almost all of backend migrated; restoration next

.gitignore

@@ -213,11 +213,6 @@ gfpgan/
 # config file (will be created by installer)
 configs/models.yaml
 
-# weights (will be created by installer)
-# models/ldm/stable-diffusion-v1/*.ckpt
-# models/clipseg
-# models/gfpgan
-
 # ignore initfile
 .invokeai
 

installer/create_installer.sh

@@ -11,10 +11,10 @@ if [[ -v "VIRTUAL_ENV" ]]; then
     exit -1
 fi
 
-VERSION=$(cd ..; python -c "from ldm.invoke import __version__ as version; print(version)")
+VERSION=$(cd ..; python -c "from invokeai.version import __version__ as version; print(version)")
 PATCH=""
 VERSION="v${VERSION}${PATCH}"
-LATEST_TAG="v2.3-latest"
+LATEST_TAG="v3.0-latest"
 
 echo Building installer for version $VERSION
 echo "Be certain that you're in the 'installer' directory before continuing."

invokeai/backend/__init__.py

@@ -3,5 +3,6 @@ Initialization file for invokeai.backend
 '''
 # this is causing circular import issues
 # from .invoke_ai_web_server import InvokeAIWebServer
+from .model_manager import ModelManager
 
 

invokeai/backend/generator/__init__.py

@@ -2,5 +2,4 @@
 Initialization file for the invokeai.generator package
 '''
 from .base import Generator
-from .diffusers_pipeline import PipelineIntermediateState, StableDiffusionGeneratorPipeline
 from .inpaint import infill_methods

invokeai/backend/generator/base.py

@@ -22,8 +22,8 @@ from pytorch_lightning import seed_everything
 from tqdm import trange
 
 import invokeai.assets.web as web_assets
-from ..ldm.models.diffusion.ddpm import DiffusionWrapper
-from ..ldm.util import rand_perlin_2d
+from ..stable_diffusion.diffusion.ddpm import DiffusionWrapper
+from ..util import rand_perlin_2d
 
 downsampling = 8
 CAUTION_IMG = 'caution.png'

invokeai/backend/generator/img2img.py

@@ -6,8 +6,10 @@ import torch
 from diffusers import logging
 
 from .base import Generator
-from .diffusers_pipeline import StableDiffusionGeneratorPipeline, ConditioningData
-from ..ldm.models.diffusion import PostprocessingSettings
+from ..stable_diffusion import (StableDiffusionGeneratorPipeline,
+                                ConditioningData,
+                                PostprocessingSettings
+                                )
 
 class Img2Img(Generator):
     def __init__(self, model, precision):

invokeai/backend/generator/inpaint.py

@@ -11,11 +11,12 @@ import numpy as np
 import torch
 from PIL import Image, ImageFilter, ImageOps, ImageChops
 
-from .diffusers_pipeline import image_resized_to_grid_as_tensor, StableDiffusionGeneratorPipeline, \
-    ConditioningData
+from ..stable_diffusion.diffusers_pipeline import (image_resized_to_grid_as_tensor,
+                                                   StableDiffusionGeneratorPipeline,
+                                                   ConditioningData
+                                                   )
 from .img2img import Img2Img
-from ldm.invoke.patchmatch import PatchMatch
-from ..ldm.util import debug_image
+from ..image_util import PatchMatch, debug_image
 
 
 def infill_methods()->list[str]:

invokeai/backend/generator/txt2img.py

@@ -5,8 +5,10 @@ import PIL.Image
 import torch
 
 from .base import Generator
-from .diffusers_pipeline import StableDiffusionGeneratorPipeline, ConditioningData
-from ..ldm.models import PostprocessingSettings
+from ..stable_diffusion import (PostprocessingSettings,
+                                StableDiffusionGeneratorPipeline,
+                                ConditioningData
+                                )
 
 class Txt2Img(Generator):
     def __init__(self, model, precision):

