Bugfix/windows install (#2770)

# This will constitute v2.3.1+rc2

## Windows installer enhancements
  
1. resize installer window to give more room for configure and download
forms
2. replace '\' with '/' in directory names to allow user to
drag-and-drop
       folders into the dialogue boxes that accept directories.
3. similar change in CLI for the !import_model and !convert_model
commands
4. better error reporting when a model download fails due to network
errors
5. put the launcher scripts into a loop so that menu reappears after
       invokeai, merge script, etc exits. User can quit with "Q".
6. do not try to download fp16 of sd-ft-mse-vae, since it doesn't exist.
7. cleaned up status reporting when installing models
8. Detect when install failed for some reason and print helpful error
      message rather than stack trace.
9. Detect window size and resize to minimum acceptable values to provide
      better display of configure and install forms.
10. Fix a bug in the CLI which prevented diffusers imported by their
repo_ids
from being correctly registered in the current session (though they
install
      correctly)
11. Capitalize the "i" in Imported in the autogenerated descriptions.

installer/create_installer.sh

@@ -20,10 +20,9 @@ echo Building installer for version $VERSION
 echo "Be certain that you're in the 'installer' directory before continuing."
 read -p "Press any key to continue, or CTRL-C to exit..."
 
-read -e -p "Commit and tag this repo with '${VERSION}' and '${LATEST_TAG}'? [n]: " input
+read -e -p "Tag this repo with '${VERSION}' and '${LATEST_TAG}'? [n]: " input
 RESPONSE=${input:='n'}
 if [ "$RESPONSE" == 'y' ]; then
-    git commit -a
 
     if ! git tag $VERSION ; then
 	    echo "Existing/invalid tag"
@@ -32,6 +31,8 @@ if [ "$RESPONSE" == 'y' ]; then
 
     git push origin :refs/tags/$LATEST_TAG
     git tag -fa $LATEST_TAG
+
+    echo "remember to push --tags!"
 fi
 
 # ----------------------

installer/lib/installer.py

@@ -336,7 +336,8 @@ class InvokeAiInstance:
             elif el in ['-y','--yes','--yes-to-all']:
                 new_argv.append(el)
         sys.argv = new_argv
-
+        
+        import requests  # to catch download exceptions
         from messages import introduction
 
         introduction()
@@ -346,7 +347,21 @@ class InvokeAiInstance:
         # NOTE: currently the config script does its own arg parsing! this means the command-line switches
         # from the installer will also automatically propagate down to the config script.
         # this may change in the future with config refactoring!
-        invokeai_configure.main()
+        succeeded = False
+        try:
+            invokeai_configure.main()
+            succeeded = True
+        except requests.exceptions.ConnectionError as e:
+            print(f'\nA network error was encountered during configuration and download: {str(e)}')
+        except OSError as e:
+            print(f'\nAn OS error was encountered during configuration and download: {str(e)}')
+        except Exception as e:
+            print(f'\nA problem was encountered during the configuration and download steps: {str(e)}')
+        finally:
+            if not succeeded:
+                print('To try again, find the "invokeai" directory, run the script "invoke.sh" or "invoke.bat"')
+                print('and choose option 7 to fix a broken install, optionally followed by option 5 to install models.')
+                print('Alternatively you can relaunch the installer.')
 
     def install_user_scripts(self):
         """

installer/templates/invoke.bat.in

@@ -6,8 +6,9 @@ setlocal
 call .venv\Scripts\activate.bat
 set INVOKEAI_ROOT=.
 
+:start
 echo Do you want to generate images using the
-echo 1. command-line
+echo 1. command-line interface
 echo 2. browser-based UI
 echo 3. run textual inversion training
 echo 4. merge models (diffusers type only)
@@ -17,7 +18,8 @@ echo 7. re-run the configure script to fix a broken install
 echo 8. open the developer console
 echo 9. update InvokeAI
 echo 10. command-line help
-set /P restore="Please enter 1-10: [2] "
+echo Q - quit
+set /P restore="Please enter 1-10, Q: [2] "
 if not defined restore set restore=2
 IF /I "%restore%" == "1" (
     echo Starting the InvokeAI command-line..
@@ -60,9 +62,19 @@ IF /I "%restore%" == "1" (
     python .venv\Scripts\invokeai.exe --help %*
     pause
     exit /b
+) ELSE IF /I "%restore%" == "q" (
+    echo Goodbye!
+    goto ending
 ) ELSE (
     echo Invalid selection
     pause
     exit /b
 )
+goto start
+
 endlocal
+pause
+
+:ending
+exit /b
+

installer/templates/invoke.sh.in

@@ -24,9 +24,11 @@ if [ "$(uname -s)" == "Darwin" ]; then
     export PYTORCH_ENABLE_MPS_FALLBACK=1
 fi
 
