Merge pull request #78 from kohya-ss/dev

merge dev to main

README.md

@@ -8,6 +8,9 @@ __Stable Diffusion web UI now seems to support LoRA trained by ``sd-scripts``.__
 
 Note: Currently the models models for SD 2.x does not seem to be supported in Web UI. The models trained by the scripts 0.4.0 seem to be supported. 
 
+- 30 Jan. 2023, 2023/1/30
+  - Fix to allow folder names containing commas in ``Extra paths to scan for LoRA models``. Enclose in ``"``. Thanks to shirayu!
+  - ``Extra paths to scan for LoRA models`` でのモデルディレクトリの指定時にカンマを含むフォルダ名が使用できるようになりました。``"`` で囲んでください。shirayu氏に感謝します。
 - 29 Jan. 2023, 2023/1/29
   - Support multiple LoRA model directories. You can set a comma-separated list in ``Extra paths to scan for LoRA models`` at ``Settings`` tab. Thanks to space-nuko!
 

preload.py

@@ -3,4 +3,4 @@
 
 
 def preload(parser):
-    parser.add_argument("--addnet-max-model-count", type=int, help="The maximum number of additinal network model can be used.", default=5)
+    parser.add_argument("--addnet-max-model-count", type=int, help="The maximum number of additional network model can be used.", default=5)

scripts/additional_networks.py

@@ -156,6 +156,17 @@ def apply_weight_tenc(p, x, xs, i):
     update_script_args(p, True, 0)
     update_script_args(p, x, 5 + 4 * i)  # enabled, separate_weights, (module, model, weight_unet, {weight_tenc}), ...
 
+def split_path_list(path_list: str) -> list[str]:
+    import csv
+    from io import StringIO
+
+    pl = []
+    with StringIO() as f:
+        f.write(path_list)
+        f.seek(0)
+        for r in csv.reader(f):
+            pl += r
+    return pl
 
 def format_lora_model(p, opt, x):
     model = find_closest_lora_model_name(x)
@@ -169,7 +180,7 @@ def format_lora_model(p, opt, x):
     if not metadata:
         return value
 
-    metadata_names = shared.opts.data.get("additional_networks_xy_grid_model_metadata", "").split(",")
+    metadata_names = split_path_list(shared.opts.data.get("additional_networks_xy_grid_model_metadata", ""))
     if not metadata_names:
         return value
 
@@ -384,7 +395,7 @@ def find_closest_lora_model_name(search: str):
 def update_lora_models():
   global lora_models, lora_model_names, legacy_model_names
   paths = [lora_models_dir]
-  extra_lora_paths = shared.opts.data.get("additional_networks_extra_lora_path", "").split(",")
+  extra_lora_paths = split_path_list(shared.opts.data.get("additional_networks_extra_lora_path", ""))
   for path in extra_lora_paths:
     if os.path.isdir(path):
       paths.append(path)
@@ -637,7 +648,7 @@ def update_metadata(module, model):
 def on_ui_settings():
   section = ('additional_networks', "Additional Networks")
   shared.opts.add_option("additional_networks_extra_lora_path", shared.OptionInfo(
-      "", "Extra paths to scan for LoRA models, comma-separated", section=section))
+      "", """Extra paths to scan for LoRA models, comma-separated. Paths containing commas must be enclosed in double quotes. In the path, " (one quote) must be replaced by "" (two quotes).""", section=section))
   shared.opts.add_option("additional_networks_sort_models_by", shared.OptionInfo(
       "name", "Sort LoRA models by", gr.Radio, {"choices": ["name", "date", "path name", "rating", "has user metadata"]}, section=section))
   shared.opts.add_option("additional_networks_model_name_filter", shared.OptionInfo("", "LoRA model name filter", section=section))