invokeai/backend/image_util/__init__.py

@@ -0,0 +1,28 @@
+'''
+Initialization file for invokeai.backend.image_util methods.
+'''
+from .patchmatch import PatchMatch
+from .txt2mask import Txt2Mask
+from .util import InitImageResizer, make_grid
+from .pngwriter import (PngWriter,
+                        PromptFormatter,
+                        retrieve_metadata,
+                        write_metadata,
+                        )
+
+def debug_image(
+    debug_image, debug_text, debug_show=True, debug_result=False, debug_status=False
+):
+    if not debug_status:
+        return
+
+    image_copy = debug_image.copy().convert("RGBA")
+    ImageDraw.Draw(image_copy).text((5, 5), debug_text, (255, 0, 0))
+
+    if debug_show:
+        image_copy.show()
+
+    if debug_result:
+        return image_copy
+
+

invokeai/backend/invoke_ai_web_server.py

@@ -23,16 +23,21 @@ from werkzeug.utils import secure_filename
 from invokeai.backend.modules.get_canvas_generation_mode import (
     get_canvas_generation_mode,
 )
-from invokeai.backend.modules.parameters import parameters_to_command
+from .modules.parameters import parameters_to_command
+from .prompting import (get_tokens_for_prompt_object,
+                        get_prompt_structure,
+                        get_tokenizer
+                        )
+from .image_util import PngWriter, retrieve_metadata
+from .generator import infill_methods 
+from .stable_diffusion import PipelineIntermediateState
+
 from ldm.generate import Generate
 from ldm.invoke.args import Args, APP_ID, APP_VERSION, calculate_init_img_hash
-from invokeai.backend.ldm.conditioning import get_tokens_for_prompt_object, get_prompt_structure, get_tokenizer
-from .generator import infill_methods, PipelineIntermediateState
 from ldm.invoke.globals import ( Globals, global_converted_ckpts_dir,
                                  global_models_dir
                                 )
 from ldm.invoke.merge_diffusers import merge_diffusion_models
-from ldm.invoke.pngwriter import PngWriter, retrieve_metadata
 
 # Loading Arguments
 opt = Args()

invokeai/backend/ldm/models/__init__.py

@@ -1,10 +0,0 @@
-'''
-Initialization file for the invokeai.backend.models package
-'''
-from .model_manager import ModelManager, SDLegacyType
-from .diffusion import InvokeAIDiffuserComponent
-from .diffusion.ddim import DDIMSampler
-from .diffusion.ksampler import KSampler
-from .diffusion.plms import PLMSSampler
-from .diffusion.cross_attention_map_saving import AttentionMapSaver
-from .diffusion.shared_invokeai_diffusion import PostprocessingSettings

invokeai/backend/ldm/models/__init__.py~

@@ -1,10 +0,0 @@
-'''
-Initialization file for the invokeai.models package
-'''
-from .model_manager import ModelManager, SDLegacyType
-from .diffusion.shared_invokeai_diffusion import InvokeAIDiffuserComponent
-from .diffusion.ddim import DDIMSampler
-from .diffusion.ksampler import KSampler
-from .diffusion.plms import PLMSSampler
-from .diffusion.cross_attention_map_saving import AttentionMapSaver
-from .diffusion.shared_invokeai_diffusion import PostprocessingSettings

invokeai/backend/model_manager.py

@@ -31,15 +31,14 @@ from omegaconf import OmegaConf
 from omegaconf.dictconfig import DictConfig
 from picklescan.scanner import scan_file_path
 
-from ..devices import CPU_DEVICE
+from .devices import CPU_DEVICE
 from ldm.invoke.globals import Globals, global_cache_dir
-from ..util import (
+from .util import (
     ask_user,
     download_with_resume,
     url_attachment_name,
 )
-from ...generator.diffusers_pipeline import StableDiffusionGeneratorPipeline
-
+from .stable_diffusion import StableDiffusionGeneratorPipeline
 
 class SDLegacyType(Enum):
     V1 = 1

invokeai/backend/prompting/__init__.py

@@ -0,0 +1,7 @@
+'''
+Initialization file for invokeai.backend.prompting
+'''
+from .conditioning import (get_uc_and_c_and_ec,
+                           split_weighted_subprompts,
+                           get_tokens_for_prompt_object,
+                           get_prompt_structure, get_tokenizer)