+while true
+do
 if [ "$0" != "bash" ]; then
     echo "Do you want to generate images using the"
-    echo "1. command-line"
+    echo "1. command-line interface"
     echo "2. browser-based UI"
     echo "3. run textual inversion training"
     echo "4. merge models (diffusers type only)"
@@ -35,35 +37,36 @@ if [ "$0" != "bash" ]; then
     echo "7. re-run the configure script to fix a broken install"
     echo "8. open the developer console"
     echo "9. update InvokeAI"
-    echo "10. command-line help "
+    echo "10. command-line help"
+    echo "Q - Quit"
     echo ""
-    read -p "Please enter 1-10: [2] " yn
+    read -p "Please enter 1-10, Q: [2] " yn
     choice=${yn:='2'}
     case $choice in
         1)
             echo "Starting the InvokeAI command-line..."
-            exec invokeai $@
+            invokeai $@
             ;;
         2)
             echo "Starting the InvokeAI browser-based UI..."
-            exec invokeai --web $@
+            invokeai --web $@
             ;;
         3)
             echo "Starting Textual Inversion:"
-            exec invokeai-ti --gui $@
+            invokeai-ti --gui $@
             ;;
         4)
             echo "Merging Models:"
-            exec invokeai-merge --gui $@
+            invokeai-merge --gui $@
             ;;
         5)
-            exec invokeai-model-install --root ${INVOKEAI_ROOT}
+            invokeai-model-install --root ${INVOKEAI_ROOT}
             ;;
         6)
-            exec invokeai-configure --root ${INVOKEAI_ROOT} --skip-sd-weights --skip-support-models
+            invokeai-configure --root ${INVOKEAI_ROOT} --skip-sd-weights --skip-support-models
             ;;
         7)
-            exec invokeai-configure --root ${INVOKEAI_ROOT} --yes --default_only
+            invokeai-configure --root ${INVOKEAI_ROOT} --yes --default_only
 	    ;;
 	8)
 	    echo "Developer Console:"
@@ -72,10 +75,13 @@ if [ "$0" != "bash" ]; then
             ;;
         9)
 	    echo "Update:"
-            exec invokeai-update
+            invokeai-update
             ;;
         10)
-            exec invokeai --help
+            invokeai --help
+            ;;
+	[qQ])
+            exit 0
             ;;
         *)
             echo "Invalid selection"
@@ -86,3 +92,4 @@ else # in developer console
     echo "Press ^D to exit"
     export PS1="(InvokeAI) \u@\h \w> "
 fi
+done

ldm/invoke/CLI.py

@@ -496,6 +496,7 @@ def main_loop(gen, opt):
 def do_command(command: str, gen, opt: Args, completer) -> tuple:
     global infile
     operation = "generate"  # default operation, alternative is 'postprocess'
+    command = command.replace('\\','/') # windows
 
     if command.startswith(
         "!dream"
@@ -630,7 +631,6 @@ def import_model(model_path: str, gen, opt, completer, convert=False) -> str:
     (3) a huggingface repository id; or (4) a local directory containing a
     diffusers model.
     """
-    model_path = model_path.replace("\\", "/")  # windows
     default_name = Path(model_path).stem
     model_name = None
     model_desc = None
@@ -672,7 +672,7 @@ def import_model(model_path: str, gen, opt, completer, convert=False) -> str:
 
     gen.model_manager.commit(opt.conf)
     completer.update_models(gen.model_manager.list_models())
-    print(f">> {model_name} successfully installed")
+    print(f">> {imported_name} successfully installed")
 
 def _verify_load(model_name: str, gen) -> bool:
     print(">> Verifying that new model loads...")

