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This commit is contained in:
Lincoln Stein 2023-08-05 12:44:58 -04:00
parent c8ceb96091
commit 4043a4c21c
1 changed files with 131 additions and 82 deletions
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207
invokeai/frontend/install/import_images.py
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@ -26,22 +26,28 @@ from prompt_toolkit.completion import PathCompleter
from prompt_toolkit.key_binding import KeyBindings from prompt_toolkit.key_binding import KeyBindings
from invokeai.app.services.config import InvokeAIAppConfig from invokeai.app.services.config import InvokeAIAppConfig
app_config = InvokeAIAppConfig.get_config() app_config = InvokeAIAppConfig.get_config()
bindings = KeyBindings() bindings = KeyBindings()
@bindings.add('c-c')
@bindings.add("c-c")
def _(event): def _(event):
raise KeyboardInterrupt raise KeyboardInterrupt
# release notes # release notes
# "Use All" with size dimensions not selectable in the UI will not load dimensions # "Use All" with size dimensions not selectable in the UI will not load dimensions
class Config: class Config:
"""Configuration loader.""" """Configuration loader."""
def __init__(self): def __init__(self):
pass pass
TIMESTAMP_STRING= datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ") TIMESTAMP_STRING = datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
INVOKE_DIRNAME = "invokeai" INVOKE_DIRNAME = "invokeai"
YAML_FILENAME = "invokeai.yaml" YAML_FILENAME = "invokeai.yaml"
@ -56,21 +62,21 @@ class Config:
"""find the yaml config file and load""" """find the yaml config file and load"""
root = app_config.root_path root = app_config.root_path
if not self.confirm_and_load(os.path.abspath(root)): if not self.confirm_and_load(os.path.abspath(root)):
print ("\r\nSpecify custom database and outputs paths:") print("\r\nSpecify custom database and outputs paths:")
self.confirm_and_load_from_user() self.confirm_and_load_from_user()
self.database_backup_dir = os.path.join(os.path.dirname(self.database_path),"backup") self.database_backup_dir = os.path.join(os.path.dirname(self.database_path), "backup")
self.thumbnail_path = os.path.join(self.outputs_path,"thumbnails") self.thumbnail_path = os.path.join(self.outputs_path, "thumbnails")
def confirm_and_load(self, invoke_root): def confirm_and_load(self, invoke_root):
"""Validates a yaml path exists, confirms the user wants to use it and loads config.""" """Validates a yaml path exists, confirms the user wants to use it and loads config."""
yaml_path = os.path.join(invoke_root,self.YAML_FILENAME) yaml_path = os.path.join(invoke_root, self.YAML_FILENAME)
if os.path.exists(yaml_path): if os.path.exists(yaml_path):
db_dir, outdir = self.load_paths_from_yaml(yaml_path) db_dir, outdir = self.load_paths_from_yaml(yaml_path)
if os.path.isabs(db_dir): if os.path.isabs(db_dir):
database_path = os.path.join(db_dir,self.DATABASE_FILENAME) database_path = os.path.join(db_dir, self.DATABASE_FILENAME)
else: else:
database_path = os.path.join(invoke_root,db_dir,self.DATABASE_FILENAME) database_path = os.path.join(invoke_root, db_dir, self.DATABASE_FILENAME)
if os.path.isabs(outdir): if os.path.isabs(outdir):
outputs_path = os.path.join(outdir, "images") outputs_path = os.path.join(outdir, "images")
@ -86,7 +92,7 @@ class Config:
text += "\n\nUse these paths for import (yes) or choose different ones (no) [Yn]: " text += "\n\nUse these paths for import (yes) or choose different ones (no) [Yn]: "
if db_exists and outdir_exists: if db_exists and outdir_exists:
if (prompt(text).strip() or 'Y').upper().startswith('Y'): if (prompt(text).strip() or "Y").upper().startswith("Y"):
self.database_path = database_path self.database_path = database_path
self.outputs_path = outputs_path self.outputs_path = outputs_path
return True return True
@ -98,35 +104,39 @@ class Config:
else: else:
