repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
InvokeAI | invokeai/backend/model_manager/load/model_cache/utils.py | .py | import itertools
import torch
def get_effective_device(model: torch.nn.Module) -> torch.device:
"""A utility to infer the 'effective' device of a model.
This utility handles the case where a model is partially loaded onto the GPU, so is safer than just calling:
`next(iter(model.parameters())).device`.
... | 21 | 772 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/ram_budget.py | .py | import threading
import weakref
from typing import TYPE_CHECKING, Optional
from invokeai.backend.model_manager.load.model_cache.shared_cpu_weights import SharedCpuWeightsStore
if TYPE_CHECKING:
from invokeai.backend.model_manager.load.model_cache.model_cache import ModelCache
class RamBudget:
"""The single ... | 127 | 6,708 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/shared_cpu_weights.py | .py | import queue
import threading
from dataclasses import dataclass, field
import torch
from invokeai.backend.util.calc_tensor_size import calc_tensor_size
@dataclass
class _SharedWeightsEntry:
"""A single canonical CPU state dict shared across per-device caches."""
state_dict: dict[str, torch.Tensor]
tota... | 251 | 13,546 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/cache_record.py | .py | from dataclasses import dataclass
from invokeai.backend.model_manager.load.model_cache.cached_model.cached_model_only_full_load import (
CachedModelOnlyFullLoad,
)
from invokeai.backend.model_manager.load.model_cache.cached_model.cached_model_with_partial_load import (
CachedModelWithPartialLoad,
)
@dataclas... | 54 | 2,533 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/cache_stats.py | .py | from dataclasses import dataclass, field
from typing import Dict
@dataclass
class CacheStats(object):
"""Collect statistics on cache performance."""
hits: int = 0 # cache hits
misses: int = 0 # cache misses
high_watermark: int = 0 # amount of cache used
in_cache: int = 0 # number of models in... | 16 | 506 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/model_cache.py | .py | import gc
import logging
import queue
import threading
import time
import weakref
from contextlib import contextmanager
from dataclasses import dataclass
from functools import wraps
from logging import Logger
from typing import Any, Callable, Dict, Generator, List, Optional, Protocol
import psutil
import torch
from i... | 1,786 | 97,791 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/cast_to_device.py | .py | from typing import TypeVar
import torch
T = TypeVar("T", torch.Tensor, None, torch.Tensor | None)
def cast_to_device(t: T, to_device: torch.device) -> T:
"""Helper function to cast an optional tensor to a target device."""
if t is None:
return t
if t.device.type != to_device.type:
retur... | 16 | 351 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py | .py | from typing import TypeVar
import torch
from diffusers.models.normalization import RMSNorm as DiffusersRMSNorm
from invokeai.backend.flux.modules.layers import RMSNorm as FluxRMSNorm
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_conv1d import (
CustomConv1d,
)
fr... | 115 | 5,319 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_conv1d.py | .py | import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
from invokeai.backend.model_manager.load.model_cac... | 44 | 1,906 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_invoke_linear_8_bit_lt.py | .py | import bitsandbytes as bnb
import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_linear import (
autocast_linear_forward_sidecar_patches,
)
from in... | 68 | 3,511 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/utils.py | .py | from typing import overload
import torch
@overload
def add_nullable_tensors(a: None, b: None) -> None: ...
@overload
def add_nullable_tensors(a: torch.Tensor, b: torch.Tensor) -> torch.Tensor: ...
@overload
def add_nullable_tensors(a: torch.Tensor, b: None) -> torch.Tensor: ...