ldm/invoke/_version.py

@@ -1 +1 @@
-__version__='2.3.1+rc1'
+__version__='2.3.1+rc3'

ldm/invoke/config/invokeai_configure.py

@@ -8,7 +8,6 @@
 #
 print("Loading Python libraries...\n")
 import argparse
-import curses
 import io
 import os
 import re
@@ -19,6 +18,7 @@ import warnings
 from argparse import Namespace
 from pathlib import Path
 from urllib import request
+from shutil import get_terminal_size
 
 import npyscreen
 import torch
@@ -46,7 +46,8 @@ from .model_install_backend import (
     recommended_datasets,
     hf_download_with_resume,
 )
-from .widgets import IntTitleSlider, CenteredButtonPress
+from .widgets import IntTitleSlider, CenteredButtonPress, set_min_terminal_size
+
 
 warnings.filterwarnings("ignore")
 
@@ -64,6 +65,10 @@ SD_Configs = Path(global_config_dir()) / "stable-diffusion"
 
 Datasets = OmegaConf.load(Dataset_path)
 
+# minimum size for the UI
+MIN_COLS = 135
+MIN_LINES = 45
+
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
 # Feel free to edit. If anything goes wrong, you can re-initialize this file by deleting
@@ -109,8 +114,6 @@ Add the '--help' argument to see all of the command-line switches available for
 
 # ---------------------------------------------
 def yes_or_no(prompt: str, default_yes=True):
-    completer.set_options(["yes", "no"])
-    completer.complete_extensions(None)  # turn off path-completion mode
     default = "y" if default_yes else "n"
     response = input(f"{prompt} [{default}] ") or default
     if default_yes:
@@ -162,7 +165,6 @@ def download_with_progress_bar(model_url: str, model_dest: str, label: str = "th
         print(f"Installing {label} model file {model_url}...", end="", file=sys.stderr)
         if not os.path.exists(model_dest):
             os.makedirs(os.path.dirname(model_dest), exist_ok=True)
-            print("", file=sys.stderr)
             request.urlretrieve(
                 model_url, model_dest, ProgressBar(os.path.basename(model_dest))
             )
@@ -180,26 +182,22 @@ def download_with_progress_bar(model_url: str, model_dest: str, label: str = "th
 def download_bert():
     print(
         "Installing bert tokenizer...",
-        end="",
+        file=sys.stderr
-        file=sys.stderr,
     )
     with warnings.catch_warnings():
         warnings.filterwarnings("ignore", category=DeprecationWarning)
         from transformers import BertTokenizerFast
-
         download_from_hf(BertTokenizerFast, "bert-base-uncased")
-        print("...success", file=sys.stderr)
 
 
 # ---------------------------------------------
 def download_clip():
     print("Installing CLIP model...", file=sys.stderr)
     version = "openai/clip-vit-large-patch14"
-    print("Tokenizer...", file=sys.stderr, end="")
+    print("Tokenizer...", file=sys.stderr)
     download_from_hf(CLIPTokenizer, version)
-    print("Text model...", file=sys.stderr, end="")
+    print("Text model...", file=sys.stderr)
     download_from_hf(CLIPTextModel, version)
-    print("...success", file=sys.stderr)
 
 
 # ---------------------------------------------
@@ -252,7 +250,7 @@ def download_codeformer():
 
 # ---------------------------------------------
 def download_clipseg():
-    print("Installing clipseg model for text-based masking...", end="", file=sys.stderr)
+    print("Installing clipseg model for text-based masking...", file=sys.stderr)
     CLIPSEG_MODEL = "CIDAS/clipseg-rd64-refined"
     try:
         download_from_hf(AutoProcessor, CLIPSEG_MODEL)
@@ -260,7 +258,6 @@ def download_clipseg():
     except Exception:
         print("Error installing clipseg model:")
         print(traceback.format_exc())
-    print("...success", file=sys.stderr)
 
 
 # -------------------------------------
@@ -276,15 +273,14 @@ def download_safety_checker():
         print(traceback.format_exc())
         return
     safety_model_id = "CompVis/stable-diffusion-safety-checker"
-    print("AutoFeatureExtractor...", end="", file=sys.stderr)
+    print("AutoFeatureExtractor...", file=sys.stderr)
     download_from_hf(AutoFeatureExtractor, safety_model_id)
-    print("StableDiffusionSafetyChecker...", end="", file=sys.stderr)
+    print("StableDiffusionSafetyChecker...", file=sys.stderr)
     download_from_hf(StableDiffusionSafetyChecker, safety_model_id)
-    print("...success", file=sys.stderr)
 