message_dialog( message_dialog(
title="Path not found", title="Path not found",
text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified." text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified.",
).run() ).run()
return False return False
def confirm_and_load_from_user(self): def confirm_and_load_from_user(self):
default = '' default = ""
while True: while True:
database_path = os.path.expanduser( database_path = os.path.expanduser(
prompt( prompt(
"Database: Specify absolute path to the database to import into: ", "Database: Specify absolute path to the database to import into: ",
completer=PathCompleter(expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith(('.db'))), completer=PathCompleter(
default = default, expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith((".db"))
)) ),
default=default,
)
)
if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path): if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
break break
default = database_path + '/' if Path(database_path).is_dir() else database_path default = database_path + "/" if Path(database_path).is_dir() else database_path
default = '' default = ""
while True: while True:
outputs_path = os.path.expanduser( outputs_path = os.path.expanduser(
prompt( prompt(
"Outputs: Specify absolute path to outputs/images directory to import into: ", "Outputs: Specify absolute path to outputs/images directory to import into: ",
completer = PathCompleter(expanduser=True, only_directories=True), completer=PathCompleter(expanduser=True, only_directories=True),
default = default, default=default,
)) )
)
if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path): if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
break break
default = outputs_path + '/' if Path(outputs_path).is_dir() else outputs_path default = outputs_path + "/" if Path(outputs_path).is_dir() else outputs_path
self.database_path = database_path self.database_path = database_path
self.outputs_path = outputs_path self.outputs_path = outputs_path
@ -136,17 +146,19 @@ class Config:
def load_paths_from_yaml(self, yaml_path): def load_paths_from_yaml(self, yaml_path):
"""Load an Invoke AI yaml file and get the database and outputs paths.""" """Load an Invoke AI yaml file and get the database and outputs paths."""
try: try:
with open(yaml_path, 'rt', encoding=locale.getpreferredencoding()) as file: with open(yaml_path, "rt", encoding=locale.getpreferredencoding()) as file:
yamlinfo = yaml.safe_load(file) yamlinfo = yaml.safe_load(file)
db_dir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("db_dir", None) db_dir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("db_dir", None)
outdir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("outdir", None) outdir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("outdir", None)
return db_dir, outdir return db_dir, outdir
except Exception: except Exception:
print(f"Failed to load paths from yaml file! {yaml_path}!") print(f"Failed to load paths from yaml file! {yaml_path}!")
return None, None return None, None
class ImportStats: class ImportStats:
"""DTO for tracking work progress.""" """DTO for tracking work progress."""
def __init__(self): def __init__(self):
pass pass
@ -171,8 +183,10 @@ class ImportStats:
out_str += f"{seconds:.2f} second(s)" out_str += f"{seconds:.2f} second(s)"
return out_str return out_str
class InvokeAIMetadata: class InvokeAIMetadata:
"""DTO for core Invoke AI generation properties parsed from metadata.""" """DTO for core Invoke AI generation properties parsed from metadata."""
def __init__(self): def __init__(self):
pass pass
@ -234,6 +248,7 @@ class InvokeAIMetadata:
class InvokeAIMetadataParser: class InvokeAIMetadataParser:
"""Parses strings with json data to find Invoke AI core metadata properties.""" """Parses strings with json data to find Invoke AI core metadata properties."""