@overload
def add_nullable_tenso... | 31 | 626 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_conv2d.py | .py | import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
from invokeai.backend.model_manager.load.model_cac... | 76 | 3,403 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_linear.py | .py | import copy
import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
from invokeai.backend.patches.layers.... | 123 | 5,933 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_flux_rms_norm.py | .py | import torch
from invokeai.backend.flux.modules.layers import RMSNorm
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMi... | 37 | 1,655 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_group_norm.py | .py | import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
class CustomGroupNorm(torch.nn.GroupNorm, Custom... | 23 | 945 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_module_mixin.py | .py | import copy
import torch
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from invokeai.backend.patches.layers.param_shape_utils import get_param_shape
from invokeai.backend.quantization.gguf.ggml_tensor import GGMLTensor
from invokeai.backend.quantization.sdnq.sdnq_tensor import SDNQTensor... | 86 | 4,017 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_layer_norm.py | .py | import torch
import torch.nn.functional as F
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
class CustomLaye... | 26 | 1,146 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_diffusers_rms_norm.py | .py | import torch
from diffusers.models.normalization import RMSNorm as DiffusersRMSNorm
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
... | 41 | 1,812 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_invoke_linear_nf4.py | .py | import copy
import bitsandbytes as bnb
import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_linear import (
autocast_linear_forward_sidecar_patch... | 95 | 5,033 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/torch_module_autocast/custom_modules/custom_embedding.py | .py | import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
class CustomEmbedding(torch.nn.Embedding, Custom... | 30 | 1,038 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/cached_model/cached_model_only_full_load.py | .py | import weakref
from typing import Any
import torch
from invokeai.backend.model_manager.load.model_cache.shared_cpu_weights import SharedCpuWeightsStore
from invokeai.backend.quantization.gguf.ggml_tensor import GGMLTensor
class CachedModelOnlyFullLoad:
"""A wrapper around a PyTorch model to handle full loads an... | 196 | 9,426 |
InvokeAI | invokeai/backend/model_manager/load/model_cache/cached_model/cached_model_with_partial_load.py | .py | import weakref
import torch
from invokeai.backend.model_manager.load.model_cache.shared_cpu_weights import SharedCpuWeightsStore
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import (
CustomModuleMixin,
)
from invokeai.backend.util.calc_tensor_size i... | 447 | 21,549 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/qwen_image.py | .py | from pathlib import Path
from typing import Optional
import accelerate
import torch
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.configs.main import (
... | 557 | 23,726 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/cogview4.py | .py | from pathlib import Path
from typing import Optional
import torch
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.model_loader_registry import ModelL... | 60 | 2,396 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/spandrel_image_to_image.py | .py | from pathlib import Path
from typing import Optional
import torch
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.load_default import ModelLoader
from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
from invokeai.b... | 40 | 1,579 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/text_llm.py | .py | from pathlib import Path
from typing import Optional
import torch
from transformers import AutoModelForCausalLM
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.load_default import ModelLoader
from invokeai.backend.model_manager.load.model_loader_regis... | 33 | 1,336 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/generic_diffusers.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for simple diffusers model loading in InvokeAI."""
import sys
from pathlib import Path
from typing import Any, Optional
from diffusers.configuration_utils import ConfigMixin
from diffusers.models.modeling_utils import ModelMixin
from i... | 105 | 4,881 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/pid_decoder.py | .py | """Loader for PiD (Pixel Diffusion Decoder) checkpoints.
Returns a fully-constructed `PidNet` so the model cache can size it
correctly and apply its standard sequential-offload / partial-load
policies. We instantiate the architecture (per backbone) here and pour the
checkpoint's tensors directly into it, then discard ... | 84 | 4,071 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/z_image.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for Z-Image model loading in InvokeAI."""
from pathlib import Path
from typing import Any, Optional
import accelerate
import torch
from transformers import AutoTokenizer, Qwen3ForCausalLM
from invokeai.backend.model_manager.configs.bas... | 1,626 | 73,741 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/mistral_encoder.py | .py | # Copyright (c) 2026, The InvokeAI Development Team
"""Model loaders for the Mistral text encoder used by FLUX.2 [dev].
