Add VAE_NAME output to the Parameter Generator node and add `vae_…

…name` input to the `Prompt Saver` node #39

nodes.py

@@ -240,7 +240,8 @@ def IS_CHANGED(s, image, parameter_index):
 
 
 class SDPromptSaver:
-    hash_dict = {}
+    model_hash_dict = {}
+    vae_hash_dict = {}
 
     def __init__(self):
         self.output_dir = folder_paths.get_output_directory()
@@ -261,6 +262,7 @@ def INPUT_TYPES(s):
                 "path": ("STRING", {"default": "%date/", "multiline": False}),
                 "model_name": (folder_paths.get_filename_list("checkpoints"),),
                 # "model_name_str": ("STRING", {"default": ""}),
+                "vae_name": (folder_paths.get_filename_list("vae"),),
                 "seed": (
                     "INT",
                     {
@@ -298,7 +300,7 @@ def INPUT_TYPES(s):
                 "positive": ("STRING", {"default": "", "multiline": True}),
                 "negative": ("STRING", {"default": "", "multiline": True}),
                 "extension": (["png", "jpg", "webp"],),
-                "calculate_model_hash": ("BOOLEAN", {"default": False}),
+                "calculate_hash": ("BOOLEAN", {"default": False}),
                 "lossless_webp": ("BOOLEAN", {"default": True}),
                 "jpg_webp_quality": ("INT", {"default": 100, "min": 1, "max": 100}),
                 "date_format": (
@@ -330,6 +332,7 @@ def save_images(
         path: str = "%date/",
         model_name: str = "",
         model_name_str: str = "",
+        vae_name: str = "",
         seed: int = 0,
         steps: int = 0,
         cfg: float = 0.0,
@@ -342,7 +345,7 @@ def save_images(
         positive: str = "",
         negative: str = "",
         extension: str = "png",
-        calculate_model_hash: bool = False,
+        calculate_hash: bool = False,
         lossless_webp: bool = True,
         jpg_webp_quality: int = 100,
         date_format: str = "%Y-%m-%d",
@@ -401,15 +404,24 @@ def save_images(
             img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
             metadata = None
 
+            model_hash_str = ""
+            vae_hash_str = ""
+            vae_str = ""
+
+            if vae_name:
+                vae_str = f"VAE: {vae_name}"
+
             hashes = {}
-            if calculate_model_hash:
-                model_hash = self.calculate_model_hash(model_name_real)
+            if calculate_hash:
+                model_hash = self.calculate_hash(model_name_real, "model")
                 model_hash_str = f"Model hash: {model_hash}, "
                 hashes["model"] = model_hash
-            else:
-                model_hash_str = ""
+                if vae_name:
+                    vae_hash = self.calculate_hash(vae_name, "vae")
+                    vae_hash_str = f"VAE hash: {vae_hash}, "
+                    hashes["vae"] = vae_hash
 
-            hashes_str = f"Hashes: {json.dumps(hashes)}, " if hashes else ""
+            hashes_str = f", Hashes: {json.dumps(hashes)}" if hashes else ""
 
             comment = (
                 f"{positive}\n"
@@ -421,6 +433,8 @@ def save_images(
                 f"Size: {img.width if width==0 else width}x{img.height if height==0 else height}, "
                 f"{model_hash_str}"
                 f"Model: {Path(model_name_real).stem}, "
+                f"{vae_hash_str}"
+                f"{vae_str}"
                 f"Version: ComfyUI"
                 f"{hashes_str}"
                 f"{extra_info_real}"
@@ -477,20 +491,29 @@ def save_images(
         return {"ui": {"images": results}, "result": (files, file_paths, comments)}
 
     @staticmethod
-    def calculate_model_hash(model_name):
-        if hash_value := SDPromptSaver.hash_dict.get(model_name):
+    def calculate_hash(name, hash_type):
+        match hash_type:
+            case "model":
+                hash_dict = SDPromptSaver.model_hash_dict
+                file_name = folder_paths.get_full_path("checkpoints", name)
+            case "vae":
+                hash_dict = SDPromptSaver.vae_hash_dict
+                file_name = folder_paths.get_full_path("vae", name)
+            case _:
+                return ""
+
+        if hash_value := hash_dict.get(name):
             return hash_value
 
         hash_sha256 = hashlib.sha256()
         blksize = 1024 * 1024
-        file_name = folder_paths.get_full_path("checkpoints", model_name)
 
         with open(file_name, "rb") as f:
             for chunk in iter(lambda: f.read(blksize), b""):
                 hash_sha256.update(chunk)
 
         hash_value = hash_sha256.hexdigest()[:10]
-        SDPromptSaver.hash_dict[model_name] = hash_value
+        hash_dict[name] = hash_value
 
         return hash_value
 
@@ -639,6 +662,7 @@ def INPUT_TYPES(s):
 
     RETURN_TYPES = (
         folder_paths.get_filename_list("checkpoints"),
+        folder_paths.get_filename_list("vae"),
         "MODEL",
         "CLIP",
         "VAE",
@@ -658,6 +682,7 @@ def INPUT_TYPES(s):
 
     RETURN_NAMES = (
         "MODEL_NAME",
+        "VAE_NAME",
         "MODEL",
         "CLIP",
         "VAE",
@@ -721,10 +746,15 @@ def generate_parameter(
             )[:3]
 
         if vae_name != "baked VAE":
+            vae_name_real = vae_name
             vae_path = folder_paths.get_full_path("vae", vae_name)
             sd = comfy.utils.load_torch_file(vae_path)
             vae = comfy.sd.VAE(sd=sd)
             checkpoint = (*checkpoint[:2], vae)
+            vae_str = f"VAE: {vae_name}, \n"
+        else:
+            vae_str = ""
+            vae_name_real = ""
 
         if aspect_ratio != "custom":
             aspect_ratio_value = aspect_ratio.split(" - ")[0]
@@ -750,6 +780,7 @@ def generate_parameter(
 
         parameters = (
             f"Model: {ckpt_name},\n"
+            f"{vae_str}"
             f"Seed: {str(seed)},\n"
             f"Steps: {str(steps)},\n"
             f"CFG scale: {str(cfg)},\n"
@@ -776,7 +807,10 @@ def generate_parameter(
                 )
             },
             "result": (
-                (ckpt_name,)
+                (
+                    ckpt_name,
+                    vae_name_real,
+                )
                 + checkpoint
                 + (
                     seed,