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 | tests/app/services/session_queue/test_session_queue_bulk_cancel_events.py | .py | """Tests that bulk cancel/delete operations emit queue_items_canceled.
A bulk cancel (e.g. cancel-all-except-current) updates rows in a single SQL statement and emits no
per-item queue_item_status_changed events. Without a bulk event, other connected clients never
learn that pending items left the queue — an owner's b... | 223 | 9,690 |
InvokeAI | tests/app/services/session_queue/test_session_queue_dequeue.py | .py | """Tests for session queue dequeue() ordering: FIFO and round-robin modes."""
import json
import uuid
from typing import Optional
import pytest
from pydantic_core import to_jsonable_python
from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.app.services.invoker import Invoker
from... | 480 | 21,709 |
InvokeAI | tests/app/services/session_queue/test_session_queue_dequeue_concurrency.py | .py | """Tests that concurrent dequeue() calls (multi-GPU session workers) never claim the same item twice."""
import threading
import uuid
import pytest
from invokeai.app.services.invoker import Invoker
from invokeai.app.services.session_queue.session_queue_sqlite import SqliteSessionQueue
from invokeai.app.services.shar... | 91 | 3,156 |
InvokeAI | tests/app/services/session_queue/test_session_queue_workflow_call_metadata.py | .py | """Tests for workflow-call relationship metadata on session_queue items."""
import uuid
import pytest
from invokeai.app.invocations.call_saved_workflow import CallSavedWorkflowInvocation
from invokeai.app.services.events.events_common import QueueItemsRetriedEvent, QueueItemStatusChangedEvent
from invokeai.app.servi... | 1,365 | 49,144 |
InvokeAI | tests/app/services/session_queue/test_session_queue_status_sequence.py | .py | import uuid
import pytest
from invokeai.app.services.events.events_common import QueueItemStatusChangedEvent
from invokeai.app.services.invoker import Invoker
from invokeai.app.services.session_queue.session_queue_sqlite import SqliteSessionQueue
from invokeai.app.services.shared.graph import Graph, GraphExecutionSta... | 104 | 3,873 |
InvokeAI | tests/app/services/session_queue/test_session_queue_status_event_isolation.py | .py | """Regression tests for the cross-user identifier leak in QueueItemStatusChangedEvent.
When user A's queue item changes status while user B's item is currently in_progress,
the embedded SessionQueueStatus inside the event must NOT expose B's item_id,
session_id, or batch_id. The full event ships to user:{A.user_id} an... | 299 | 13,323 |
InvokeAI | tests/app/services/session_queue/test_session_queue_status_user_scoping.py | .py | """Regression tests for multiuser queue status / list scoping.
The queue badge in multiuser mode shows "X/Y" where X is the requesting user's own
pending+in_progress jobs and Y is the global total across all users. For this to work,
get_queue_status must report GLOBAL aggregate counts and ADDITIONALLY return the reque... | 146 | 6,426 |
InvokeAI | tests/app/services/session_queue/test_session_queue_workflow_call_retry.py | .py | """Tests for workflow-call retry semantics in the session queue."""
from datetime import datetime
import pytest
from invokeai.app.services.events.events_common import QueueItemsRetriedEvent
from invokeai.app.services.invoker import Invoker
from invokeai.app.services.session_queue.session_queue_common import SessionQ... | 134 | 4,888 |
InvokeAI | tests/app/services/session_queue/test_session_queue_multigpu_cancel.py | .py | """Regression tests for multi-GPU bulk cancellation.
With one session-processor worker per device, several queue items can be `in_progress` at the same
time. The bulk-cancel APIs must cancel ALL matching in-progress items (each emitting a cancel event
so its worker stops), not just the single `get_current()` item. See... | 293 | 13,206 |
InvokeAI | tests/app/services/session_queue/test_session_queue_clear.py | .py | """Tests for session queue clear() user_id scoping."""
import uuid
import pytest
from invokeai.app.services.events.events_common import QueueClearedEvent, QueueItemStatusChangedEvent
from invokeai.app.services.invoker import Invoker
from invokeai.app.services.session_queue.session_queue_sqlite import SqliteSessionQu... | 192 | 7,901 |
InvokeAI | tests/app/services/model_records/test_model_records_sql.py | .py | """
Test the refactored model config classes.
"""
from hashlib import sha256
from typing import Any, Optional
import pytest
from pydantic import ValidationError
from invokeai.app.services.config import InvokeAIAppConfig
from invokeai.app.services.model_records import (
DuplicateModelException,
ModelRecordOrd... | 470 | 16,356 |
InvokeAI | tests/app/services/config/test_config_device.py | .py | """Validation tests for the `device` config field.