FLUX.2 [dev] uses BFL's 30-layer "cow-mistral3-small" distillation as its sole
text encoder. The diffusers release wraps it in the multimodal
``Mistral3ForConditionalGeneration``; standalone single-f... | 1,118 | 52,273 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/anima.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for Anima model loading in InvokeAI."""
from pathlib import Path
from typing import Optional
import accelerate
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base
from invokeai.backend.model_manager.configs.c... | 224 | 9,131 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/flux.py | .py | # Copyright (c) 2024, Brandon W. Rising and the InvokeAI Development Team
"""Class for Flux model loading in InvokeAI."""
from pathlib import Path
from typing import Any, Optional
import accelerate
import torch
from diffusers import AutoencoderKL
from safetensors.torch import load_file
from transformers import (
... | 1,948 | 90,277 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/__init__.py | .py | """
Init file for model_loaders.
"""
| 4 | 37 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for StableDiffusion model loading in InvokeAI."""
from pathlib import Path
from typing import Optional
from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipeline
from diffusers.pipelines.stable_di... | 165 | 7,844 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/lora.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for LoRA model loading in InvokeAI."""
from logging import Logger
from pathlib import Path
from typing import Optional
import torch
from safetensors.torch import load_file
from invokeai.app.services.config import InvokeAIAppConfig
from... | 211 | 12,116 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/krea2.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for Krea-2 model loading in InvokeAI."""
from pathlib import Path
from typing import TYPE_CHECKING, Any, Optional
import accelerate
from transformers import AutoConfig, AutoTokenizer
from invokeai.backend.model_manager.configs.base imp... | 622 | 30,249 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/gemma2_encoder.py | .py | """Loader for the Gemma-2 text encoder used by PiD.
PiD only consumes the decoder block of the causal LM (see
`pid/_src/models/pixeldit_model.py::_load_text_encoder`:
`AutoModelForCausalLM.from_pretrained(...).get_decoder()`), so this loader
returns the decoder sub-module for the `TextEncoder` submodel and the
tokeniz... | 206 | 10,001 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/wan.py | .py | """Loader registrations for Wan 2.2 image-generation models.
Currently covers:
- Main: Diffusers format (T2V-A14B with dual experts via Transformer +
Transformer2 submodels, plus TI2V-5B). Phase 4 will add a GGUFQuantized loader.
- WanT5Encoder: standalone UMT5-XXL encoder folder (``text_encoder/`` +
``tokenizer/`... | 358 | 16,399 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/flux2_state_dict_utils.py | .py | """Pure state-dict conversion helpers for FLUX.2 single-file checkpoints.
These functions translate the BFL (black-forest-labs) key layout used by FLUX.2
single-file transformer and VAE checkpoints into the diffusers layout that the
`Flux2Transformer2DModel` / `AutoencoderKLFlux2` architectures expect.
They are inten... | 327 | 13,981 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/llava_onevision.py | .py | from pathlib import Path
from typing import Optional
from transformers import LlavaOnevisionForConditionalGeneration
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.load_default import ModelLoader
from invokeai.backend.model_manager.load.model_loader_... | 30 | 1,251 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/onnx.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for Onnx model loading in InvokeAI."""
# This should work the same as Stable Diffusion pipelines
from pathlib import Path
from typing import Optional
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokea... | 44 | 1,713 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/vae.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for VAE model loading in InvokeAI."""
from pathlib import Path
from typing import Optional
import accelerate
from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL
from invokeai.backend.model_manager.configs.factory imp... | 333 | 11,631 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/sig_lip.py | .py | from pathlib import Path
from typing import Optional
from transformers import SiglipVisionModel
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.load_default import ModelLoader
from invokeai.backend.model_manager.load.model_loader_registry import Model... | 27 | 1,084 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/ernie_image.py | .py | # Copyright (c) 2026, Lincoln D. Stein and the InvokeAI Development Team
"""Loader for Baidu ERNIE-Image diffusers pipelines."""
from pathlib import Path
from typing import Optional
from invokeai.backend.model_manager.configs.base import Diffusers_Config_Base
from invokeai.backend.model_manager.configs.factory import... | 64 | 2,895 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/clip_vision.py | .py | from pathlib import Path
from typing import Optional
from transformers import CLIPVisionModelWithProjection
from invokeai.backend.model_manager.configs.base import Diffusers_Config_Base
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.load_default impo... | 36 | 1,418 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/ip_adapter.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for IP Adapter model loading in InvokeAI."""
