From ce3f639ec8758ce2bc90483336361d2dc25acd3a Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Tue, 10 Jan 2023 16:51:04 +0300
Subject: add more stuff to ignore when creating model from config prevent
 .vae.safetensors files from being listed as stable diffusion models

---
 modules/sd_models.py | 32 ++++++++++++++++++++++++++++----
 1 file changed, 28 insertions(+), 4 deletions(-)

(limited to 'modules/sd_models.py')

diff --git a/modules/sd_models.py b/modules/sd_models.py
index ee241032..1bb9088b 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -2,6 +2,7 @@ import collections
 import os.path
 import sys
 import gc
+import time
 from collections import namedtuple
 import torch
 import re
@@ -61,7 +62,7 @@ def find_checkpoint_config(info):
 
 def list_models():
     checkpoints_list.clear()
-    model_list = modelloader.load_models(model_path=model_path, command_path=shared.cmd_opts.ckpt_dir, ext_filter=[".ckpt", ".safetensors"])
+    model_list = modelloader.load_models(model_path=model_path, command_path=shared.cmd_opts.ckpt_dir, ext_filter=[".ckpt", ".safetensors"], ext_blacklist=[".vae.safetensors"])
 
     def modeltitle(path, shorthash):
         abspath = os.path.abspath(path)
@@ -288,6 +289,17 @@ def enable_midas_autodownload():
     midas.api.load_model = load_model_wrapper
 
 
+class Timer:
+    def __init__(self):
+        self.start = time.time()
+
+    def elapsed(self):
+        end = time.time()
+        res = end - self.start
+        self.start = end
+        return res
+
+
 def load_model(checkpoint_info=None):
     from modules import lowvram, sd_hijack
     checkpoint_info = checkpoint_info or select_checkpoint()
@@ -319,11 +331,17 @@ def load_model(checkpoint_info=None):
     if shared.cmd_opts.no_half:
         sd_config.model.params.unet_config.params.use_fp16 = False
 
+    timer = Timer()
+
     with sd_disable_initialization.DisableInitialization():
         sd_model = instantiate_from_config(sd_config.model)
 
+    elapsed_create = timer.elapsed()
+
     load_model_weights(sd_model, checkpoint_info)
 
+    elapsed_load_weights = timer.elapsed()
+
     if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
         lowvram.setup_for_low_vram(sd_model, shared.cmd_opts.medvram)
     else:
@@ -338,7 +356,9 @@ def load_model(checkpoint_info=None):
 
     script_callbacks.model_loaded_callback(sd_model)
 
-    print("Model loaded.")
+    elapsed_the_rest = timer.elapsed()
+
+    print(f"Model loaded in {elapsed_create + elapsed_load_weights + elapsed_the_rest:.1f}s ({elapsed_create:.1f}s create model, {elapsed_load_weights:.1f}s load weights).")
 
     return sd_model
 
@@ -349,7 +369,7 @@ def reload_model_weights(sd_model=None, info=None):
 
     if not sd_model:
         sd_model = shared.sd_model
-    if sd_model is None: # previous model load failed
+    if sd_model is None:  # previous model load failed
         current_checkpoint_info = None
     else:
         current_checkpoint_info = sd_model.sd_checkpoint_info
@@ -371,6 +391,8 @@ def reload_model_weights(sd_model=None, info=None):
 
     sd_hijack.model_hijack.undo_hijack(sd_model)
 
+    timer = Timer()
+
     try:
         load_model_weights(sd_model, checkpoint_info)
     except Exception as e:
@@ -384,6 +406,8 @@ def reload_model_weights(sd_model=None, info=None):
         if not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram:
             sd_model.to(devices.device)
 
-    print("Weights loaded.")
+    elapsed = timer.elapsed()
+
+    print(f"Weights loaded in {elapsed:.1f}s.")
 
     return sd_model
-- 
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