unet -> diffusion_models.

comfy/sd.py

@@ -670,10 +670,13 @@ def save_checkpoint(output_path, model, clip=None, vae=None, clip_vision=None, m
     if clip is not None:
         load_models.append(clip.load_model())
         clip_sd = clip.get_sd()
+    vae_sd = None
+    if vae is not None:
+        vae_sd = vae.get_sd()
 
     model_management.load_models_gpu(load_models, force_patch_weights=True)
     clip_vision_sd = clip_vision.get_sd() if clip_vision is not None else None
-    sd = model.model.state_dict_for_saving(clip_sd, vae.get_sd(), clip_vision_sd)
+    sd = model.model.state_dict_for_saving(clip_sd, vae_sd, clip_vision_sd)
     for k in extra_keys:
         sd[k] = extra_keys[k]
 

folder_paths.py

@@ -17,7 +17,7 @@ folder_names_and_paths["configs"] = ([os.path.join(models_dir, "configs")], [".y
 folder_names_and_paths["loras"] = ([os.path.join(models_dir, "loras")], supported_pt_extensions)
 folder_names_and_paths["vae"] = ([os.path.join(models_dir, "vae")], supported_pt_extensions)
 folder_names_and_paths["clip"] = ([os.path.join(models_dir, "clip")], supported_pt_extensions)
-folder_names_and_paths["unet"] = ([os.path.join(models_dir, "unet")], supported_pt_extensions)
+folder_names_and_paths["diffusion_models"] = ([os.path.join(models_dir, "unet"), os.path.join(models_dir, "diffusion_models")], supported_pt_extensions)
 folder_names_and_paths["clip_vision"] = ([os.path.join(models_dir, "clip_vision")], supported_pt_extensions)
 folder_names_and_paths["style_models"] = ([os.path.join(models_dir, "style_models")], supported_pt_extensions)
 folder_names_and_paths["embeddings"] = ([os.path.join(models_dir, "embeddings")], supported_pt_extensions)
@@ -44,6 +44,10 @@ user_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "user
 
 filename_list_cache: dict[str, tuple[list[str], dict[str, float], float]] = {}
 
+def map_legacy(folder_name: str) -> str:
+    legacy = {"unet": "diffusion_models"}
+    return legacy.get(folder_name, folder_name)
+
 if not os.path.exists(input_directory):
     try:
         os.makedirs(input_directory)
@@ -128,12 +132,14 @@ def exists_annotated_filepath(name) -> bool:
 
 def add_model_folder_path(folder_name: str, full_folder_path: str) -> None:
     global folder_names_and_paths
+    folder_name = map_legacy(folder_name)
     if folder_name in folder_names_and_paths:
         folder_names_and_paths[folder_name][0].append(full_folder_path)
     else:
         folder_names_and_paths[folder_name] = ([full_folder_path], set())
 
 def get_folder_paths(folder_name: str) -> list[str]:
+    folder_name = map_legacy(folder_name)
     return folder_names_and_paths[folder_name][0][:]
 
 def recursive_search(directory: str, excluded_dir_names: list[str] | None=None) -> tuple[list[str], dict[str, float]]:
@@ -180,6 +186,7 @@ def filter_files_extensions(files: Collection[str], extensions: Collection[str])
 
 def get_full_path(folder_name: str, filename: str) -> str | None:
     global folder_names_and_paths
+    folder_name = map_legacy(folder_name)
     if folder_name not in folder_names_and_paths:
         return None
     folders = folder_names_and_paths[folder_name]
@@ -194,6 +201,7 @@ def get_full_path(folder_name: str, filename: str) -> str | None:
     return None
 
 def get_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], float]:
+    folder_name = map_legacy(folder_name)
     global folder_names_and_paths
     output_list = set()
     folders = folder_names_and_paths[folder_name]
@@ -208,6 +216,7 @@ def get_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], f
 def cached_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], float] | None:
     global filename_list_cache
     global folder_names_and_paths
+    folder_name = map_legacy(folder_name)
     if folder_name not in filename_list_cache:
         return None
     out = filename_list_cache[folder_name]
@@ -227,6 +236,7 @@ def cached_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float]
     return out
 
 def get_filename_list(folder_name: str) -> list[str]:
+    folder_name = map_legacy(folder_name)
     out = cached_filename_list_(folder_name)
     if out is None:
         out = get_filename_list_(folder_name)

main.py

@@ -242,6 +242,7 @@ if __name__ == "__main__":
     folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints"))
     folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip"))
     folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae"))
+    folder_paths.add_model_folder_path("diffusion_models", os.path.join(folder_paths.get_output_directory(), "diffusion_models"))
 
     if args.input_directory:
         input_dir = os.path.abspath(args.input_directory)

nodes.py

@@ -855,7 +855,7 @@ class ControlNetApplyAdvanced:
 class UNETLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "unet_name": (folder_paths.get_filename_list("unet"), ),
+        return {"required": { "unet_name": (folder_paths.get_filename_list("diffusion_models"), ),
                               "weight_dtype": (["default", "fp8_e4m3fn", "fp8_e5m2"],)
                              }}
     RETURN_TYPES = ("MODEL",)
@@ -870,7 +870,7 @@ class UNETLoader:
         elif weight_dtype == "fp8_e5m2":
             model_options["dtype"] = torch.float8_e5m2
 
-        unet_path = folder_paths.get_full_path("unet", unet_name)
+        unet_path = folder_paths.get_full_path("diffusion_models", unet_name)
         model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options)
         return (model,)