from pathlib import Path
from typing import Optional
import torch
from invokeai.backend.ip_adapter.ip_adapter import build_ip_adapter
from invokeai.backend.model_manager.configs.factory impo... | 35 | 1,394 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/textual_inversion.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for TI model loading in InvokeAI."""
from pathlib import Path
from typing import Optional
from invokeai.backend.model_manager.configs.factory import AnyModelConfig
from invokeai.backend.model_manager.load.load_default import ModelLoader... | 53 | 1,785 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/ideogram4.py | .py | """Model loading for Ideogram 4 in InvokeAI.
The on-disk model is a diffusers pipeline folder bundling:
- transformer/ (Ideogram4Transformer, nf4 or fp8 quantized)
- unconditional_transformer/ (Ideogram4Transformer, nf4 or fp8 quantized)
- text_encoder/ + tokenizer/ (Qwen3-VL, nf4 or fp8)
-... | 231 | 11,146 |
InvokeAI | invokeai/backend/model_manager/load/model_loaders/controlnet.py | .py | # Copyright (c) 2024, Lincoln D. Stein and the InvokeAI Development Team
"""Class for ControlNet model loading in InvokeAI."""
from typing import Optional
from diffusers import ControlNetModel
from invokeai.backend.model_manager.configs.controlnet import ControlNet_Checkpoint_Config_Base
from invokeai.backend.model_... | 56 | 2,116 |
InvokeAI | invokeai/backend/model_manager/metadata/__init__.py | .py | """
Initialization file for invokeai.backend.model_manager.metadata
Usage:
from invokeai.backend.model_manager.metadata import(
AnyModelRepoMetadata,
CommercialUsage,
LicenseRestrictions,
HuggingFaceMetadata,
)
from invokeai.backend.model_manager.metadata.fetch import HuggingFaceMetadataFetch
data = Hug... | 41 | 1,049 |
InvokeAI | invokeai/backend/model_manager/metadata/metadata_base.py | .py | # Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
"""This module defines core text-to-image model metadata fields.
Metadata comprises any descriptive information that is not essential
for getting the model to run. For example "author" is metadata, while
"type", "base" and "format" are not. The l... | 137 | 5,796 |
InvokeAI | invokeai/backend/model_manager/metadata/fetch/__init__.py | .py | """
Initialization file for invokeai.backend.model_manager.metadata.fetch
Usage:
from invokeai.backend.model_manager.metadata.fetch import (
HuggingFaceMetadataFetch,
)
data = HuggingFaceMetadataFetch().from_id("<repo_id>")
assert isinstance(data, HuggingFaceMetadata)
"""
from invokeai.backend.model_manager.meta... | 17 | 533 |
InvokeAI | invokeai/backend/model_manager/metadata/fetch/fetch_base.py | .py | # Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
"""
This module is the base class for subclasses that fetch metadata from model repositories
Usage:
from invokeai.backend.model_manager.metadata.fetch import HuggingFaceMetadataFetch
data = HuggingFaceMetadataFetch().from_id("<REPO_ID>")
assert... | 69 | 2,292 |
InvokeAI | invokeai/backend/model_manager/metadata/fetch/huggingface.py | .py | # Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
"""
This module fetches model metadata objects from the HuggingFace model repository,
using either a `repo_id` or the model page URL.
Usage:
from invokeai.backend.model_manager.metadata.fetch import HuggingFaceMetadataFetch
fetcher = HuggingFac... | 169 | 6,651 |
InvokeAI | invokeai/backend/model_manager/util/select_hf_files.py | .py | # Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
"""
Select the files from a HuggingFace repository needed for a particular model variant.
