Merge branch 'v2.3' into fix/new_diffusers_names

Author: StAlKeR7779

installer/lib/installer.py

@@ -132,13 +132,12 @@ def app_venv(self, path: str = None):
 
         # Prefer to copy python executables
         # so that updates to system python don't break InvokeAI
-        if not venv_dir.exists():
-            try:
-                venv.create(venv_dir, with_pip=True)
-            # If installing over an existing environment previously created with symlinks,
-            # the executables will fail to copy. Keep symlinks in that case
-            except shutil.SameFileError:
-                venv.create(venv_dir, with_pip=True, symlinks=True)
+        try:
+            venv.create(venv_dir, with_pip=True)
+        # If installing over an existing environment previously created with symlinks,
+        # the executables will fail to copy. Keep symlinks in that case
+        except shutil.SameFileError:
+            venv.create(venv_dir, with_pip=True, symlinks=True)
 
         # upgrade pip in Python 3.9 environments
         if int(platform.python_version_tuple()[1]) == 9:

invokeai/backend/invoke_ai_web_server.py

@@ -37,11 +37,11 @@
     Globals,
     global_converted_ckpts_dir,
     global_models_dir,
-    global_lora_models_dir,
 )
 from ldm.invoke.pngwriter import PngWriter, retrieve_metadata
 from compel.prompt_parser import Blend
 from ldm.invoke.merge_diffusers import merge_diffusion_models
+from ldm.modules.lora_manager import LoraManager
 
 # Loading Arguments
 opt = Args()
@@ -523,20 +523,12 @@ def merge_diffusers_models(model_merge_info: dict):
         @socketio.on("getLoraModels")
         def get_lora_models():
             try:
-                lora_path = global_lora_models_dir()
-                loras = []
-                for root, _, files in os.walk(lora_path):
-                    models = [
-                        Path(root, x)
-                        for x in files
-                        if Path(x).suffix in [".ckpt", ".pt", ".safetensors"]
-                    ]
-                    loras = loras + models
-
+                model = self.generate.model
+                lora_mgr = LoraManager(model)
+                loras = lora_mgr.list_compatible_loras()
                 found_loras = []
-                for lora in sorted(loras, key=lambda s: s.stem.lower()):
-                    location = str(lora.resolve()).replace("\\", "/")
-                    found_loras.append({"name": lora.stem, "location": location})
+                for lora in sorted(loras, key=str.casefold):
+                    found_loras.append({"name":lora,"location":str(loras[lora])})
                 socketio.emit("foundLoras", found_loras)
             except Exception as e:
                 self.handle_exceptions(e)

invokeai/configs/INITIAL_MODELS.yaml

@@ -80,7 +80,8 @@ trinart-2.0:
      repo_id: stabilityai/sd-vae-ft-mse
    recommended: False
 waifu-diffusion-1.4:
-   description: An SD-1.5 model trained on 680k anime/manga-style images (2.13 GB)
+   description: An SD-2.1 model trained on 5.4M anime/manga-style images (4.27 GB)
+   revision: main
    repo_id: hakurei/waifu-diffusion
    format: diffusers
    vae:

…i/frontend/dist/assets/index-f56b39bc.js …i/frontend/dist/assets/index-b12e648e.jsinvokeai/frontend/dist/assets/index-f56b39bc.js renamed to invokeai/frontend/dist/assets/index-b12e648e.js invokeai/frontend/dist/assets/index-f56b39bc.js renamed to invokeai/frontend/dist/assets/index-b12e648e.js

@@ -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-f56b39bc.js"></script>
+    <script type="module" crossorigin src="./assets/index-b12e648e.js"></script>
     <link rel="stylesheet" href="./assets/index-2ab0eb58.css">
   </head>
 

invokeai/frontend/dist/index.html

@@ -33,6 +33,10 @@ import {
   setIntermediateImage,
 } from 'features/gallery/store/gallerySlice';
 
+import {
+  getLoraModels,
+  getTextualInversionTriggers,
+} from 'app/socketio/actions';
 import type { RootState } from 'app/store';
 import { addImageToStagingArea } from 'features/canvas/store/canvasSlice';
 import {
@@ -463,6 +467,8 @@ const makeSocketIOListeners = (
       const { model_name, model_list } = data;
       dispatch(setModelList(model_list));
       dispatch(setCurrentStatus(i18n.t('common.statusModelChanged')));
+      dispatch(getLoraModels());
+      dispatch(getTextualInversionTriggers());
       dispatch(setIsProcessing(false));
       dispatch(setIsCancelable(true));
       dispatch(

invokeai/frontend/src/app/socketio/listeners.ts

@@ -633,9 +633,8 @@ def process_image(image,seed):
         except RuntimeError:
             # Clear the CUDA cache on an exception
             self.clear_cuda_cache()
-
-            print(traceback.format_exc(), file=sys.stderr)
-            print(">> Could not generate image.")
+            print("** Could not generate image.")
+            raise
 
         toc = time.time()
         print("\n>> Usage stats:")

invokeai/frontend/stats.html

@@ -4,6 +4,7 @@
 import sys
 import traceback
 from argparse import Namespace
+from packaging import version
 from pathlib import Path
 from typing import Union
 
