Merge branch 'main' into 2.3-documentation-fixes

.github/CODEOWNERS

@@ -1,7 +1,50 @@
-ldm/invoke/pngwriter.py @CapableWeb
+# continuous integration
-ldm/invoke/server_legacy.py @CapableWeb
+/.github/workflows/ @mauwii
-scripts/legacy_api.py @CapableWeb
+
-tests/legacy_tests.sh @CapableWeb
+# documentation
-installer/ @ebr
+/docs/ @lstein @mauwii @tildebyte
-.github/workflows/ @mauwii
+mkdocs.yml @lstein @mauwii
-docker/ @mauwii
+
+# installation and configuration
+/pyproject.toml @mauwii @lstein @ebr
+/docker/ @mauwii
+/scripts/ @ebr @lstein
+/installer/ @ebr @lstein @tildebyte
+ldm/invoke/config @lstein @ebr
+invokeai/assets @lstein @ebr
+invokeai/configs @lstein @ebr
+/ldm/invoke/_version.py @lstein @blessedcoolant
+
+# web ui
+/invokeai/frontend @blessedcoolant @psychedelicious
+/invokeai/backend @blessedcoolant @psychedelicious
+
+# generation and model management
+/ldm/*.py @lstein
+/ldm/generate.py @lstein @keturn
+/ldm/invoke/args.py @lstein @blessedcoolant
+/ldm/invoke/ckpt* @lstein
+/ldm/invoke/ckpt_generator @lstein
+/ldm/invoke/CLI.py @lstein
+/ldm/invoke/config @lstein @ebr @mauwii
+/ldm/invoke/generator @keturn @damian0815
+/ldm/invoke/globals.py @lstein @blessedcoolant
+/ldm/invoke/merge_diffusers.py @lstein
+/ldm/invoke/model_manager.py @lstein @blessedcoolant
+/ldm/invoke/txt2mask.py @lstein
+/ldm/invoke/patchmatch.py @Kyle0654
+/ldm/invoke/restoration @lstein @blessedcoolant
+
+# attention, textual inversion, model configuration
+/ldm/models @damian0815 @keturn
+/ldm/modules @damian0815 @keturn
+
+# Nodes
+apps/ @Kyle0654
+
+# legacy REST API
+# is CapableWeb still engaged?
+/ldm/invoke/pngwriter.py @CapableWeb
+/ldm/invoke/server_legacy.py @CapableWeb
+/scripts/legacy_api.py @CapableWeb
+/tests/legacy_tests.sh @CapableWeb

README.md

@@ -92,6 +92,7 @@ You will need one of the following:
 
 - An NVIDIA-based graphics card with 4 GB or more VRAM memory.
 - An Apple computer with an M1 chip.
+- An AMD-based graphics card with 4GB or more VRAM memory. (Linux only)
 
 We do not recommend the GTX 1650 or 1660 series video cards. They are
 unable to run in half-precision mode and do not have sufficient VRAM

installer/lib/messages.py

@@ -9,10 +9,9 @@ from pathlib import Path
 
 from prompt_toolkit import prompt
 from prompt_toolkit.completion import PathCompleter
-from prompt_toolkit.shortcuts import CompleteStyle
 from prompt_toolkit.validation import Validator
 from rich import box, print
-from rich.console import Console, Group
+from rich.console import Console, Group, group
 from rich.panel import Panel
 from rich.prompt import Confirm
 from rich.style import Style
@@ -37,17 +36,21 @@ else:
 
 
 def welcome():
+
+    @group()
+    def text():
+        if (platform_specific := _platform_specific_help()) != "":
+            yield platform_specific
+            yield ""
+        yield Text.from_markup("Some of the installation steps take a long time to run. Please be patient. If the script appears to hang for more than 10 minutes, please interrupt with [i]Control-C[/] and retry.", justify="center")
+
     console.rule()
     print(
         Panel(
             title="[bold wheat1]Welcome to the InvokeAI Installer",
-            renderable=Text(
+            renderable=text(),
-                "Some of the installation steps take a long time to run. Please be patient. If the script appears to hang for more than 10 minutes, please interrupt with control-C and retry.",
-                justify="center",
-            ),
             box=box.DOUBLE,
-            width=80,
+            expand=True,
-            expand=False,
             padding=(1, 2),
             style=Style(bgcolor="grey23", color="orange1"),
             subtitle=f"[bold grey39]{OS}-{ARCH}",
@@ -200,7 +203,7 @@ def graphical_accelerator():
                     [
                         f"Detected the [gold1]{OS}-{ARCH}[/] platform",
                         "",
-                        "See [steel_blue3]https://invoke-ai.github.io/InvokeAI/#system[/] to ensure your system meets the minimum requirements.",
+                        "See [deep_sky_blue1]https://invoke-ai.github.io/InvokeAI/#system[/] to ensure your system meets the minimum requirements.",
                         "",
                         "[red3]🠶[/] [b]Your GPU drivers must be correctly installed before using InvokeAI![/] [red3]🠴[/]",
                     ]
@@ -294,3 +297,16 @@ def introduction() -> None:
         )
     )
     console.line(2)
+
+def _platform_specific_help()->str:
+    if OS == "Darwin":
+        text = Text.from_markup("""[b wheat1]macOS Users![/]\n\nPlease be sure you have the [b wheat1]Xcode command-line tools[/] installed before continuing.\nIf not, cancel with [i]Control-C[/] and follow the Xcode install instructions at [deep_sky_blue1]https://www.freecodecamp.org/news/install-xcode-command-line-tools/[/].""")
+    elif OS == "Windows":
+        text = Text.from_markup("""[b wheat1]Windows Users![/]\n\nBefore you start, please do the following:
+  1. Double-click on the file [b wheat1]WinLongPathsEnabled.reg[/] in order to
+     enable long path support on your system.
+  2. Make sure you have the [b wheat1]Visual C++ core libraries[/] installed. If not, install from
+     [deep_sky_blue1]https://learn.microsoft.com/en-US/cpp/windows/latest-supported-vc-redist?view=msvc-170[/]""")
+    else:
+        text = ""
+    return text