Usage:
```
from invokeai.backend.model_manager.util.select_hf_files import select_hf_model_files
from invokeai.backend.model_manager.metadata.fetch import Hu... | 219 | 9,367 |
InvokeAI | invokeai/backend/model_manager/util/lora_metadata_extractor.py | .py | """Utility functions for extracting metadata from LoRA model files."""
import json
import logging
from pathlib import Path
from typing import Any, Dict, Optional, Set, Tuple
from PIL import Image
from invokeai.app.util.thumbnails import make_thumbnail
from invokeai.backend.model_manager.configs.factory import AnyMod... | 147 | 4,930 |
InvokeAI | invokeai/backend/model_manager/util/libc_util.py | .py | import ctypes
class Struct_mallinfo2(ctypes.Structure):
"""A ctypes Structure that matches the libc mallinfo2 struct.
Docs:
- https://man7.org/linux/man-pages/man3/mallinfo.3.html
- https://www.gnu.org/software/libc/manual/html_node/Statistics-of-Malloc.html
struct mallinfo2 {
size_t are... | 79 | 3,212 |
InvokeAI | invokeai/backend/model_manager/util/model_util.py | .py | """Utilities for parsing model files, used mostly by legacy_probe.py"""
import json
from pathlib import Path
from typing import Dict, Optional, Union
import picklescan.scanner as pscan
import safetensors
import torch
from invokeai.app.services.config.config_default import get_config
from invokeai.backend.model_manag... | 211 | 8,377 |
InvokeAI | invokeai/backend/model_manager/configs/clip_embed.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
get_config_dict_or_rai... | 93 | 3,042 |
InvokeAI | invokeai/backend/model_manager/configs/external_api.py | .py | from typing import Literal, Self
from pydantic import BaseModel, ConfigDict, Field, model_validator
from invokeai.backend.model_manager.configs.base import Config_Base
from invokeai.backend.model_manager.configs.identification_utils import NotAMatchError
from invokeai.backend.model_manager.model_on_disk import ModelO... | 114 | 4,970 |
InvokeAI | invokeai/backend/model_manager/configs/text_llm.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
common_config_paths,
... | 74 | 3,443 |
InvokeAI | invokeai/backend/model_manager/configs/main.py | .py | import re
from abc import ABC
from pathlib import Path
from typing import Any, Literal, Self
from pydantic import BaseModel, ConfigDict, Field
from invokeai.backend.model_manager.configs.base import (
Checkpoint_Config_Base,
Config_Base,
Diffusers_Config_Base,
SubmodelDefinition,
)
from invokeai.backe... | 2,891 | 128,531 |
InvokeAI | invokeai/backend/model_manager/configs/qwen3_vl_encoder.py | .py | from pathlib import Path
from typing import Any, Literal, Self
from pydantic import Field
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
get_config_dict_or_raise,
raise_fo... | 196 | 9,027 |
InvokeAI | invokeai/backend/model_manager/configs/siglip.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
common_config_paths,
raise_for_class_n... | 46 | 1,370 |
InvokeAI | invokeai/backend/model_manager/configs/pid_decoder.py | .py | """Model configs for PiD (Pixel Diffusion Decoder) checkpoints.
PiD decoders are released by NVIDIA at https://huggingface.co/nvidia/PiD and
ship per supported backbone (FLUX.1, FLUX.2, SD3, SDXL, Qwen-Image). Most
backbones offer two resolution presets (`res2k_sr4x_*` and `res2kto4k_sr4x_*`),
while SDXL and Qwen-Imag... | 414 | 22,366 |
InvokeAI | invokeai/backend/model_manager/configs/identification_utils.py | .py | import json
from functools import cache
from pathlib import Path
from pydantic import BaseModel, ValidationError
from pydantic_core import CoreSchema, SchemaValidator
from typing_extensions import Any
from invokeai.backend.model_manager.model_on_disk import ModelOnDisk
class NotAMatchError(Exception):
"""Except... | 230 | 9,250 |
InvokeAI | invokeai/backend/model_manager/configs/mistral_encoder.py | .py | import json
from typing import Any, Literal, Self
from pydantic import Field
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
raise_for_class_name,
raise_for_override_fields... | 343 | 15,056 |
InvokeAI | invokeai/backend/model_manager/configs/t5_encoder.py | .py | import json
from pathlib import Path
from typing import Any, Literal, Optional, Self
from pydantic import Field
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
raise_for_class_... | 234 | 10,805 |
InvokeAI | invokeai/backend/model_manager/configs/lora.py | .py | import re
from abc import ABC
from pathlib import Path
from typing import (
Any,
Literal,
Self,
)
from pydantic import BaseModel, ConfigDict, Field, model_validator
from invokeai.backend.model_manager.configs.base import (
Config_Base,
)
from invokeai.backend.model_manager.configs.controlnet import Co... | 1,305 | 58,985 |
InvokeAI | invokeai/backend/model_manager/configs/flux2_variant.py | .py | """Canonical FLUX.2 transformer dimensions per variant, and reverse lookups.