def __init__(self): def __init__(self):
pass pass
@ -271,15 +286,15 @@ class InvokeAIMetadataParser:
props.width = img_node.get("width") props.width = img_node.get("width")
props.height = img_node.get("height") props.height = img_node.get("height")
props.seed = img_node.get("seed") props.seed = img_node.get("seed")
props.rand_device = "cuda" #hardcoded since all generations pre 3.0 used cuda random noise instead of cpu props.rand_device = "cuda" # hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
props.cfg_scale = img_node.get("cfg_scale") props.cfg_scale = img_node.get("cfg_scale")
props.steps = img_node.get("steps") props.steps = img_node.get("steps")
props.scheduler = self.map_scheduler(img_node.get("sampler")) props.scheduler = self.map_scheduler(img_node.get("sampler"))
props.strength = img_node.get("strength") props.strength = img_node.get("strength")
if props.strength is None: if props.strength is None:
props.strength = img_node.get("strength_steps") # try second name for this property props.strength = img_node.get("strength_steps") # try second name for this property
props.init_image = img_node.get("init_image_path") props.init_image = img_node.get("init_image_path")
if props.init_image is None: # try second name for this property if props.init_image is None: # try second name for this property
props.init_image = img_node.get("init_img") props.init_image = img_node.get("init_img")
# remove the path info from init_image so if we move the init image, it will be correctly relative in the new location # remove the path info from init_image so if we move the init image, it will be correctly relative in the new location
if props.init_image is not None: if props.init_image is not None:
@ -299,7 +314,7 @@ class InvokeAIMetadataParser:
props.imported_app_version = "3.0.0 or later" props.imported_app_version = "3.0.0 or later"
props.generation_mode = tag_value.get("type") props.generation_mode = tag_value.get("type")
if props.generation_mode is not None: if props.generation_mode is not None:
props.generation_mode = props.generation_mode.replace("t2l","txt2img").replace("l2l","img2img") props.generation_mode = props.generation_mode.replace("t2l", "txt2img").replace("l2l", "img2img")
props.width = tag_value.get("width") props.width = tag_value.get("width")
props.height = tag_value.get("height") props.height = tag_value.get("height")
@ -318,30 +333,41 @@ class InvokeAIMetadataParser:
if old_scheduler is None: if old_scheduler is None:
return None return None
match(old_scheduler): match (old_scheduler):
case "ddim" : return "ddim" case "ddim":
case "plms" : return "pnmd" return "ddim"
case "k_lms" : return "lms" case "plms":
case "k_dpm_2" : return "kdpm_2" return "pnmd"
case "k_dpm_2_a" : return "kdpm_2_a" case "k_lms":
case "dpmpp_2" : return "dpmpp_2s" return "lms"
case "k_dpmpp_2" : return "dpmpp_2m" case "k_dpm_2":
case "k_dpmpp_2_a" : return None #invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session return "kdpm_2"
case "k_euler" : return "euler" case "k_dpm_2_a":
case "k_euler_a" : return "euler_a" return "kdpm_2_a"
case "k_heun" : return "heun" case "dpmpp_2":
return "dpmpp_2s"
case "k_dpmpp_2":
return "dpmpp_2m"
case "k_dpmpp_2_a":
return None # invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
case "k_euler":
return "euler"
case "k_euler_a":
return "euler_a"
case "k_heun":
return "heun"
return None return None
def split_prompt(self, raw_prompt: str): def split_prompt(self, raw_prompt: str):
"""Split the unified prompt strings by extracting all negative prompt blocks out into the negative prompt.""" """Split the unified prompt strings by extracting all negative prompt blocks out into the negative prompt."""
if raw_prompt is None: if raw_prompt is None:
return "", "" return "", ""
raw_prompt_search = raw_prompt.replace("\r","").replace("\n","") raw_prompt_search = raw_prompt.replace("\r", "").replace("\n", "")
matches = re.findall(r"\[(.+?)\]", raw_prompt_search) matches = re.findall(r"\[(.+?)\]", raw_prompt_search)
if len(matches) > 0: if len(matches) > 0:
negative_prompt = "" negative_prompt = ""
if len(matches) == 1: if len(matches) == 1:
negative_prompt = matches[0].strip().strip(',') negative_prompt = matches[0].strip().strip(",")
else: else:
for match in matches: for match in matches:
negative_prompt += f"({match.strip().strip(',')})" negative_prompt += f"({match.strip().strip(',')})"
@ -350,10 +376,12 @@ class InvokeAIMetadataParser:
positive_prompt = raw_prompt_search.strip() positive_prompt = raw_prompt_search.strip()
negative_prompt = "" negative_prompt = ""
return positive_prompt,negative_prompt return positive_prompt, negative_prompt
class DatabaseMapper: class DatabaseMapper:
"""Class to abstract database functionality.""" """Class to abstract database functionality."""