invokeai/backend/prompting/conditioning.py

@@ -13,8 +13,8 @@ from transformers import CLIPTokenizer, CLIPTextModel
 
 from compel import Compel
 from compel.prompt_parser import FlattenedPrompt, Blend, Fragment, CrossAttentionControlSubstitute, PromptParser
-from .devices import torch_dtype
-from .models import InvokeAIDiffuserComponent
+from ..devices import torch_dtype
+from ..stable_diffusion import InvokeAIDiffuserComponent
 from ldm.invoke.globals import Globals
 
 def get_tokenizer(model) -> CLIPTokenizer:

invokeai/backend/stable_diffusion/__init__.py

@@ -0,0 +1,16 @@
+'''
+Initialization file for the invokeai.backend.stable_diffusion package
+'''
+from .diffusion import InvokeAIDiffuserComponent
+from .diffusion.ddim import DDIMSampler
+from .diffusion.ksampler import KSampler
+from .diffusion.plms import PLMSSampler
+from .diffusion.cross_attention_map_saving import AttentionMapSaver
+from .diffusion.shared_invokeai_diffusion import PostprocessingSettings
+from .textual_inversion_manager import TextualInversionManager
+from .concepts_lib import HuggingFaceConceptsLibrary
+from .diffusers_pipeline import (StableDiffusionGeneratorPipeline,
+                                 ConditioningData,
+                                 PipelineIntermediateState,
+                                 StableDiffusionGeneratorPipeline
+                                 )

invokeai/backend/stable_diffusion/attention.py

@@ -7,7 +7,7 @@ import torch.nn.functional as F
 from torch import nn, einsum
 from einops import rearrange, repeat
 
-from ..models.diffusion import InvokeAICrossAttentionMixin
+from .diffusion import InvokeAICrossAttentionMixin
 from .diffusionmodules.util import checkpoint
 
 def exists(val):

invokeai/backend/stable_diffusion/autoencoder.py

@@ -5,8 +5,8 @@ from contextlib import contextmanager
 
 from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
 
-from ..modules.diffusionmodules.model import Encoder, Decoder
-from ..modules.distributions.distributions import (
+from .diffusionmodules.model import Encoder, Decoder
+from .distributions.distributions import (
     DiagonalGaussianDistribution,
 )
 

invokeai/backend/stable_diffusion/diffusers_pipeline.py

@@ -27,11 +27,10 @@ from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 from typing_extensions import ParamSpec
 
 from ldm.invoke.globals import Globals
-from ..ldm.models.diffusion import InvokeAIDiffuserComponent, PostprocessingSettings
-from ..ldm.modules.textual_inversion_manager import TextualInversionManager
-from ..ldm.devices import normalize_device, CPU_DEVICE
-from ..ldm.offloading import LazilyLoadedModelGroup, FullyLoadedModelGroup, ModelGroup
-from ..ldm.models.diffusion import AttentionMapSaver
+from ..stable_diffusion.diffusion import InvokeAIDiffuserComponent, PostprocessingSettings, AttentionMapSaver
+from ..stable_diffusion.textual_inversion_manager import TextualInversionManager
+from ..stable_diffusion.offloading import LazilyLoadedModelGroup, FullyLoadedModelGroup, ModelGroup
+from ..devices import normalize_device, CPU_DEVICE
 from compel import EmbeddingsProvider
 
 @dataclass

invokeai/backend/stable_diffusion/diffusion/ddim.py

@@ -3,7 +3,7 @@
 import torch
 from .shared_invokeai_diffusion import InvokeAIDiffuserComponent
 from .sampler import Sampler
-from ...modules.diffusionmodules.util import  noise_like
+from ..diffusionmodules.util import  noise_like
 
 class DDIMSampler(Sampler):
     def __init__(self, model, schedule='linear', device=None, **kwargs):

invokeai/backend/stable_diffusion/diffusion/ddpm.py

@@ -22,7 +22,7 @@ from pytorch_lightning.utilities.distributed import rank_zero_only
 from omegaconf import ListConfig
 import urllib
 