Single source of truth for the geometry that distinguishes the FLUX.2 variants, so the
identification code in ``main.py`` (checkpoint + diffusers) and ``lora.py`` cannot drift
apart. Previously the same 7680/12288/15360 (and 2560/4096/5120, 3... | 63 | 2,862 |
InvokeAI | invokeai/backend/model_manager/configs/gemma2_encoder.py | .py | """Model config for the Gemma-2-2b-it text encoder used by PiD.
PiD's pre-trained decoders condition on Gemma-2-2b-it caption embeddings
(2304-dim). This config recognises a stand-alone diffusers/transformers
directory containing a Gemma2 causal LM (config.json + safetensors weights +
tokenizer files).
The reference ... | 146 | 6,865 |
InvokeAI | invokeai/backend/model_manager/configs/t2i_adapter.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.controlnet import ControlAdapterDefaultSettings
from invokeai.backend.model_... | 80 | 2,766 |
InvokeAI | invokeai/backend/model_manager/configs/flux_redux.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.flux.redux.flux_redux_state_dict_utils import is_state_dict_likely_flux_redux
from invokeai.backend.model_manager.configs.base import Config_Base
from invokeai.backend.model_manager.configs... | 41 | 1,333 |
InvokeAI | invokeai/backend/model_manager/configs/factory.py | .py | import json
import logging
from dataclasses import dataclass
from pathlib import Path
from typing import (
Union,
)
from pydantic import Discriminator, TypeAdapter, ValidationError
from typing_extensions import Annotated, Any
from invokeai.app.services.config.config_default import get_config
from invokeai.app.uti... | 774 | 39,443 |
InvokeAI | invokeai/backend/model_manager/configs/qwen_vl_encoder.py | .py | import json
from pathlib import Path
from typing import Any, Iterable, Literal, Self
from pydantic import Field
from safetensors import safe_open
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
No... | 155 | 6,321 |
InvokeAI | invokeai/backend/model_manager/configs/qwen3_encoder.py | .py | import json
from typing import Any, Literal, Optional, Self
from pydantic import Field
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
raise_for_class_name,
raise_for_overr... | 661 | 32,261 |
InvokeAI | invokeai/backend/model_manager/configs/llava_onevision.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
common_config_paths,
raise_for_class_n... | 44 | 1,338 |
InvokeAI | invokeai/backend/model_manager/configs/wan_t5_encoder.py | .py | """Configurations for the UMT5-XXL text encoder used by Wan 2.2.
