aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat
-rw-r--r--javascript/ui.js21
-rw-r--r--modules/extras.py10
-rw-r--r--modules/sd_models.py6
-rw-r--r--modules/sd_vae.py194
-rw-r--r--modules/shared.py4
-rw-r--r--modules/ui.py42
-rw-r--r--scripts/xy_grid.py27
-rw-r--r--style.css18
8 files changed, 183 insertions, 139 deletions
diff --git a/javascript/ui.js b/javascript/ui.js
index 1e04a8f4..f8279124 100644
--- a/javascript/ui.js
+++ b/javascript/ui.js
@@ -45,10 +45,27 @@ function switch_to_txt2img(){
return args_to_array(arguments);
}
-function switch_to_img2img(){
+function switch_to_img2img_tab(no){
gradioApp().querySelector('#tabs').querySelectorAll('button')[1].click();
- gradioApp().getElementById('mode_img2img').querySelectorAll('button')[0].click();
+ gradioApp().getElementById('mode_img2img').querySelectorAll('button')[no].click();
+}
+function switch_to_img2img(){
+ switch_to_img2img_tab(0);
+ return args_to_array(arguments);
+}
+
+function switch_to_sketch(){
+ switch_to_img2img_tab(1);
+ return args_to_array(arguments);
+}
+
+function switch_to_inpaint(){
+ switch_to_img2img_tab(2);
+ return args_to_array(arguments);
+}
+function switch_to_inpaint_sketch(){
+ switch_to_img2img_tab(3);
return args_to_array(arguments);
}
diff --git a/modules/extras.py b/modules/extras.py
index a03d558e..22668fcd 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -326,8 +326,14 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam
print("Merging...")
+ chckpoint_dict_skip_on_merge = ["cond_stage_model.transformer.text_model.embeddings.position_ids"]
+
for key in tqdm.tqdm(theta_0.keys()):
if 'model' in key and key in theta_1:
+
+ if key in chckpoint_dict_skip_on_merge:
+ continue
+
a = theta_0[key]
b = theta_1[key]
@@ -352,6 +358,10 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam
# I believe this part should be discarded, but I'll leave it for now until I am sure
for key in theta_1.keys():
if 'model' in key and key not in theta_0:
+
+ if key in chckpoint_dict_skip_on_merge:
+ continue
+
theta_0[key] = theta_1[key]
if save_as_half:
theta_0[key] = theta_0[key].half()
diff --git a/modules/sd_models.py b/modules/sd_models.py
index e5a0bc63..6a681cef 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -224,7 +224,7 @@ def read_state_dict(checkpoint_file, print_global_state=False, map_location=None
return sd
-def load_model_weights(model, checkpoint_info: CheckpointInfo, vae_file="auto"):
+def load_model_weights(model, checkpoint_info: CheckpointInfo):
sd_model_hash = checkpoint_info.calculate_shorthash()
cache_enabled = shared.opts.sd_checkpoint_cache > 0
@@ -277,8 +277,8 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, vae_file="auto"):
sd_vae.delete_base_vae()
sd_vae.clear_loaded_vae()
- vae_file = sd_vae.resolve_vae(checkpoint_info.filename, vae_file=vae_file)
- sd_vae.load_vae(model, vae_file)
+ vae_file, vae_source = sd_vae.resolve_vae(checkpoint_info.filename)
+ sd_vae.load_vae(model, vae_file, vae_source)
def enable_midas_autodownload():