-from ...modules.textual_inversion_manager import TextualInversionManager
+from ..textual_inversion_manager import TextualInversionManager
 from ...util import (
     log_txt_as_img,
     exists,
@@ -33,8 +33,8 @@ from ...util import (
     count_params,
     instantiate_from_config,
 )
-from ...modules.ema import LitEma
-from ...modules.distributions.distributions import (
+from ..ema import LitEma
+from ..distributions.distributions import (
     normal_kl,
     DiagonalGaussianDistribution,
 )
@@ -43,7 +43,7 @@ from ..autoencoder import (
     IdentityFirstStage,
     AutoencoderKL,
 )
-from ...modules.diffusionmodules.util import (
+from ..diffusionmodules.util import (
     make_beta_schedule,
     extract_into_tensor,
     noise_like,

invokeai/backend/stable_diffusion/diffusion/plms.py

@@ -7,7 +7,7 @@ from functools import partial
 from ...devices import choose_torch_device
 from .shared_invokeai_diffusion import InvokeAIDiffuserComponent
 from .sampler import Sampler
-from ...modules.diffusionmodules.util import noise_like
+from ..diffusionmodules.util import noise_like
 
 
 class PLMSSampler(Sampler):

invokeai/backend/stable_diffusion/diffusion/sampler.py

@@ -10,7 +10,7 @@ from functools import partial
 from ...devices import choose_torch_device
 from .shared_invokeai_diffusion import InvokeAIDiffuserComponent
 
-from ...modules.diffusionmodules.util import (
+from ..diffusionmodules.util import (
     make_ddim_sampling_parameters,
     make_ddim_timesteps,
     noise_like,

invokeai/backend/stable_diffusion/textual_inversion_manager.py

@@ -9,7 +9,7 @@ from picklescan.scanner import scan_file_path
 from transformers import CLIPTextModel, CLIPTokenizer
 
 from compel.embeddings_provider import BaseTextualInversionManager
-from ..concepts_lib import HuggingFaceConceptsLibrary
+from .concepts_lib import HuggingFaceConceptsLibrary
 
 
 @dataclass

invokeai/backend/util.py

@@ -17,7 +17,6 @@ from tqdm import tqdm
 
 from .devices import torch_dtype
 
-
 def log_txt_as_img(wh, xc, size=10):
     # wh a tuple of (width, height)
     # xc a list of captions to plot
@@ -280,22 +279,6 @@ def ask_user(question: str, answers: list):
     return valid_response
 
 
-def debug_image(
-    debug_image, debug_text, debug_show=True, debug_result=False, debug_status=False
-):
-    if not debug_status:
-        return
-
-    image_copy = debug_image.copy().convert("RGBA")
-    ImageDraw.Draw(image_copy).text((5, 5), debug_text, (255, 0, 0))
-
-    if debug_show:
-        image_copy.show()
-
-    if debug_result:
-        return image_copy
-
-
 # -------------------------------------
 def download_with_resume(url: str, dest: Path, access_token: str = None) -> Path:
     '''

invokeai/version/__init__.py

@@ -1,8 +1,15 @@
-from ._version import __version__
-
+'''
+initialization file for invokeai
+'''
+import invokeai
+from .invokeai_version import __version__
 __app_id__= 'invoke-ai/InvokeAI'
 __app_name__= 'InvokeAI'
 
+# copy these attributes into the invokeai namespace
+setattr(invokeai,'__version__',__version__)
+setattr(invokeai,'__app_id__',__app_id__)
+setattr(invokeai,'__app_name__',__app_name__)
 
 def _ignore_xformers_triton_message_on_windows():
     import logging

ldm/generate.py

@@ -25,19 +25,17 @@ from omegaconf import OmegaConf
 from PIL import Image, ImageOps
 from pytorch_lightning import logging, seed_everything
 