def __init__(self, database_path, database_backup_dir): def __init__(self, database_path, database_backup_dir):
self.database_path = database_path self.database_path = database_path
self.database_backup_dir = database_backup_dir self.database_backup_dir = database_backup_dir
@ -391,7 +419,7 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
sql_find_board = f"SELECT board_id FROM boards WHERE board_name='{board_name}' COLLATE NOCASE" sql_find_board = f"SELECT board_id FROM boards WHERE board_name='{board_name}' COLLATE NOCASE"
self.cursor.execute(sql_find_board) self.cursor.execute(sql_find_board)
rows = self.cursor.fetchall() rows = self.cursor.fetchall()
if len(rows)>0: if len(rows) > 0:
return rows[0][0] return rows[0][0]
else: else:
board_date_string = datetime.datetime.utcnow().date().isoformat() board_date_string = datetime.datetime.utcnow().date().isoformat()
@ -419,16 +447,18 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
def backup(self, timestamp_string): def backup(self, timestamp_string):
"""Take a backup of the database.""" """Take a backup of the database."""
if not os.path.exists(self.database_backup_dir): if not os.path.exists(self.database_backup_dir):
print (f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="") print(f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
os.makedirs(self.database_backup_dir) os.makedirs(self.database_backup_dir)
print ("Done!") print("Done!")
database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db") database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db")
print (f"Making DB Backup at {database_backup_path}...", end="") print(f"Making DB Backup at {database_backup_path}...", end="")
shutil.copy2(self.database_path, database_backup_path) shutil.copy2(self.database_path, database_backup_path)
print ("Done!") print("Done!")
class MediaImportProcessor: class MediaImportProcessor:
"""Containing class for script functionality.""" """Containing class for script functionality."""
def __init__(self): def __init__(self):
pass pass
@ -437,25 +467,28 @@ class MediaImportProcessor:
def get_import_file_list(self): def get_import_file_list(self):
"""Ask the user for the import folder and scan for the list of files to return.""" """Ask the user for the import folder and scan for the list of files to return."""
while True: while True:
default = '' default = ""
while True: while True:
import_dir = os.path.expanduser( import_dir = os.path.expanduser(
prompt( prompt(
"Inputs: Specify absolute path containing InvokeAI .png images to import: ", "Inputs: Specify absolute path containing InvokeAI .png images to import: ",
completer = PathCompleter(expanduser=True, only_directories=True), completer=PathCompleter(expanduser=True, only_directories=True),
default = default, default=default,
)) )
if len(import_dir)>0 and Path(import_dir).is_dir(): )
if len(import_dir) > 0 and Path(import_dir).is_dir():
break break
default = import_dir default = import_dir
recurse_directories = (prompt("Include files from subfolders recursively [yN]? ").strip() or 'N').upper().startswith('N') recurse_directories = (
(prompt("Include files from subfolders recursively [yN]? ").strip() or "N").upper().startswith("N")
)
if recurse_directories: if recurse_directories:
is_recurse = False is_recurse = False
matching_file_list = glob.glob(import_dir + '/*.png', recursive=False) matching_file_list = glob.glob(import_dir + "/*.png", recursive=False)
else: else:
is_recurse = True is_recurse = True
matching_file_list = glob.glob(import_dir + '/**/*.png', recursive=True) matching_file_list = glob.glob(import_dir + "/**/*.png", recursive=True)
if len(matching_file_list) > 0: if len(matching_file_list) > 0:
return import_dir, is_recurse, matching_file_list return import_dir, is_recurse, matching_file_list
@ -475,17 +508,23 @@ class MediaImportProcessor:
while True: while True:
print("\r\nOptions for board selection for imported images:") print("\r\nOptions for board selection for imported images:")
print(f"1) Select an existing board name. (found {len(board_names)})") print(f"1) Select an existing board name. (found {len(board_names)})")
print( "2) Specify a board name to create/add to.") print("2) Specify a board name to create/add to.")
print( "3) Create/add to board named 'IMPORT'.") print("3) Create/add to board named 'IMPORT'.")
print(f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string}).") print(
print( "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5).") f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string})."