diff --git a/modules/sd_vae.py b/modules/sd_vae.py
index 0a49daa1..add5cecf 100644
--- a/modules/sd_vae.py
+++ b/modules/sd_vae.py
@@ -9,23 +9,9 @@ import glob
from copy import deepcopy
-model_dir = "Stable-diffusion"
-model_path = os.path.abspath(os.path.join(models_path, model_dir))
-vae_dir = "VAE"
-vae_path = os.path.abspath(os.path.join(models_path, vae_dir))
-
-
+vae_path = os.path.abspath(os.path.join(models_path, "VAE"))
vae_ignore_keys = {"model_ema.decay", "model_ema.num_updates"}
-
-
-default_vae_dict = {"auto": "auto", "None": None, None: None}
-default_vae_list = ["auto", "None"]
-
-
-default_vae_values = [default_vae_dict[x] for x in default_vae_list]
-vae_dict = dict(default_vae_dict)
-vae_list = list(default_vae_list)
-first_load = True
+vae_dict = {}
base_vae = None
@@ -64,100 +50,69 @@ def restore_base_vae(model):
def get_filename(filepath):
- return os.path.splitext(os.path.basename(filepath))[0]
-
-
-def refresh_vae_list(vae_path=vae_path, model_path=model_path):
- global vae_dict, vae_list
- res = {}
- candidates = [
- *glob.iglob(os.path.join(model_path, '**/*.vae.ckpt'), recursive=True),
- *glob.iglob(os.path.join(model_path, '**/*.vae.pt'), recursive=True),
- *glob.iglob(os.path.join(model_path, '**/*.vae.safetensors'), recursive=True),
- *glob.iglob(os.path.join(vae_path, '**/*.ckpt'), recursive=True),
- *glob.iglob(os.path.join(vae_path, '**/*.pt'), recursive=True),
- *glob.iglob(os.path.join(vae_path, '**/*.safetensors'), recursive=True),
+ return os.path.basename(filepath)
+
+
+def refresh_vae_list():
+ vae_dict.clear()
+
+ paths = [
+ os.path.join(sd_models.model_path, '**/*.vae.ckpt'),
+ os.path.join(sd_models.model_path, '**/*.vae.pt'),
+ os.path.join(sd_models.model_path, '**/*.vae.safetensors'),
+ os.path.join(vae_path, '**/*.ckpt'),
+ os.path.join(vae_path, '**/*.pt'),
+ os.path.join(vae_path, '**/*.safetensors'),
]
- if shared.cmd_opts.vae_path is not None and os.path.isfile(shared.cmd_opts.vae_path):
- candidates.append(shared.cmd_opts.vae_path)
+
+ if shared.cmd_opts.ckpt_dir is not None and os.path.isdir(shared.cmd_opts.ckpt_dir):
+ paths += [
+ os.path.join(shared.cmd_opts.ckpt_dir, '**/*.vae.ckpt'),
+ os.path.join(shared.cmd_opts.ckpt_dir, '**/*.vae.pt'),
+ os.path.join(shared.cmd_opts.ckpt_dir, '**/*.vae.safetensors'),
+ ]
+
+ candidates = []
+ for path in paths:
+ candidates += glob.iglob(path, recursive=True)
+
for filepath in candidates:
name = get_filename(filepath)
- res[name] = filepath
- vae_list.clear()
- vae_list.extend(default_vae_list)
- vae_list.extend(list(res.keys()))
- vae_dict.clear()
- vae_dict.update(res)
- vae_dict.update(default_vae_dict)
- return vae_list
-
-
-def get_vae_from_settings(vae_file="auto"):
- # else, we load from settings, if not set to be default
- if vae_file == "auto" and shared.opts.sd_vae is not None:
- # if saved VAE settings isn't recognized, fallback to auto
- vae_file = vae_dict.get(shared.opts.sd_vae, "auto")
- # if VAE selected but not found, fallback to auto