-import invokeai.backend.ldm.conditioning
-
-from invokeai.backend.ldm.models import (ModelManager,DDIMSampler, KSampler, PLMSSampler)
+from invokeai.backend import ModelManager
+from invokeai.backend.prompting import get_uc_and_c_and_ec
+from invokeai.backend.stable_diffusion import (DDIMSampler, KSampler, PLMSSampler)
 from invokeai.backend.generator import infill_methods
-from ldm.invoke.args import metadata_from_png
-from invokeai.backend.ldm.concepts_lib import HuggingFaceConceptsLibrary
-from invokeai.backend.ldm.conditioning import get_uc_and_c_and_ec
-from invokeai.backend.ldm.devices import choose_precision, choose_torch_device
+from invokeai.backend.stable_diffusion.concepts_lib import HuggingFaceConceptsLibrary
+from invokeai.backend.devices import choose_precision, choose_torch_device
+from invokeai.backend.image_util import InitImageResizer, PngWriter, Txt2Mask
+
 from ldm.invoke.globals import Globals, global_cache_dir
-from ldm.invoke.image_util import InitImageResizer
-from ldm.invoke.pngwriter import PngWriter
+from ldm.invoke.args import metadata_from_png
 from ldm.invoke.seamless import configure_model_padding
-from ldm.invoke.txt2mask import Txt2Mask
 
 def fix_func(orig):
     if hasattr(torch.backends, "mps") and torch.backends.mps.is_available():

ldm/invoke/CLI.py

@@ -16,19 +16,18 @@ if sys.platform == "darwin":
 
 import pyparsing  # type: ignore
 
-import ldm.invoke
+import invokeai.version
 
 from ..generate import Generate
 from .args import (Args, dream_cmd_from_png, metadata_dumps,
                              metadata_from_png)
-from invokeai.backend.generator import PipelineIntermediateState
+from invokeai.backend.stable_diffusion import PipelineIntermediateState
+from invokeai.backend.image_util import make_grid, PngWriter, retrieve_metadata, write_metadata
+from invokeai.backend import ModelManager
 from .globals import Globals
-from .image_util import make_grid
 from .log import write_log
-from invokeai.backend.ldm.models import ModelManager
-from .pngwriter import PngWriter, retrieve_metadata, write_metadata
 from .readline import Completer, get_completer
-from invokeai.backend.ldm.util import url_attachment_name
+from invokeai.backend.util import url_attachment_name
 
 # global used in multiple functions (fix)
 infile = None
@@ -75,7 +74,7 @@ def main():
                 opt, FileNotFoundError(f"The file {config_file} could not be found.")
             )
 
-    print(f">> {ldm.invoke.__app_name__}, version {ldm.invoke.__version__}")
+    print(f">> {invokeai.__app_name__}, version {invokeai.__version__}")
     print(f'>> InvokeAI runtime directory is "{Globals.root}"')
 
     # loading here to avoid long delays on startup

ldm/invoke/app/services/image_storage.py

@@ -8,7 +8,7 @@ from pathlib import Path
 from queue import Queue
 from typing import Dict
 from PIL.Image import Image
-from ...pngwriter import PngWriter
+from invokeai.backend.image_util import PngWriter
 
 
 class ImageType(str, Enum):

ldm/invoke/args.py

@@ -95,15 +95,15 @@ from argparse import Namespace
 from pathlib import Path
 from typing import List
 
-import ldm.invoke
-import ldm.invoke.pngwriter
-from invokeai.backend.ldm.conditioning import split_weighted_subprompts
+from invokeai.backend.image_util import retrieve_metadata
+import invokeai.version
 
 from ldm.invoke.globals import Globals
+from invokeai.backend.prompting import split_weighted_subprompts
 
-APP_ID = ldm.invoke.__app_id__
-APP_NAME = ldm.invoke.__app_name__
-APP_VERSION = ldm.invoke.__version__
+APP_ID = invokeai.version.__app_id__
+APP_NAME = invokeai.version.__app_name__
+APP_VERSION = invokeai.version.__version__
 