)
print(
"5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5)."
)
input_option = input("Specify desired board option: ") input_option = input("Specify desired board option: ")
match(input_option): match (input_option):
case "1" : case "1":
if len(board_names) < 1: if len(board_names) < 1:
print("\r\nThere are no existing board names to choose from. Select another option!") print("\r\nThere are no existing board names to choose from. Select another option!")
continue continue
board_name = self.select_item_from_list(board_names, "board name", True, "Cancel, go back and choose a different board option.") board_name = self.select_item_from_list(
board_names, "board name", True, "Cancel, go back and choose a different board option."
)
if board_name is not None: if board_name is not None:
return board_name return board_name
case "2": case "2":
@ -493,7 +532,7 @@ class MediaImportProcessor:
board_name = input("Specify new/existing board name: ") board_name = input("Specify new/existing board name: ")
if board_name: if board_name:
return board_name return board_name
case "3" : case "3":
return "IMPORT" return "IMPORT"
case "4": case "4":
return f"IMPORT_{timestamp_string}" return f"IMPORT_{timestamp_string}"
@ -502,7 +541,7 @@ class MediaImportProcessor:
def select_item_from_list(self, items, entity_name, allow_cancel, cancel_string): def select_item_from_list(self, items, entity_name, allow_cancel, cancel_string):
"""A general function to render a list of items to select in the console, prompt the user for a selection and ensure a valid entry is selected.""" """A general function to render a list of items to select in the console, prompt the user for a selection and ensure a valid entry is selected."""
print (f"Select a {entity_name.lower()} from the following list:") print(f"Select a {entity_name.lower()} from the following list:")
index = 1 index = 1
for item in items: for item in items:
print(f"{index}) {item}") print(f"{index}) {item}")
@ -516,8 +555,8 @@ class MediaImportProcessor:
continue continue
if allow_cancel and option_number == index: if allow_cancel and option_number == index:
return None return None
if option_number >=1 and option_number <= len(items): if option_number >= 1 and option_number <= len(items):
return items[option_number-1] return items[option_number - 1]
def import_image(self, filepath: str, board_name_option: str, db_mapper: DatabaseMapper, config: Config): def import_image(self, filepath: str, board_name_option: str, db_mapper: DatabaseMapper, config: Config):
"""Import a single file by its path""" """Import a single file by its path"""
@ -577,12 +616,14 @@ class MediaImportProcessor:
latest_json_string = converted_field.to_json() latest_json_string = converted_field.to_json()
print (f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.") print(f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
# if metadata needs update, then update metdata and copy in one shot # if metadata needs update, then update metdata and copy in one shot
if destination_needs_meta_update: if destination_needs_meta_update:
print("Updating metadata while copying...", end="") print("Updating metadata while copying...", end="")
self.update_file_metadata_while_copying(filepath, file_destination_path, "invokeai_metadata", latest_json_string) self.update_file_metadata_while_copying(
filepath, file_destination_path, "invokeai_metadata", latest_json_string
)
print("Done!") print("Done!")
else: else:
print("No metadata update necessary, copying only...", end="") print("No metadata update necessary, copying only...", end="")
@ -591,7 +632,7 @@ class MediaImportProcessor:
# create thumbnail # create thumbnail
print("Creating thumbnail...", end="") print("Creating thumbnail...", end="")
thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) + ".webp" thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) + ".webp"
thumbnail_size = 256, 256 thumbnail_size = 256, 256
with PIL.Image.open(filepath) as source_image: with PIL.Image.open(filepath) as source_image:
source_image.thumbnail(thumbnail_size) source_image.thumbnail(thumbnail_size)
@ -619,7 +660,7 @@ class MediaImportProcessor:
db_mapper.add_new_image_to_database(file_name, png_width, png_height, latest_json_string, modified_time) db_mapper.add_new_image_to_database(file_name, png_width, png_height, latest_json_string, modified_time)
print("Done!") print("Done!")