- if vae_file not in default_vae_values and not os.path.isfile(vae_file):
- vae_file = "auto"
- print(f"Selected VAE doesn't exist: {vae_file}")
- return vae_file
-
-
-def resolve_vae(checkpoint_file=None, vae_file="auto"):
- global first_load, vae_dict, vae_list
-
- # if vae_file argument is provided, it takes priority, but not saved
- if vae_file and vae_file not in default_vae_list:
- if not os.path.isfile(vae_file):
- print(f"VAE provided as function argument doesn't exist: {vae_file}")
- vae_file = "auto"
- # for the first load, if vae-path is provided, it takes priority, saved, and failure is reported
- if first_load and shared.cmd_opts.vae_path is not None:
- if os.path.isfile(shared.cmd_opts.vae_path):
- vae_file = shared.cmd_opts.vae_path
- shared.opts.data['sd_vae'] = get_filename(vae_file)
- else:
- print(f"VAE provided as command line argument doesn't exist: {vae_file}")
- # fallback to selector in settings, if vae selector not set to act as default fallback
- if not shared.opts.sd_vae_as_default:
- vae_file = get_vae_from_settings(vae_file)
- # vae-path cmd arg takes priority for auto
- if vae_file == "auto" and shared.cmd_opts.vae_path is not None:
- if os.path.isfile(shared.cmd_opts.vae_path):
- vae_file = shared.cmd_opts.vae_path
- print(f"Using VAE provided as command line argument: {vae_file}")
- # if still not found, try look for ".vae.pt" beside model
- model_path = os.path.splitext(checkpoint_file)[0]
- if vae_file == "auto":
- vae_file_try = model_path + ".vae.pt"
- if os.path.isfile(vae_file_try):
- vae_file = vae_file_try
- print(f"Using VAE found similar to selected model: {vae_file}")
- # if still not found, try look for ".vae.ckpt" beside model
- if vae_file == "auto":
- vae_file_try = model_path + ".vae.ckpt"
- if os.path.isfile(vae_file_try):
- vae_file = vae_file_try
- print(f"Using VAE found similar to selected model: {vae_file}")
- # if still not found, try look for ".vae.safetensors" beside model
- if vae_file == "auto":
- vae_file_try = model_path + ".vae.safetensors"
- if os.path.isfile(vae_file_try):
- vae_file = vae_file_try
- print(f"Using VAE found similar to selected model: {vae_file}")
- # No more fallbacks for auto
- if vae_file == "auto":
- vae_file = None
- # Last check, just because
- if vae_file and not os.path.exists(vae_file):
- vae_file = None
-
- return vae_file
-
-
-def load_vae(model, vae_file=None):
- global first_load, vae_dict, vae_list, loaded_vae_file
+ vae_dict[name] = filepath
+
+
+def find_vae_near_checkpoint(checkpoint_file):
+ checkpoint_path = os.path.splitext(checkpoint_file)[0]
+ for vae_location in [checkpoint_path + ".vae.pt", checkpoint_path + ".vae.ckpt", checkpoint_path + ".vae.safetensors"]:
+ if os.path.isfile(vae_location):
+ return vae_location
+
+ return None
+
+
+def resolve_vae(checkpoint_file):
+ if shared.cmd_opts.vae_path is not None:
+ return shared.cmd_opts.vae_path, 'from commandline argument'
+
+ vae_near_checkpoint = find_vae_near_checkpoint(checkpoint_file)