 
 # -------------------------------------
-def download_vaes(precision: str):
+def download_vaes():
     print("Installing stabilityai VAE...", file=sys.stderr)
     try:
         # first the diffusers version
@@ -292,8 +288,6 @@ def download_vaes(precision: str):
         args = dict(
             cache_dir=global_cache_dir("diffusers"),
         )
-        if precision == "float16":
-            args.update(torch_dtype=torch.float16, revision="fp16")
         if not AutoencoderKL.from_pretrained(repo_id, **args):
             raise Exception(f"download of {repo_id} failed")
 
@@ -306,7 +300,6 @@ def download_vaes(precision: str):
             model_dir=str(Globals.root / Model_dir / Weights_dir),
         ):
             raise Exception(f"download of {model_name} failed")
-        print("...downloaded successfully", file=sys.stderr)
     except Exception as e:
         print(f"Error downloading StabilityAI standard VAE: {str(e)}", file=sys.stderr)
         print(traceback.format_exc(), file=sys.stderr)
@@ -332,8 +325,7 @@ class editOptsForm(npyscreen.FormMultiPage):
         old_opts = self.parentApp.invokeai_opts
         first_time = not (Globals.root / Globals.initfile).exists()
         access_token = HfFolder.get_token()
-
+        window_width,window_height = get_terminal_size()
-        window_height, window_width = curses.initscr().getmaxyx()
         for i in [
             "Configure startup settings. You can come back and change these later.",
             "Use ctrl-N and ctrl-P to move to the <N>ext and <P>revious fields.",
@@ -676,6 +668,8 @@ def run_console_ui(
 ) -> (Namespace, Namespace):
     # parse_args() will read from init file if present
     invokeai_opts = default_startup_options(initfile)
+
+    set_min_terminal_size(MIN_COLS, MIN_LINES)
     editApp = EditOptApplication(program_opts, invokeai_opts)
     editApp.run()
     if editApp.user_cancelled:
@@ -683,7 +677,6 @@ def run_console_ui(
     else:
         return (editApp.new_opts, editApp.user_selections)
 
-
 # -------------------------------------
 def write_opts(opts: Namespace, init_file: Path):
     """
@@ -703,6 +696,9 @@ def write_opts(opts: Namespace, init_file: Path):
     args_to_skip = re.compile(
         "^--?(o|out|no-xformer|xformer|no-ckpt|ckpt|free|no-nsfw|nsfw|prec|max_load|embed|always|ckpt|free_gpu)"
     )
+    # fix windows paths
+    opts.outdir = opts.outdir.replace('\\','/')
+    opts.embedding_path = opts.embedding_path.replace('\\','/')
     new_file = f"{init_file}.new"
     try:
         lines = [x.strip() for x in open(init_file, "r").readlines()]
@@ -842,7 +838,7 @@ def main():
             download_codeformer()
             download_clipseg()
             download_safety_checker()
-            download_vaes(init_options.precision)
+            download_vaes()
 
         if opt.skip_sd_weights:
             print("\n** SKIPPING DIFFUSION WEIGHTS DOWNLOAD PER USER REQUEST **")
@@ -853,10 +849,6 @@ def main():
         postscript(errors=errors)
     except KeyboardInterrupt:
         print("\nGoodbye! Come back soon.")
-    except Exception as e:
-        print(f'\nA problem occurred during initialization.\nThe error was: "{str(e)}"')
-        print(traceback.format_exc())
-
 