 SAMPLER_CHOICES = [
     'ddim',
@@ -182,7 +182,7 @@ class Args(object):
             # and intercept --version request
             switches = self._arg_parser.parse_args(sysargs)
             if switches.version:
-                print(f'{ldm.invoke.__app_name__} {ldm.invoke.__version__}')
+                print(f'{APP_NAME} {APP_VERSION}')
                 sys.exit(0)
 
             print('* Initializing, be patient...')
@@ -1170,8 +1170,8 @@ def metadata_dumps(opt,
         'model'       : 'stable diffusion',
         'model_id'    : opt.model,
         'model_hash'  : model_hash,
-        'app_id'      : ldm.invoke.__app_id__,
-        'app_version' : ldm.invoke.__version__,
+        'app_id'      : APP_ID,
+        'app_version' : APP_VERSION,
     }
 
     # # add some RFC266 fields that are generated internally, and not as
@@ -1242,7 +1242,7 @@ def args_from_png(png_file_path) -> list[Args]:
     data.
     '''
     try:
-        meta = ldm.invoke.pngwriter.retrieve_metadata(png_file_path)
+        meta = retrieve_metadata(png_file_path)
     except AttributeError:
         return [legacy_metadata_load({},png_file_path)]
 

ldm/invoke/config/model_install.py

@@ -22,7 +22,7 @@ from npyscreen import widget
 from omegaconf import OmegaConf
 from shutil import get_terminal_size
 
-from invokeai.backend.ldm.devices import choose_precision, choose_torch_device
+from invokeai.backend.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,

ldm/invoke/config/model_install_backend.py

@@ -18,9 +18,9 @@ from tqdm import tqdm
 from typing import List
 
 import invokeai.configs as configs
-from invokeai.backend.generator import StableDiffusionGeneratorPipeline
+from invokeai.backend.stable_diffusion import StableDiffusionGeneratorPipeline
 from ..globals import Globals, global_cache_dir, global_config_dir
-from invokeai.backend.ldm.models import ModelManager
+from invokeai.backend import ModelManager
 
 warnings.filterwarnings("ignore")
 

ldm/invoke/merge_diffusers.py

@@ -23,7 +23,7 @@ from omegaconf import OmegaConf
 from ldm.invoke.config.widgets import FloatTitleSlider
 from ldm.invoke.globals import (Globals, global_cache_dir, global_config_file,
                                 global_models_dir, global_set_root)
-from invokeai.backend.ldm.models import ModelManager
+from invokeai.backend import ModelManager
 
 DEST_MERGED_MODEL_DIR = "merged_models"
 

ldm/invoke/readline.py

@@ -12,8 +12,8 @@ import os
 import re
 import atexit
 from ldm.invoke.args import Args
-from invokeai.backend.ldm.concepts_lib import HuggingFaceConceptsLibrary
 from ldm.invoke.globals import Globals
+from invokeai.backend.stable_diffusion import HuggingFaceConceptsLibrary
 
 # ---------------readline utilities---------------------
 try:

pyproject.toml

@@ -125,15 +125,15 @@ dependencies = [
 "Discord" = "https://discord.gg/ZmtBAhwWhy"
 
 [tool.setuptools.dynamic]
-version = { attr = "ldm.invoke.__version__" }
+version = { attr = "invokeai.version.__version__" }
 
 [tool.setuptools.packages.find]
 "where" = ["."]
 "include" = [
-    "invokeai.assets.web*", 
+    "invokeai.assets.web*","invokeai.version*", 
     "invokeai.generator*","invokeai.backend*",
     "invokeai.frontend.dist*", "invokeai.configs*",
-    "ldm*"
+    "ldm*",
 ]
 
 [tool.setuptools.package-data]

tests/test_textual_inversion.py

@@ -4,7 +4,7 @@ from typing import Union
 
 import torch
 
-from ldm.modules.textual_inversion_manager import TextualInversionManager
+from invokeai.backend.stable_diffusion import TextualInversionManager
 
 
 KNOWN_WORDS = ['a', 'b', 'c']