From b0f59342346b1c8b405f97c0e0bb01c6ae05c601 Mon Sep 17 00:00:00 2001
From: Aarni Koskela <akx@iki.fi>
Date: Mon, 25 Dec 2023 14:43:51 +0200
Subject: Use Spandrel for upscaling and face restoration architectures (aside
 from GFPGAN and LDSR)

---
 modules/modelloader.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

(limited to 'modules/modelloader.py')

diff --git a/modules/modelloader.py b/modules/modelloader.py
index 098bcb79..30116932 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import logging
 import os
 import shutil
 import importlib
@@ -10,6 +11,9 @@ from modules.upscaler import Upscaler, UpscalerLanczos, UpscalerNearest, Upscale
 from modules.paths import script_path, models_path
 
 
+logger = logging.getLogger(__name__)
+
+
 def load_file_from_url(
     url: str,
     *,
@@ -177,3 +181,15 @@ 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, *, device, half: bool = False, dtype=None):
+    import spandrel
+    model = spandrel.ModelLoader(device=device).load_from_file(path)
+    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
-- 
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