Wan ships a UMT5-XXL encoder (not the more common T5-XXL). The two are not
weight-compatible — UMT5 has a different vocabulary and ``model_type``. We
register a dedicated config + ModelType so users can't accidentally wire a
FLUX/SD3-style T5-XXL into a ... | 87 | 3,513 |
InvokeAI | invokeai/backend/model_manager/configs/vae.py | .py | import re
from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Checkpoint_Config_Base, Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatc... | 475 | 19,590 |
InvokeAI | invokeai/backend/model_manager/configs/clip_vision.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base, Diffusers_Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
get_class_name_from_co... | 59 | 2,084 |
InvokeAI | invokeai/backend/model_manager/configs/ip_adapter.py | .py | from abc import ABC
from typing import (
Literal,
Self,
)
from pydantic import BaseModel, Field
from typing_extensions import Any
from invokeai.backend.flux.ip_adapter.state_dict_utils import is_state_dict_xlabs_ip_adapter
from invokeai.backend.model_manager.configs.base import Config_Base
from invokeai.backe... | 181 | 6,889 |
InvokeAI | invokeai/backend/model_manager/configs/textual_inversion.py | .py | from abc import ABC
from pathlib import Path
from typing import (
Literal,
Self,
)
import torch
from pydantic import BaseModel, Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
... | 157 | 5,499 |
InvokeAI | invokeai/backend/model_manager/configs/spandrel.py | .py | from typing import (
Literal,
Self,
)
from pydantic import Field
from typing_extensions import Any
from invokeai.backend.model_manager.configs.base import Config_Base
from invokeai.backend.model_manager.configs.identification_utils import (
NotAMatchError,
raise_for_override_fields,
raise_if_not_f... | 55 | 2,281 |
InvokeAI | invokeai/backend/model_manager/configs/base.py | .py | from abc import ABC, abstractmethod
from enum import Enum
from inspect import isabstract
from typing import (
TYPE_CHECKING,
Any,
ClassVar,
Literal,
Self,
Type,
)
from pydantic import BaseModel, ConfigDict, Field, Tag, field_validator
from pydantic_core import PydanticUndefined
from invokeai.a... | 258 | 11,088 |
InvokeAI | invokeai/backend/model_manager/configs/unknown.py | .py | from copy import deepcopy
from typing import Any, Literal, Self
from pydantic import Field
from invokeai.app.services.config.config_default import get_config
from invokeai.backend.model_manager.configs.base import Config_Base
from invokeai.backend.model_manager.model_on_disk import ModelOnDisk
from invokeai.backend.m... | 45 | 1,643 |
InvokeAI | invokeai/backend/model_manager/configs/controlnet.py | .py | from typing import (
Literal,
Self,
)
from pydantic import BaseModel, ConfigDict, Field
from typing_extensions import Any
from invokeai.backend.flux.controlnet.state_dict_utils import (
is_state_dict_instantx_controlnet,
is_state_dict_xlabs_controlnet,
)
from invokeai.backend.model_manager.configs.bas... | 343 | 14,262 |
InvokeAI | invokeai/backend/rectified_flow/rectified_flow_inpaint_extension.py | .py | import torch
def assert_broadcastable(*shapes):
try:
torch.broadcast_shapes(*shapes)
except RuntimeError as e:
raise AssertionError(f"Shapes {shapes} are not broadcastable.") from e
class RectifiedFlowInpaintExtension:
"""A class for managing inpainting with rectified flow models (e.g. F... | 59 | 2,792 |
InvokeAI | invokeai/backend/rectified_flow/er_sde_scheduler.py | .py | """ER-SDE (Extended Reverse-time SDE) ``diffusers`` scheduler.
Implements the multistep Taylor-expansion solver from:
Cui, Q., Zhang, X., Lu, Z., & Liao, Q. (2023).
Elucidating the solution space of extended reverse-time SDE
for diffusion models. arXiv:2309.06169.
https://arxiv.org/abs/2309.06169
Ref... | 602 | 27,190 |
InvokeAI | invokeai/backend/patches/pad_with_zeros.py | .py | import torch
def pad_with_zeros(orig_weight: torch.Tensor, target_shape: torch.Size) -> torch.Tensor:
"""Pad a weight tensor with zeros to match the target shape."""