 # -------------------------------------
 if __name__ == "__main__":

ldm/invoke/config/model_install.py

@@ -10,10 +10,8 @@ The work is actually done in backend code in model_install_backend.py.
 """
 
 import argparse
-import curses
 import os
 import sys
-import traceback
 from argparse import Namespace
 from pathlib import Path
 from typing import List
@@ -22,15 +20,23 @@ import npyscreen
 import torch
 from npyscreen import widget
 from omegaconf import OmegaConf
+from shutil import get_terminal_size
 
 from ..devices import choose_precision, choose_torch_device
 from ..globals import Globals, global_config_dir
 from .model_install_backend import (Dataset_path, default_config_file,
                                     default_dataset, get_root,
                                     install_requested_models,
-                                    recommended_datasets)
+                                    recommended_datasets,
+                                    )
 from .widgets import (MultiSelectColumns, TextBox,
-                      OffsetButtonPress, CenteredTitleText)
+                      OffsetButtonPress, CenteredTitleText,
+                      set_min_terminal_size,
+                      )
+
+# minimum size for the UI
+MIN_COLS = 120
+MIN_LINES = 45
 
 class addModelsForm(npyscreen.FormMultiPage):
     # for responsive resizing - disabled
@@ -50,7 +56,7 @@ class addModelsForm(npyscreen.FormMultiPage):
         super().__init__(parentApp=parentApp, name=name, *args, **keywords)
 
     def create(self):
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width, window_height = get_terminal_size()
         starter_model_labels = self._get_starter_model_labels()
         recommended_models = [
             x
@@ -249,7 +255,7 @@ class addModelsForm(npyscreen.FormMultiPage):
         )
 
     def _get_starter_model_labels(self) -> List[str]:
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width, window_height = get_terminal_size()
         label_width = 25
         checkbox_width = 4
         spacing_width = 2
@@ -268,7 +274,7 @@ class addModelsForm(npyscreen.FormMultiPage):
         ]
 
     def _get_columns(self) -> int:
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width, window_height = get_terminal_size()
         cols = (
             4
             if window_width > 240
@@ -362,7 +368,6 @@ class AddModelApplication(npyscreen.NPSAppManaged):
             "MAIN", addModelsForm, name="Install Stable Diffusion Models"
         )
 
-
 # --------------------------------------------------------
 def process_and_execute(opt: Namespace, selections: Namespace):
     models_to_remove = [
@@ -409,6 +414,7 @@ def select_and_download_models(opt: Namespace):
             precision=precision,
         )
     else:
+        set_min_terminal_size(MIN_COLS, MIN_LINES)
         installApp = AddModelApplication()
         installApp.run()
 
@@ -475,7 +481,7 @@ def main():
         sys.exit(-1)
     except KeyboardInterrupt:
         print("\nGoodbye! Come back soon.")
-    except (widget.NotEnoughSpaceForWidget, Exception) as e:
+    except widget.NotEnoughSpaceForWidget as e:
         if str(e).startswith("Height of 1 allocated"):
             print(
                 "** Insufficient vertical space for the interface. Please make your window taller and try again"
@@ -484,11 +490,6 @@ def main():
             print(
                 "** Insufficient horizontal space for the interface. Please make your window wider and try again."
             )
-        else:
-            print(f"** An error has occurred: {str(e)}")
-            traceback.print_exc()
-        sys.exit(-1)
-
 
 # -------------------------------------
 if __name__ == "__main__":

ldm/invoke/config/model_install_backend.py

@@ -67,6 +67,9 @@ def install_requested_models(
         purge_deleted: bool = False,
         config_file_path: Path = None,
 ):
+    '''
+    Entry point for installing/deleting starter models, or installing external models.
+    '''
     config_file_path=config_file_path or default_config_file()
     if not config_file_path.exists():
         open(config_file_path,'w')
@@ -117,14 +120,15 @@ def install_requested_models(
         argument = '--autoconvert' if convert_to_diffusers else '--autoimport'
         initfile = Path(Globals.root, Globals.initfile)
         replacement = Path(Globals.root, f'{Globals.initfile}.new')
+        directory = str(scan_directory).replace('\\','/')
         with open(initfile,'r') as input:
             with open(replacement,'w') as output:
                 while line := input.readline():
                     if not line.startswith(argument):
                         output.writelines([line])
-                output.writelines([f'{argument} {str(scan_directory)}'])
+                output.writelines([f'{argument} {directory}'])
         os.replace(replacement,initfile)
-            
+
 # -------------------------------------
 def yes_or_no(prompt: str, default_yes=True):
     default = "y" if default_yes else "n"
@@ -231,7 +235,6 @@ def _download_ckpt_weights(mconfig: DictConfig, access_token: str) -> Path:
 def download_from_hf(
     model_class: object, model_name: str, cache_subdir: Path = Path("hub"), **kwargs
 ):
-    print("", file=sys.stderr)  # to prevent tqdm from overwriting
     path = global_cache_dir(cache_subdir)
     model = model_class.from_pretrained(
         model_name,