Note these construct the config rather than assigning to an existing instance: the model does
not enable `validate_assignment`, so `config.device = ...` bypasses the pattern entirely.
"""
import pytest
from pydantic import ValidationError
from invokeai.app.services.... | 28 | 826 |
InvokeAI | tests/app/services/config/test_config_generation_devices.py | .py | """Validation tests for the multi-GPU `generation_devices` config field."""
import pytest
from pydantic import ValidationError
from invokeai.app.services.config.config_default import InvokeAIAppConfig
@pytest.mark.parametrize(
"value",
[
"auto",
["cuda:0"],
["cuda:0", "cuda:1"],
... | 78 | 2,906 |
InvokeAI | tests/app/services/image_moves/test_image_moves_default.py | .py | import os
import threading
from pathlib import Path
from shutil import copy2
from unittest.mock import MagicMock, patch
import pytest
from PIL import Image
from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.app.services.image_files.image_files_disk import DiskImageFileStorage
from... | 784 | 31,453 |
InvokeAI | tests/app/services/gallery/test_gallery_default.py | .py | """Regression tests for SqliteGalleryService multiuser isolation and date-based
virtual boards.
Covers JPPhoto's code-review findings (PR #9163):
1. The gallery /items/ and /items/names endpoints returned every user's items
when ``board_id`` was omitted, because ``_build_half`` only applied a user
filter for th... | 520 | 22,629 |
InvokeAI | tests/app/services/model_load/test_model_load_device_routing.py | .py | """Tests that ModelLoadService routes to the per-device cache for the calling thread (multi-GPU)."""
import threading
from collections.abc import Iterator
import pytest
import torch
from invokeai.app.services.config.config_default import InvokeAIAppConfig, get_config
from invokeai.app.services.model_load.model_load_... | 97 | 3,027 |
InvokeAI | tests/app/services/model_load/test_load_api.py | .py | from pathlib import Path
import pytest
import torch
from diffusers import AutoencoderTiny
from invokeai.app.invocations.model import ModelIdentifierField
from invokeai.app.services.invocation_services import InvocationServices
from invokeai.app.services.model_manager import ModelManagerServiceBase
from invokeai.app.s... | 116 | 4,987 |
InvokeAI | tests/app/services/workflow_records/test_default_workflows_registry.py | .py | """Verify the bundled Wan/video workflows agree with the invocation registry.
The pre-existing default workflows (SD1.5/SDXL/FLUX...) carry stale node versions and
even removed node types — the editor tolerates this with "node needs update" badges, so
they are deliberately NOT checked here. The workflows this PR ships... | 54 | 2,377 |
InvokeAI | tests/app/services/model_install/test_model_install.py | .py | """
Test the model installer
"""
import gc
import platform
import shutil
import threading
import time
import uuid
from pathlib import Path
from types import SimpleNamespace
from typing import Any, Dict
import pytest
from pydantic_core import Url
from invokeai.app.services.config import InvokeAIAppConfig
from invokea... | 1,081 | 41,534 |
InvokeAI | tests/app/services/model_install/test_missing_models.py | .py | """
Tests for missing model detection (_scan_for_missing_models) and bulk deletion.
"""
import gc
from pathlib import Path
import pytest
from invokeai.app.services.config import InvokeAIAppConfig
from invokeai.app.services.model_install import ModelInstallServiceBase
from invokeai.app.services.model_records import U... | 221 | 8,765 |
InvokeAI | tests/app/services/model_install/test_orphan_scan.py | .py | """The startup orphan scan must survive a model file it cannot register.
`_register_orphaned_models` runs inside `ModelInstallService.start()`, which stores and re-raises
anything that escapes it. Identification can now reject a file outright — a checkpoint recognised as
a PiD decoder and found unusable, or anything a... | 58 | 2,591 |
InvokeAI | tests/app/services/video_records/test_video_records_sqlite.py | .py | """Regression tests for SqliteVideoRecordStorage multiuser isolation.
Covers JPPhoto's code-review finding (PR #9163): when ``board_id`` was omitted
from /v1/videos/ and /v1/videos/names, the SQL builder applied no user filter
and a non-admin caller saw every user's videos. The fix added an
``elif user_id is not None ... | 210 | 9,255 |
InvokeAI | tests/app/services/bulk_download/test_bulk_download.py | .py | import os
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Any
from zipfile import ZipFile
import pytest
from invokeai.app.services.board_records.board_records_common import BoardRecord, BoardRecordNotFoundException
from invokeai.app.services.bulk_download.bulk_download_common impor... | 399 | 14,814 |
InvokeAI | tests/app/api/test_sliding_window_token.py | .py | """Tests for SlidingWindowTokenMiddleware and token refresh behavior."""
from datetime import timedelta
from types import SimpleNamespace
import pytest
from fastapi import FastAPI, Request, Response
from fastapi.testclient import TestClient
from invokeai.app.services.auth.token_service import TokenData, create_acces... | 313 | 12,976 |
InvokeAI | tests/app/api/test_video_upload_limits.py | .py | """Tests for VideoUploadLimitASGIMiddleware (PR #9163 review fix).
