Merge branch 'master' of github.com:AUTOMATIC1111/stable-diffusion-webui

2 files changed, 15 insertions, 5 deletions

diff --git a/extensions-builtin/LDSR/ldsr_model_arch.py b/extensions-builtin/LDSR/ldsr_model_arch.py
index 8b048ae0..0ad49f4e 100644
--- a/extensions-builtin/LDSR/ldsr_model_arch.py
+++ b/extensions-builtin/LDSR/ldsr_model_arch.py
@@ -1,3 +1,4 @@
+import os
 import gc
 import time
 import warnings
@@ -8,6 +9,7 @@ import torchvision
 from PIL import Image
 from einops import rearrange, repeat
 from omegaconf import OmegaConf
+import safetensors.torch
 
 from ldm.models.diffusion.ddim import DDIMSampler
 from ldm.util import instantiate_from_config, ismap
@@ -24,12 +26,16 @@ class LDSR:
         global cached_ldsr_model
 
         if shared.opts.ldsr_cached and cached_ldsr_model is not None:
-            print(f"Loading model from cache")
+            print("Loading model from cache")
             model: torch.nn.Module = cached_ldsr_model
         else:
             print(f"Loading model from {self.modelPath}")
-            pl_sd = torch.load(self.modelPath, map_location="cpu")
-            sd = pl_sd["state_dict"]
+            _, extension = os.path.splitext(self.modelPath)
+            if extension.lower() == ".safetensors":
+                pl_sd = safetensors.torch.load_file(self.modelPath, device="cpu")
+            else:
+                pl_sd = torch.load(self.modelPath, map_location="cpu")
+            sd = pl_sd["state_dict"] if "state_dict" in pl_sd else pl_sd
             config = OmegaConf.load(self.yamlPath)
             config.model.target = "ldm.models.diffusion.ddpm.LatentDiffusionV1"
             model: torch.nn.Module = instantiate_from_config(config.model)
diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py
index 29d5f94e..b8cff29b 100644
--- a/extensions-builtin/LDSR/scripts/ldsr_model.py
+++ b/extensions-builtin/LDSR/scripts/ldsr_model.py
@@ -25,6 +25,7 @@ class UpscalerLDSR(Upscaler):
         yaml_path = os.path.join(self.model_path, "project.yaml")
         old_model_path = os.path.join(self.model_path, "model.pth")
         new_model_path = os.path.join(self.model_path, "model.ckpt")
+        safetensors_model_path = os.path.join(self.model_path, "model.safetensors")
         if os.path.exists(yaml_path):
             statinfo = os.stat(yaml_path)
             if statinfo.st_size >= 10485760:
@@ -33,8 +34,11 @@ class UpscalerLDSR(Upscaler):
         if os.path.exists(old_model_path):
             print("Renaming model from model.pth to model.ckpt")
             os.rename(old_model_path, new_model_path)
-        model = load_file_from_url(url=self.model_url, model_dir=self.model_path,
-                                   file_name="model.ckpt", progress=True)
+        if os.path.exists(safetensors_model_path):
+            model = safetensors_model_path
+        else:
+            model = load_file_from_url(url=self.model_url, model_dir=self.model_path,
+                                       file_name="model.ckpt", progress=True)
         yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_path,
                                   file_name="project.yaml", progress=True)