#add image to board # add image to board
print("Adding image to board......", end="") print("Adding image to board......", end="")
db_mapper.add_image_to_board(file_name, board_id) db_mapper.add_image_to_board(file_name, board_id)
print("Done!") print("Done!")
@ -638,7 +679,7 @@ class MediaImportProcessor:
# re-add any existing invoke ai tags unless they are the one we are trying to add # re-add any existing invoke ai tags unless they are the one we are trying to add
for key in existing_img_info: for key in existing_img_info:
if key != tag_name and key in ("dream", "Dream", "sd-metadata", "invokeai", "invokeai_metadata"): if key != tag_name and key in ("dream", "Dream", "sd-metadata", "invokeai", "invokeai_metadata"):
metadata.add_text(key,existing_img_info[key]) metadata.add_text(key, existing_img_info[key])
metadata.add_text(tag_name, tag_value) metadata.add_text(tag_name, tag_value)
target_image.save(file_destination_path, pnginfo=metadata) target_image.save(file_destination_path, pnginfo=metadata)
@ -648,7 +689,7 @@ class MediaImportProcessor:
print("===============================================================================") print("===============================================================================")
print("This script will import images generated by earlier versions of") print("This script will import images generated by earlier versions of")
print("InvokeAI into the currently installed root directory:") print("InvokeAI into the currently installed root directory:")
print(f' {app_config.root_path}') print(f" {app_config.root_path}")
print("If this is not what you want to do, type ctrl-C now to cancel.") print("If this is not what you want to do, type ctrl-C now to cancel.")
# load config # load config
@ -683,16 +724,22 @@ class MediaImportProcessor:
print("- If the same file name already exists in the destination, the file will be skipped.") print("- If the same file name already exists in the destination, the file will be skipped.")
print("- If the same file name already has a record in the database, the file will be skipped.") print("- If the same file name already has a record in the database, the file will be skipped.")
print("- Invoke AI metadata tags will be updated/written into the imported copy only.") print("- Invoke AI metadata tags will be updated/written into the imported copy only.")
print("- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)") print(
print("- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer.") "- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)"
print("- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder.") )
print(
"- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer."
)
print(
"- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder."
)
while True: while True:
should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or 'y' should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or "y"
if should_continue=='n': if should_continue == "n":
print("\r\nCancelling Import") print("\r\nCancelling Import")
return return
elif should_continue=='y': elif should_continue == "y":
print() print()
break break
@ -725,9 +772,10 @@ class MediaImportProcessor:
print(f"Errors during import : {ImportStats.count_file_errors}") print(f"Errors during import : {ImportStats.count_file_errors}")
if ImportStats.count_imported > 0: if ImportStats.count_imported > 0:
print("\r\nBreakdown of imported files by version:") print("\r\nBreakdown of imported files by version:")
for key,version in ImportStats.count_imported_by_version.items(): for key, version in ImportStats.count_imported_by_version.items():
print(f" {key:20} : {version}") print(f" {key:20} : {version}")
def main(): def main():
try: try:
processor = MediaImportProcessor() processor = MediaImportProcessor()
@ -735,5 +783,6 @@ def main():
except KeyboardInterrupt: except KeyboardInterrupt:
print("\r\n\r\nUser cancelled execution.") print("\r\n\r\nUser cancelled execution.")
if __name__ == "__main__": if __name__ == "__main__":
main() main()