+ if vae_near_checkpoint is not None and (shared.opts.sd_vae_as_default or shared.opts.sd_vae == "Automatic"):
+ return vae_near_checkpoint, 'found near the checkpoint'
+
+ if shared.opts.sd_vae == "None":
+ return None, None
+
+ vae_from_options = vae_dict.get(shared.opts.sd_vae, None)
+ if vae_from_options is not None:
+ return vae_from_options, 'specified in settings'
+
+ if shared.opts.sd_vae != "Automatic":
+ print(f"Couldn't find VAE named {shared.opts.sd_vae}; using None instead")
+
+ return None, None
+
+
+def load_vae(model, vae_file=None, vae_source="from unknown source"):
+ global vae_dict, loaded_vae_file
# save_settings = False
cache_enabled = shared.opts.sd_vae_checkpoint_cache > 0
@@ -165,12 +120,12 @@ def load_vae(model, vae_file=None):
if vae_file:
if cache_enabled and vae_file in checkpoints_loaded:
# use vae checkpoint cache
- print(f"Loading VAE weights [{get_filename(vae_file)}] from cache")
+ print(f"Loading VAE weights {vae_source}: cached {get_filename(vae_file)}")
store_base_vae(model)
_load_vae_dict(model, checkpoints_loaded[vae_file])
else:
- assert os.path.isfile(vae_file), f"VAE file doesn't exist: {vae_file}"
- print(f"Loading VAE weights from: {vae_file}")
+ assert os.path.isfile(vae_file), f"VAE {vae_source} doesn't exist: {vae_file}"
+ print(f"Loading VAE weights {vae_source}: {vae_file}")
store_base_vae(model)
vae_ckpt = sd_models.read_state_dict(vae_file, map_location=shared.weight_load_location)
@@ -191,14 +146,12 @@ def load_vae(model, vae_file=None):
vae_opt = get_filename(vae_file)
if vae_opt not in vae_dict:
vae_dict[vae_opt] = vae_file
- vae_list.append(vae_opt)
+
elif loaded_vae_file:
restore_base_vae(model)
loaded_vae_file = vae_file
- first_load = False
-
# don't call this from outside
def _load_vae_dict(model, vae_dict_1):
@@ -211,7 +164,10 @@ def clear_loaded_vae():
loaded_vae_file = None
-def reload_vae_weights(sd_model=None, vae_file="auto"):
+unspecified = object()
+
+
+def reload_vae_weights(sd_model=None, vae_file=unspecified):
from modules import lowvram, devices, sd_hijack
if not sd_model:
@@ -219,7 +175,11 @@ def reload_vae_weights(sd_model=None, vae_file="auto"):
checkpoint_info = sd_model.sd_checkpoint_info
checkpoint_file = checkpoint_info.filename
- vae_file = resolve_vae(checkpoint_file, vae_file=vae_file)
+
+ if vae_file == unspecified:
+ vae_file, vae_source = resolve_vae(checkpoint_file)
+ else:
+ vae_source = "from function argument"
if loaded_vae_file == vae_file:
return
@@ -231,7 +191,7 @@ def reload_vae_weights(sd_model=None, vae_file="auto"):
sd_hijack.model_hijack.undo_hijack(sd_model)
- load_vae(sd_model, vae_file)
+ load_vae(sd_model, vae_file, vae_source)
sd_hijack.model_hijack.hijack(sd_model)
script_callbacks.model_loaded_callback(sd_model)
@@ -239,5 +199,5 @@ def reload_vae_weights(sd_model=None, vae_file="auto"):
if not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram:
sd_model.to(devices.device)
- print("VAE Weights loaded.")
+ print("VAE weights loaded.")