invokeai/frontend/dist/index.html

@@ -5,7 +5,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>InvokeAI - A Stable Diffusion Toolkit</title>
     <link rel="shortcut icon" type="icon" href="./assets/favicon-0d253ced.ico" />
-    <script type="module" crossorigin src="./assets/index-34c8aef8.js"></script>
+    <script type="module" crossorigin src="./assets/index-4baf9db0.js"></script>
     <link rel="stylesheet" href="./assets/index-b0bf79f4.css">
   </head>
 

invokeai/frontend/src/common/util/getPromptAndNegative.ts

@@ -5,15 +5,24 @@ export function getPromptAndNegative(input_prompt: InvokeAI.Prompt) {
   let prompt: string = promptToString(input_prompt);
   let negativePrompt: string | null = null;
 
-  const negativePromptRegExp = new RegExp(/(?<=\[)[^\][]*(?=])/, 'gi');
+  // Matches all negative prompts, 1st capturing group is the prompt itself
-  const negativePromptMatches = [...prompt.matchAll(negativePromptRegExp)];
+  const negativePromptRegExp = new RegExp(/\[([^\][]*)]/, 'gi');
 
-  if (negativePromptMatches && negativePromptMatches.length > 0) {
+  // Grab the actual prompt matches (capturing group 1 is 1st index of match)
-    negativePrompt = negativePromptMatches.join(', ');
+  const negativePromptMatches = [...prompt.matchAll(negativePromptRegExp)].map(
-    prompt = prompt
+    (match) => match[1]
-      .replaceAll(negativePromptRegExp, '')
+  );
-      .replaceAll('[]', '')
+
-      .trim();
+  if (negativePromptMatches.length) {
+    // Build the negative prompt itself
+    negativePrompt = negativePromptMatches.join(' ');
+
+    // Replace each match, including its surrounding brackets
+    // Remove each pair of empty brackets
+    // Trim whitespace
+    negativePromptMatches.forEach((match) => {
+      prompt = prompt.replace(`[${match}]`, '').replaceAll('[]', '').trim();
+    });
   }
 
   return [prompt, negativePrompt];

invokeai/frontend/src/features/canvas/components/IAICanvasStatusText.tsx

@@ -23,6 +23,7 @@ const selector = createSelector(
       shouldShowCanvasDebugInfo,
       layer,
       boundingBoxScaleMethod,
+      shouldPreserveMaskedArea,
     } = canvas;
 
     let boundingBoxColor = 'inherit';
@@ -56,6 +57,7 @@ const selector = createSelector(
       shouldShowCanvasDebugInfo,
       shouldShowBoundingBox: boundingBoxScaleMethod !== 'auto',
       shouldShowScaledBoundingBox: boundingBoxScaleMethod !== 'none',
+      shouldPreserveMaskedArea,
     };
   },
   {
@@ -79,6 +81,7 @@ const IAICanvasStatusText = () => {
     canvasScaleString,
     shouldShowCanvasDebugInfo,
     shouldShowBoundingBox,
+    shouldPreserveMaskedArea,
   } = useAppSelector(selector);
 
   const { t } = useTranslation();
@@ -91,6 +94,15 @@ const IAICanvasStatusText = () => {
         }}
       >{`${t('unifiedcanvas:activeLayer')}: ${activeLayerString}`}</div>
       <div>{`${t('unifiedcanvas:canvasScale')}: ${canvasScaleString}%`}</div>
+      {shouldPreserveMaskedArea && (
+        <div
+          style={{
+            color: 'var(--status-working-color)',
+          }}
+        >
+          Preserve Masked Area: On
+        </div>
+      )}
       {shouldShowBoundingBox && (
         <div
           style={{