ldm/invoke/config/widgets.py

@@ -2,8 +2,34 @@
 Widget class definitions used by model_select.py, merge_diffusers.py and textual_inversion.py
 '''
 import math
+import platform
 import npyscreen
+import os
+import sys
 import curses
+import struct
+
+from shutil import get_terminal_size
+
+# -------------------------------------
+def set_terminal_size(columns: int, lines: int):
+    OS = platform.uname().system
+    if OS=="Windows":
+        os.system(f'mode con: cols={columns} lines={lines}')
+    elif OS in ['Darwin', 'Linux']:
+        import termios
+        import fcntl
+        winsize = struct.pack("HHHH", lines, columns, 0, 0)
+        fcntl.ioctl(sys.stdout.fileno(), termios.TIOCSWINSZ, winsize)
+        sys.stdout.write("\x1b[8;{rows};{cols}t".format(rows=lines, cols=columns))
+        sys.stdout.flush()
+
+def set_min_terminal_size(min_cols: int, min_lines: int):
+    # make sure there's enough room for the ui
+    term_cols, term_lines = get_terminal_size()
+    cols  = max(term_cols, min_cols)
+    lines = max(term_lines, min_lines)
+    set_terminal_size(cols,lines)
 
 class IntSlider(npyscreen.Slider):
     def translate_value(self):
@@ -23,7 +49,6 @@ class CenteredTitleText(npyscreen.TitleText):
         maxy, maxx = self.parent.curses_pad.getmaxyx()
         label = self.name
         self.relx = (maxx - len(label)) // 2
-        begin_entry_at = -self.relx + 2
     
 # -------------------------------------
 class CenteredButtonPress(npyscreen.ButtonPress):

ldm/invoke/model_manager.py

@@ -428,8 +428,6 @@ class ModelManager(object):
             torch.cuda.reset_peak_memory_stats()
             torch.cuda.empty_cache()
 
-        tic = time.time()
-
         # this does the work
         if not os.path.isabs(config):
             config = os.path.join(Globals.root, config)
@@ -642,21 +640,18 @@ class ModelManager(object):
         models.yaml file.
         """
         model_name = model_name or Path(repo_or_path).stem
-        description = model_description or f"imported diffusers model {model_name}"
+        model_description = model_description or f"Imported diffusers model {model_name}"
         new_config = dict(
             description=model_description,
             vae=vae,
             format="diffusers",
         )
-        print(f"DEBUG: here i am 1")
         if isinstance(repo_or_path, Path) and repo_or_path.exists():
             new_config.update(path=str(repo_or_path))
         else:
             new_config.update(repo_id=repo_or_path)
-        print(f"DEBUG: here i am 2")
 
         self.add_model(model_name, new_config, True)
-        print(f"DEBUG: config = {self.config}")
         if commit_to_conf:
             self.commit(commit_to_conf)
         return model_name
@@ -704,7 +699,7 @@ class ModelManager(object):
             model_name or Path(weights).stem
         )  # note this gives ugly pathnames if used on a URL without a Content-Disposition header
         model_description = (
-            model_description or f"imported stable diffusion weights file {model_name}"
+            model_description or f"Imported stable diffusion weights file {model_name}"
         )
         new_config = dict(
             weights=str(weights_path),
@@ -840,7 +835,7 @@ class ModelManager(object):
                 thing, commit_to_conf=commit_to_conf
             )
             pipeline, _, _, _ = self._load_diffusers_model(self.config[model_name])
-
+            return model_name
         else:
             print(
                 f"** {thing}: Unknown thing. Please provide a URL, file path, directory or HuggingFace repo_id"

pyproject.toml

@@ -38,7 +38,7 @@ dependencies = [
   "albumentations",
   "click",
   "clip_anytorch",          # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
-  "compel>=0.1.6",
+  "compel==0.1.7",
   "datasets",
   "diffusers[torch]~=0.13",
   "dnspython==2.2.1",