return sd_model
diff --git a/modules/shared.py b/modules/shared.py
index ef93637c..51df056c 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -83,7 +83,7 @@ parser.add_argument("--theme", type=str, help="launches the UI with light or dar
parser.add_argument("--use-textbox-seed", action='store_true', help="use textbox for seeds in UI (no up/down, but possible to input long seeds)", default=False)
parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=False)
parser.add_argument("--enable-console-prompts", action='store_true', help="print prompts to console when generating with txt2img and img2img", default=False)
-parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencoders model', default=None)
+parser.add_argument('--vae-path', type=str, help='Checkpoint to use as VAE; setting this argument disables all settings related to VAE', default=None)
parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
parser.add_argument("--api", action='store_true', help="use api=True to launch the API together with the webui (use --nowebui instead for only the API)")
parser.add_argument("--api-auth", type=str, help='Set authentication for API like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)
@@ -385,7 +385,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Dropdown, lambda: {"choices": list_checkpoint_tiles()}, refresh=refresh_checkpoints),
"sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
"sd_vae_checkpoint_cache": OptionInfo(0, "VAE Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
- "sd_vae": OptionInfo("auto", "SD VAE", gr.Dropdown, lambda: {"choices": sd_vae.vae_list}, refresh=sd_vae.refresh_vae_list),
+ "sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": ["Automatic", "None"] + list(sd_vae.vae_dict)}, refresh=sd_vae.refresh_vae_list),
"sd_vae_as_default": OptionInfo(False, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
"sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
"sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
diff --git a/modules/ui.py b/modules/ui.py
index 2625ae32..2425c66f 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -795,19 +795,39 @@ def create_ui():
with FormRow().style(equal_height=False):
with gr.Column(variant='panel', elem_id="img2img_settings"):
+ copy_image_buttons = []
+ copy_image_destinations = {}
+
+ def add_copy_image_controls(tab_name, elem):
+ with gr.Row(variant="compact", elem_id=f"img2img_copy_to_{tab_name}"):
+ gr.HTML("Copy image to: ", elem_id=f"img2img_label_copy_to_{tab_name}")
+
+ for title, name in zip(['img2img', 'sketch', 'inpaint', 'inpaint sketch'], ['img2img', 'sketch', 'inpaint', 'inpaint_sketch']):
+ if name == tab_name:
+ gr.Button(title, interactive=False)
+ copy_image_destinations[name] = elem
+ continue
+
+ button = gr.Button(title)
+ copy_image_buttons.append((button, name, elem))
+
with gr.Tabs(elem_id="mode_img2img"):
with gr.TabItem('img2img', id='img2img', elem_id="img2img_img2img_tab") as tab_img2img:
init_img = gr.Image(label="Image for img2img", elem_id="img2img_image", show_label=False, source="upload", interactive=True, type="pil", tool="editor", image_mode="RGBA").style(height=480)
+ add_copy_image_controls('img2img', init_img)
with gr.TabItem('Sketch', id='img2img_sketch', elem_id="img2img_img2img_sketch_tab") as tab_sketch:
sketch = gr.Image(label="Image for img2img", elem_id="img2img_sketch", show_label=False, source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA").style(height=480)
+ add_copy_image_controls('sketch', sketch)
with gr.TabItem('Inpaint', id='inpaint', elem_id="img2img_inpaint_tab") as tab_inpaint:
init_img_with_mask = gr.Image(label="Image for inpainting with mask", show_label=False, elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", image_mode="RGBA").style(height=480)
+ add_copy_image_controls('inpaint', init_img_with_mask)
with gr.TabItem('Inpaint sketch', id='inpaint_sketch', elem_id="img2img_inpaint_sketch_tab") as tab_inpaint_color:
inpaint_color_sketch = gr.Image(label="Color sketch inpainting", show_label=False, elem_id="inpaint_sketch", source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA").style(height=480)
inpaint_color_sketch_orig = gr.State(None)
+ add_copy_image_controls('inpaint_sketch', inpaint_color_sketch)
