Supports TAESD models in safetensors format

comfy/latent_formats.py

@@ -20,7 +20,7 @@ class SD15(LatentFormat):
                     [-0.2829,  0.1762,  0.2721],
                     [-0.2120, -0.2616, -0.7177]
                 ]
-        self.taesd_decoder_name = "taesd_decoder.pth"
+        self.taesd_decoder_name = "taesd_decoder"
 
 class SDXL(LatentFormat):
     def __init__(self):
@@ -32,4 +32,4 @@ class SDXL(LatentFormat):
                     [ 0.0568,  0.1687, -0.0755],
                     [-0.3112, -0.2359, -0.2076]
                 ]
-        self.taesd_decoder_name = "taesdxl_decoder.pth"
+        self.taesd_decoder_name = "taesdxl_decoder"

comfy/taesd/taesd.py

@@ -50,9 +50,17 @@ class TAESD(nn.Module):
         self.encoder = Encoder()
         self.decoder = Decoder()
         if encoder_path is not None:
-            self.encoder.load_state_dict(torch.load(encoder_path, map_location="cpu", weights_only=True))
+            if encoder_path.lower().endswith(".safetensors"):
+                import safetensors.torch
+                self.encoder.load_state_dict(safetensors.torch.load_file(encoder_path, device="cpu"))
+            else:
+                self.encoder.load_state_dict(torch.load(encoder_path, map_location="cpu", weights_only=True))
         if decoder_path is not None:
-            self.decoder.load_state_dict(torch.load(decoder_path, map_location="cpu", weights_only=True))
+            if decoder_path.lower().endswith(".safetensors"):
+                import safetensors.torch
+                self.decoder.load_state_dict(safetensors.torch.load_file(decoder_path, device="cpu"))
+            else:
+                self.decoder.load_state_dict(torch.load(decoder_path, map_location="cpu", weights_only=True))
 
     @staticmethod
     def scale_latents(x):

latent_preview.py

@@ -56,7 +56,12 @@ def get_previewer(device, latent_format):
         # TODO previewer methods
         taesd_decoder_path = None
         if latent_format.taesd_decoder_name is not None:
-            taesd_decoder_path = folder_paths.get_full_path("vae_approx", latent_format.taesd_decoder_name)
+            taesd_decoder_path = next(
+                (fn for fn in folder_paths.get_filename_list("vae_approx")
+                    if fn.startswith(latent_format.taesd_decoder_name)),
+                ""
+            )
+            taesd_decoder_path = folder_paths.get_full_path("vae_approx", taesd_decoder_path)
 
         if method == LatentPreviewMethod.Auto:
             method = LatentPreviewMethod.Latent2RGB