The upload route's MAX_UPLOAD_SIZE check runs only after FastAPI has parsed (and spooled)
the entire multipart body, so oversized/chunked/concurrent requests could exhaust temp
storage before rejection. The middleware bounds ingress before the parser r... | 553 | 19,771 |
InvokeAI | tests/app/util/test_video_thumbnails.py | .py | """Tests for the subprocess-bounded video decode helpers (PR #9163 review).
The bug: ``probe_video`` / ``extract_video_frame`` decoded untrusted uploads in-process
with no timeout, despite the module itself noting that cv2 has historically hung on some
containers. A crafted MP4 that makes the imageio probe fail and th... | 699 | 29,713 |
InvokeAI | tests/app/util/test_controlnet_utils.py | .py | import numpy as np
import pytest
from PIL import Image
from invokeai.app.util.controlnet_utils import prepare_control_image
from invokeai.backend.image_util.util import nms
@pytest.mark.parametrize("num_channels", [1, 2, 3])
def test_prepare_control_image_num_channels(num_channels):
"""Test that the `num_channel... | 51 | 1,765 |
InvokeAI | tests/app/util/test_dynamicprompts.py | .py | from __future__ import annotations
import pytest
from invokeai.app.util.dynamicprompts import find_missing_wildcards
def test_find_missing_wildcards_detects_unknown_wildcard_in_variant() -> None:
# Regression: `__random__` inside a variant is parsed as a wildcard reference. Left unchecked it
# sends the com... | 32 | 1,462 |
InvokeAI | tests/app/util/test_ssrf.py | .py | """Unit tests for the download-URL SSRF guard."""
import http.server
import ipaddress
import logging
import threading
from typing import Any, Generator
import pytest
import requests
from requests import Request
from requests.models import PreparedRequest
from requests.utils import select_proxy
from invokeai.app.util... | 347 | 13,894 |
InvokeAI | tests/app/util/test_custom_openapi.py | .py | from fastapi import FastAPI
from pydantic import create_model
from invokeai.app.invocations.baseinvocation import InvocationRegistry
from invokeai.app.util.custom_openapi import get_openapi_func
class _FakeOutput:
pass
class _InvocationB:
__name__ = "InvocationB"
@classmethod
def model_json_schema... | 62 | 1,943 |
InvokeAI | tests/app/util/test_step_callback.py | .py | """Tests for diffusion step callback preview image generation."""
import torch
from PIL import Image
from invokeai.app.util.step_callback import (
QWEN_IMAGE_LATENT_RGB_BIAS,
QWEN_IMAGE_LATENT_RGB_FACTORS,
sample_to_lowres_estimated_image,
)
class TestSampleToLowresEstimatedImage:
"""Test the latent... | 120 | 5,082 |
InvokeAI | tests/app/util/test_video_encoding.py | .py | """Regression tests for make_mp4_writer (PR #9163 review).
The bug: the production encoders relied on imageio's default ``macro_block_size=16``,
which makes ffmpeg silently *rescale* frames to the next multiple of 16 — a 1920x1080
upload trimmed by Frame Range from Video came back as 1920x1088 while the DTO recorded
1... | 47 | 1,773 |
InvokeAI | tests/app/util/test_torch_cuda_allocator.py | .py | import pytest
import torch
from tests.dangerously_run_function_in_subprocess import dangerously_run_function_in_subprocess
# These tests are a bit fiddly, because the depend on the import behaviour of torch. They use subprocesses to isolate
# the import behaviour of torch, and then check that the function behaves as ... | 128 | 5,056 |
InvokeAI | tests/app/invocations/test_anima_denoise_er_sde_dispatch.py | .py | """Dispatch wiring and sigma-contract tests for Anima ER-SDE.
Verifies that ANIMA_SCHEDULER_MAP['er_sde'] produces a correctly configured
ERSDEScheduler, that set_timesteps accepts sigmas= (the contract Anima relies
on to pass its pre-shifted schedule), and that the sigma state is set up as
expected after set_timestep... | 56 | 2,397 |
InvokeAI | tests/app/invocations/test_flux2_klein_model_loader.py | .py | """Tests for Flux2KleinModelLoaderInvocation submodel-source resolution.
