration architectures

1 files changed, 27 insertions, 0 deletions

diff --git a/modules/modelloader.py b/modules/modelloader.py
index 098bcb79..f4182559 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -1,15 +1,21 @@
 from __future__ import annotations
 
+import logging
 import os
 import shutil
 import importlib
 from urllib.parse import urlparse
 
+import torch
+
 from modules import shared
 from modules.upscaler import Upscaler, UpscalerLanczos, UpscalerNearest, UpscalerNone
 from modules.paths import script_path, models_path
 
 
+logger = logging.getLogger(__name__)
+
+
 def load_file_from_url(
     url: str,
     *,
@@ -177,3 +183,24 @@ def load_upscalers():
         # Special case for UpscalerNone keeps it at the beginning of the list.
         key=lambda x: x.name.lower() if not isinstance(x.scaler, (UpscalerNone, UpscalerLanczos, UpscalerNearest)) else ""
     )
+
+
+def load_spandrel_model(
+    path: str,
+    *,
+    device: str | torch.device | None,
+    half: bool = False,
+    dtype: str | None = None,
+    expected_architecture: str | None = None,
+):
+    import spandrel
+    model = spandrel.ModelLoader(device=device).load_from_file(path)
+    if expected_architecture and model.architecture != expected_architecture:
+        raise TypeError(f"Model {path} is not a {expected_architecture} model")
+    if half:
+        model = model.model.half()
+    if dtype:
+        model = model.model.to(dtype=dtype)
+    model.eval()
+    logger.debug("Loaded %s from %s (device=%s, half=%s, dtype=%s)", model, path, device, half, dtype)
+    return model