expanded_weight = torch.zeros(target_shape, dtype=orig_weight.dtype, device=orig_weight.device)
slices = tuple(slice(0, dim) for dim in orig... | 10 | 404 |
InvokeAI | invokeai/backend/patches/layer_patcher.py | .py | import re
from contextlib import AbstractContextManager, ExitStack, contextmanager
from typing import Dict, Iterable, Optional, Tuple
import torch
from invokeai.backend.model_manager.load.model_cache.model_cache import MODEL_LOAD_LOCK
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from in... | 374 | 19,268 |
InvokeAI | invokeai/backend/patches/model_patch_raw.py | .py | # Copyright (c) 2024 The InvokeAI Development team
from typing import Mapping, Optional
import torch
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from invokeai.backend.raw_model import RawModel
class ModelPatchRaw(RawModel):
def __init__(self, layers: Mapping[str, BaseLayerPatch])... | 20 | 651 |
InvokeAI | invokeai/backend/patches/layers/norm_layer.py | .py | from typing import Dict
import torch
from invokeai.backend.patches.layers.lora_layer_base import LoRALayerBase
from invokeai.backend.util.calc_tensor_size import calc_tensor_size
class NormLayer(LoRALayerBase):
def __init__(self, weight: torch.Tensor, bias: torch.Tensor | None):
super().__init__(alpha=N... | 35 | 1,094 |
InvokeAI | invokeai/backend/patches/layers/loha_layer.py | .py | from typing import Dict
import torch
from invokeai.backend.patches.layers.lora_layer_base import LoRALayerBase
from invokeai.backend.util.calc_tensor_size import calc_tensors_size
class LoHALayer(LoRALayerBase):
"""LoHA LyCoris layer.
Example model for testing this layer type: https://civitai.com/models/27... | 99 | 3,279 |
InvokeAI | invokeai/backend/patches/layers/utils.py | .py | from typing import Dict
import torch
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from invokeai.backend.patches.layers.dora_layer import DoRALayer
from invokeai.backend.patches.layers.full_layer import FullLayer
from invokeai.backend.patches.layers.ia3_layer import IA3Layer
from invokea... | 36 | 1,677 |
InvokeAI | invokeai/backend/patches/layers/lora_layer_base.py | .py | from typing import Optional
import torch
import invokeai.backend.util.logging as logger
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from invokeai.backend.patches.layers.param_shape_utils import get_param_shape
from invokeai.backend.util.calc_tensor_size import calc_tensors_size
class... | 92 | 3,839 |
InvokeAI | invokeai/backend/patches/layers/full_layer.py | .py | from typing import Dict, Optional
import torch
from invokeai.backend.patches.layers.lora_layer_base import LoRALayerBase
from invokeai.backend.util.calc_tensor_size import calc_tensor_size
class FullLayer(LoRALayerBase):
def __init__(self, weight: torch.Tensor, bias: Optional[torch.Tensor]):
super().__i... | 35 | 1,143 |
InvokeAI | invokeai/backend/patches/layers/param_shape_utils.py | .py | import torch
try:
from bitsandbytes.nn.modules import Params4bit
bnb_available: bool = True
except ImportError:
bnb_available: bool = False
def get_param_shape(param: torch.Tensor) -> torch.Size:
"""A helper function to get the shape of a parameter that handles `bitsandbytes.nn.Params4Bit` correctly... | 20 | 699 |
InvokeAI | invokeai/backend/patches/layers/merged_layer_patch.py | .py | from dataclasses import dataclass
from typing import Sequence
import torch
from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
from invokeai.backend.patches.layers.param_shape_utils import get_param_shape
@dataclass
class Range:
start: int
end: int
class MergedLayerPatch(BaseLayerP... | 66 | 2,685 |
InvokeAI | invokeai/backend/patches/layers/dora_layer.py | .py | from typing import Dict, Optional
import torch
from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.cast_to_device import cast_to_device
from invokeai.backend.patches.layers.lora_layer_base import LoRALayerBase
from invokeai.backend.util.calc_tensor_size import calc_tensors_size
class DoRALaye... | 116 | 4,237 |
InvokeAI | invokeai/backend/patches/layers/lora_layer.py | .py | from typing import Dict, Optional
import torch
from invokeai.backend.patches.layers.lora_layer_base import LoRALayerBase
from invokeai.backend.util.calc_tensor_size import calc_tensors_size
class LoRALayer(LoRALayerBase):
def __init__(
self,
up: torch.Tensor,
mid: Optional[torch.Tensor],... | 111 | 3,876 |
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