@@ -25,6 +26,7 @@
 from .globals import Globals, global_config_dir
 from .image_util import make_grid
 from .log import write_log
+from .model_manager import ModelManager
 from .pngwriter import PngWriter, retrieve_metadata, write_metadata
 from .readline import Completer, get_completer
 from ..util import url_attachment_name
@@ -64,6 +66,9 @@ def main():
     Globals.sequential_guidance = args.sequential_guidance
     Globals.ckpt_convert = True  # always true as of 2.3.4 for LoRA support
 
+    # run any post-install patches needed
+    run_patches()
+
     print(f">> Internet connectivity is {Globals.internet_available}")
 
     if not args.conf:
@@ -108,6 +113,9 @@ def main():
     if opt.lora_path:
         Globals.lora_models_dir = opt.lora_path
 
+    # migrate legacy models
+    ModelManager.migrate_models()
+
     # load the infile as a list of lines
     if opt.infile:
         try:
@@ -1291,6 +1299,62 @@ def retrieve_last_used_model()->str:
     with open(model_file_path,'r') as f:
         return f.readline()
 
+# This routine performs any patch-ups needed after installation
+def run_patches():
+    install_missing_config_files()
+    version_file = Path(Globals.root,'.version')
+    if version_file.exists():
+        with open(version_file,'r') as f:
+            root_version = version.parse(f.readline() or 'v2.3.2')
+    else:
+        root_version = version.parse('v2.3.2')
+    app_version = version.parse(ldm.invoke.__version__)
+    if root_version < app_version:
+        try:
+            do_version_update(root_version, ldm.invoke.__version__)
+            with open(version_file,'w') as f:
+                f.write(ldm.invoke.__version__)
+        except:
+            print("** Update failed. Will try again on next launch")
+
+def install_missing_config_files():
+    """
+    install ckpt configuration files that may have been added to the
+    distro after original root directory configuration
+    """
+    import invokeai.configs as conf
+    from shutil import copyfile
+    
+    root_configs = Path(global_config_dir(), 'stable-diffusion')
+    repo_configs = Path(conf.__path__[0], 'stable-diffusion')
+    for src in repo_configs.iterdir():
+        dest = root_configs / src.name
+        if not dest.exists():
+            copyfile(src,dest)
+    
+def do_version_update(root_version: version.Version, app_version: Union[str, version.Version]):
+    """
+    Make any updates to the launcher .sh and .bat scripts that may be needed
+    from release to release. This is not an elegant solution. Instead, the 
+    launcher should be moved into the source tree and installed using pip.
+    """
+    if root_version < version.Version('v2.3.4'):
+        dest = Path(Globals.root,'loras')
+        dest.mkdir(exist_ok=True)
+    if root_version < version.Version('v2.3.3'):
+        if sys.platform == "linux":
+            print('>> Downloading new version of launcher script and its config file')
+            from ldm.util import download_with_progress_bar
+            url_base = f'https://raw.githubusercontent.com/invoke-ai/InvokeAI/v{str(app_version)}/installer/templates/'
+
+            dest = Path(Globals.root,'invoke.sh.in')
+            assert download_with_progress_bar(url_base+'invoke.sh.in',dest)
+            dest.replace(Path(Globals.root,'invoke.sh'))
+            os.chmod(Path(Globals.root,'invoke.sh'), 0o0755)
+
+            dest = Path(Globals.root,'dialogrc')
+            assert download_with_progress_bar(url_base+'dialogrc',dest)
+            dest.replace(Path(Globals.root,'.dialogrc'))
 
 if __name__ == '__main__':
     main()

ldm/generate.py

@@ -21,6 +21,7 @@
 from shutil import get_terminal_size
 
 import npyscreen
+import torch
 import transformers
 from diffusers import AutoencoderKL
 from huggingface_hub import HfFolder
@@ -663,19 +664,8 @@ def initialize_rootdir(root: str, yes_to_all: bool = False):
     configs_src = Path(configs.__path__[0])
     configs_dest = Path(root) / "configs"
     if not os.path.samefile(configs_src, configs_dest):
-        shutil.copytree(configs_src,
-                        configs_dest,
-                        dirs_exist_ok=True,
-                        copy_function=shutil.copyfile,
-                        )
-    # Fix up directory permissions so that they are writable
-    # This can happen when running under Nix environment which
-    # makes the runtime directory template immutable.
-    for root,dirs,files in os.walk(os.path.join(root,name)):
-        for d in dirs:
-            Path(root,d).chmod(0o775)
-        for f in files:
-            Path(root,d).chmod(0o644)
+        shutil.copytree(configs_src, configs_dest, dirs_exist_ok=True)
+
 
 # -------------------------------------
 def run_console_ui(