From 44c37f94e176667ccdfeb74916e4640fa9dc586d Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Thu, 18 May 2023 16:36:30 +0300
Subject: add messages about Loras that failed to load to UI

---
 extensions-builtin/Lora/lora.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

(limited to 'extensions-builtin/Lora/lora.py')

diff --git a/extensions-builtin/Lora/lora.py b/extensions-builtin/Lora/lora.py
index 1308c48b..fa57d466 100644
--- a/extensions-builtin/Lora/lora.py
+++ b/extensions-builtin/Lora/lora.py
@@ -3,7 +3,7 @@ import re
 import torch
 from typing import Union
 
-from modules import shared, devices, sd_models, errors, scripts
+from modules import shared, devices, sd_models, errors, scripts, sd_hijack
 
 metadata_tags_order = {"ss_sd_model_name": 1, "ss_resolution": 2, "ss_clip_skip": 3, "ss_num_train_images": 10, "ss_tag_frequency": 20}
 
@@ -211,6 +211,8 @@ def load_loras(names, multipliers=None):
 
         loras_on_disk = [available_lora_aliases.get(name, None) for name in names]
 
+    failed_to_load_loras = []
+
     for i, name in enumerate(names):
         lora = already_loaded.get(name, None)
 
@@ -224,12 +226,16 @@ def load_loras(names, multipliers=None):
                     continue
 
         if lora is None:
+            failed_to_load_loras.append(name)
             print(f"Couldn't find Lora with name {name}")
             continue
 
         lora.multiplier = multipliers[i] if multipliers else 1.0
         loaded_loras.append(lora)
 
+    if len(failed_to_load_loras) > 0:
+        sd_hijack.model_hijack.comments.append("Failed to find Loras: " + ", ".join(failed_to_load_loras))
+
 
 def lora_calc_updown(lora, module, target):
     with torch.no_grad():
-- 
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