def update_orig(image, state):
if image is not None:
@@ -824,10 +844,29 @@ def create_ui():
with gr.TabItem('Batch', id='batch', elem_id="img2img_batch_tab") as tab_batch:
hidden = '<br>Disabled when launched with --hide-ui-dir-config.' if shared.cmd_opts.hide_ui_dir_config else ''
- gr.HTML(f"<p class=\"text-gray-500\">Process images in a directory on the same machine where the server is running.<br>Use an empty output directory to save pictures normally instead of writing to the output directory.{hidden}</p>")
+ gr.HTML(f"<p style='padding-bottom: 1em;' class=\"text-gray-500\">Process images in a directory on the same machine where the server is running.<br>Use an empty output directory to save pictures normally instead of writing to the output directory.{hidden}</p>")
img2img_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs, elem_id="img2img_batch_input_dir")
img2img_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, elem_id="img2img_batch_output_dir")
+ def copy_image(img):
+ if isinstance(img, dict) and 'image' in img:
+ return img['image']
+
+ return img
+
+ for button, name, elem in copy_image_buttons:
+ button.click(
+ fn=copy_image,
+ inputs=[elem],
+ outputs=[copy_image_destinations[name]],
+ )
+ button.click(
+ fn=lambda: None,
+ _js="switch_to_"+name.replace(" ", "_"),
+ inputs=[],
+ outputs=[],
+ )
+
with FormGroup(elem_id="inpaint_controls", visible=False) as inpaint_controls:
with FormRow():
mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, elem_id="img2img_mask_blur")
@@ -856,6 +895,7 @@ def create_ui():
outputs=[inpaint_controls, mask_alpha],
)
+
with FormRow():
resize_mode = gr.Radio(label="Resize mode", elem_id="resize_mode", choices=["Just resize", "Crop and resize", "Resize and fill", "Just resize (latent upscale)"], type="index", value="Just resize")
diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py
index f04d9b7e..bd3087d4 100644
--- a/scripts/xy_grid.py
+++ b/scripts/xy_grid.py
@@ -125,24 +125,21 @@ def apply_upscale_latent_space(p, x, xs):
def find_vae(name: str):
- if name.lower() in ['auto', 'none']:
- return name
+ if name.lower() in ['auto', 'automatic']:
+ return modules.sd_vae.unspecified
+ if name.lower() == 'none':
+ return None
else:
- vae_path = os.path.abspath(os.path.join(paths.models_path, 'VAE'))
- found = glob.glob(os.path.join(vae_path, f'**/{name}.*pt'), recursive=True)
- if found:
- return found[0]
+ choices = [x for x in sorted(modules.sd_vae.vae_dict, key=lambda x: len(x)) if name.lower().strip() in x.lower()]
+ if len(choices) == 0:
+ print(f"No VAE found for {name}; using automatic")
+ return modules.sd_vae.unspecified
else:
- return 'auto'
+ return modules.sd_vae.vae_dict[choices[0]]
def apply_vae(p, x, xs):
- if x.lower().strip() == 'none':
- modules.sd_vae.reload_vae_weights(shared.sd_model, vae_file='None')
- else:
- found = find_vae(x)
- if found:
- v = modules.sd_vae.reload_vae_weights(shared.sd_model, vae_file=found)
+ modules.sd_vae.reload_vae_weights(shared.sd_model, vae_file=find_vae(x))
def apply_styles(p: StableDiffusionProcessingTxt2Img, x: str, _):
@@ -271,7 +268,9 @@ class SharedSettingsStackHelper(object):
def __exit__(self, exc_type, exc_value, tb):
modules.sd_models.reload_model_weights(self.model)
- modules.sd_vae.reload_vae_weights(self.model, vae_file=find_vae(self.vae))
+
+ opts.data["sd_vae"] = self.vae
+ modules.sd_vae.reload_vae_weights(self.model)
hypernetwork.load_hypernetwork(self.hypernetwork)
hypernetwork.apply_strength()
diff --git a/style.css b/style.css
index ffd6307f..2d484e06 100644
--- a/style.css
+++ b/style.css
@@ -676,6 +676,24 @@ footer {
opacity: 0.5;
}
+#mode_img2img > div > div{
+ gap: 0 !important;
+}
+
+[id*='img2img_copy_to_'] {
+ border: none;
+}
+
+[id*='img2img_copy_to_'] > button {
+}
+
+[id*='img2img_label_copy_to_'] {
+ font-size: 1.0em;
+ font-weight: bold;
+ text-align: center;
+ line-height: 2.4em;
+}
+
/* The following handles localization for right-to-left (RTL) languages like Arabic.
The rtl media type will only be activated by the logic in javascript/localization.js.
If you change anything above, you need to make sure it is RTL compliant by just running
generated by cgit v1.2.1 (git 2.18.0) at 2024-09-22 10:34:07 +0000