invokeai/frontend/src/features/gallery/components/DeleteImageModal.tsx

@@ -89,7 +89,7 @@ const DeleteImageModal = forwardRef(
       () => {
         shouldConfirmOnDelete ? onOpen() : handleDelete();
       },
-      [image, shouldConfirmOnDelete]
+      [image, shouldConfirmOnDelete, isConnected, isProcessing]
     );
 
     const handleChangeShouldConfirmOnDelete = (

ldm/invoke/_version.py

@@ -1 +1 @@
-__version__='2.3.0-rc5'
+__version__='2.3.0-rc6'

ldm/invoke/args.py

@@ -230,6 +230,7 @@ class Args(object):
                     switches = ''
         try:
             self._cmd_switches = self._cmd_parser.parse_args(shlex.split(switches,comments=True))
+            if not getattr(self._cmd_switches,'prompt'):
                 setattr(self._cmd_switches,'prompt',prompt)
             return self._cmd_switches
         except:

ldm/invoke/config/invokeai_configure.py

@@ -10,6 +10,7 @@ print("Loading Python libraries...\n")
 import argparse
 import io
 import os
+import re
 import shutil
 import sys
 import traceback
@@ -379,7 +380,7 @@ def download_weight_datasets(
     migrate_models_ckpt()
     successful = dict()
     for mod in models.keys():
-        print(f"{mod}...", file=sys.stderr, end="")
+        print(f"Downloading {mod}:")
         successful[mod] = _download_repo_or_file(
             Datasets[mod], access_token, precision=precision
         )
@@ -532,7 +533,7 @@ def update_config_file(successfully_downloaded: dict, opt: dict):
         configs_dest = Default_config_file.parent
         shutil.copytree(configs_src, configs_dest, dirs_exist_ok=True)
 
-    yaml = new_config_file_contents(successfully_downloaded, config_file)
+    yaml = new_config_file_contents(successfully_downloaded, config_file, opt)
 
     try:
         backup = None
@@ -568,7 +569,7 @@ def update_config_file(successfully_downloaded: dict, opt: dict):
 
 
 # ---------------------------------------------
-def new_config_file_contents(successfully_downloaded: dict, config_file: Path) -> str:
+def new_config_file_contents(successfully_downloaded: dict, config_file: Path, opt: dict) -> str:
     if config_file.exists():
         conf = OmegaConf.load(str(config_file.expanduser().resolve()))
     else:
@@ -576,7 +577,14 @@ def new_config_file_contents(successfully_downloaded: dict, config_file: Path) -
 
     default_selected = None
     for model in successfully_downloaded:
-        stanza = conf[model] if model in conf else {}
+
+        # a bit hacky - what we are doing here is seeing whether a checkpoint
+        # version of the model was previously defined, and whether the current
+        # model is a diffusers (indicated with a path)
+        if conf.get(model) and Path(successfully_downloaded[model]).is_dir():
+            offer_to_delete_weights(model, conf[model], opt.yes_to_all)
+            
+        stanza = {}
         mod = Datasets[model]
         stanza["description"] = mod["description"]
         stanza["repo_id"] = mod["repo_id"]
@@ -599,8 +607,8 @@ def new_config_file_contents(successfully_downloaded: dict, config_file: Path) -
                 )
             else:
                 stanza["vae"] = mod["vae"]
-        if mod.get('default',False):
+        if mod.get("default", False):
-            stanza['default'] = True
+            stanza["default"] = True
             default_selected = True
 
         conf[model] = stanza
@@ -612,6 +620,21 @@ def new_config_file_contents(successfully_downloaded: dict, config_file: Path) -
 
     return OmegaConf.to_yaml(conf)
 
+# ---------------------------------------------
+def offer_to_delete_weights(model_name: str, conf_stanza: dict, yes_to_all: bool):
+    if not (weights := conf_stanza.get('weights')):
+        return
+    if re.match('/VAE/',conf_stanza.get('config')):
+        return
+    if yes_to_all or \
+       yes_or_no(f'\n** The checkpoint version of {model_name} is superseded by the diffusers version. Delete the original file {weights}?', default_yes=False):
+        weights = Path(weights)
+        if not weights.is_absolute():
+            weights = Path(Globals.root) / weights
+        try:
+            weights.unlink()
+        except OSError as e:
+            print(str(e))
     
 # ---------------------------------------------
 # this will preload the Bert tokenizer fles
@@ -641,7 +664,8 @@ def download_from_hf(
         resume_download=True,
         **kwargs,
     )
-    return path if model else None
+    model_name = '--'.join(('models',*model_name.split('/')))
+    return path / model_name if model else None
 
 
 # ---------------------------------------------