Focus: a partial SDNQ FLUX.2 pipeline (format=sdnq_quantized whose submodels contains only the
transformer) must NOT be treated as a self-contained source. Otherwise the invocation sets
main_is_diffusers=True, skips the standalone VAE/Qwen3 requi... | 69 | 3,008 |
InvokeAI | tests/app/invocations/test_wan_latents_to_video_encoding.py | .py | from unittest.mock import MagicMock
import numpy as np
import pytest
import torch
from invokeai.app.invocations.wan_latents_to_video import (
WanLatentsToVideoInvocation,
_iter_decoded_frames,
_validate_video_latent_batch,
_write_video_frames,
)
from invokeai.app.services.session_processor.session_pro... | 83 | 2,619 |
InvokeAI | tests/app/invocations/test_ernie_image_model_loader.py | .py | """Tests for the ERNIE-Image prompt-enhancer availability gate.
`use_prompt_enhancer` defaults to true, so whatever this gate reports is the default experience.
`GenericDiffusersLoader.get_hf_load_class` resolves each submodel's class from `model_index.json`
and raises "the ... submodel is not available for this model... | 96 | 4,220 |
InvokeAI | tests/app/invocations/test_video_primitive.py | .py | from unittest.mock import MagicMock, patch
import pytest
from invokeai.app.invocations.fields import VideoField
from invokeai.app.invocations.primitives import VideoInvocation
@pytest.mark.parametrize("decoded_count,expected", [(7, 7), (None, 8)])
def test_video_primitive_prefers_exact_decoder_frame_count(decoded_c... | 20 | 827 |
InvokeAI | tests/app/invocations/test_cogview4_text_encoder.py | .py | from contextlib import contextmanager
from types import SimpleNamespace
from unittest.mock import MagicMock
import torch
from invokeai.app.invocations.cogview4_text_encoder import CogView4TextEncoderInvocation
class FakeGlmModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.regis... | 86 | 3,051 |
InvokeAI | tests/app/invocations/test_anima_text_encoder.py | .py | from contextlib import contextmanager, nullcontext
from types import SimpleNamespace
from unittest.mock import MagicMock
import torch
from invokeai.app.invocations.anima_text_encoder import AnimaTextEncoderInvocation
class FakeQwen3Encoder(torch.nn.Module):
"""Mimics the Qwen3 0.6B encoder.
Its `.device` p... | 108 | 4,165 |
InvokeAI | tests/app/invocations/test_sd3_text_encoder.py | .py | from contextlib import contextmanager, nullcontext
from types import SimpleNamespace
from unittest.mock import MagicMock
import torch
from invokeai.app.invocations.sd3_text_encoder import Sd3TextEncoderInvocation
from invokeai.backend.model_manager.taxonomy import ModelFormat
class FakeSd3ClipTextEncoder(torch.nn.M... | 167 | 6,521 |
InvokeAI | tests/app/invocations/test_krea2_denoise.py | .py | import math
from contextlib import contextmanager, nullcontext
from types import SimpleNamespace
import pytest
import torch
from invokeai.app.invocations.fields import DenoiseMaskField, Krea2ConditioningField, LatentsField, TensorField
from invokeai.app.invocations.krea2_denoise import KREA2_LATENT_CHANNELS, Krea2Den... | 760 | 33,430 |
InvokeAI | tests/app/invocations/test_krea2_text_encoder.py | .py | from contextlib import contextmanager, nullcontext
from types import SimpleNamespace
import pytest
import torch
from invokeai.app.invocations.fields import TensorField
from invokeai.app.invocations.krea2_text_encoder import Krea2TextEncoderInvocation
from invokeai.app.invocations.model import LoRAField, ModelIdentifi... | 348 | 13,341 |
InvokeAI | tests/app/invocations/test_ernie_image_prompt_enhancer.py | .py | """`ernie_image_prompt_enhancer` exists to keep long, per-execution work *off* a borrowed idle GPU.
It was split out of `ernie_image_text_encoder`, which is `idle_gpu_offloadable`: the offload holds
the lent GPU's exclusive-use lock for the whole node, so a session dequeued onto that GPU blocks
until it returns. An en... | 132 | 5,974 |
InvokeAI | tests/app/invocations/test_latent_noise.py | .py | from unittest.mock import MagicMock
import pytest
import torch
@pytest.mark.parametrize(
("noise_type", "width", "height", "expected_shape"),
[
("SD", 64, 64, (1, 4, 8, 8)),
("FLUX", 64, 64, (1, 16, 8, 8)),
("FLUX.2", 64, 64, (1, 32, 8, 8)),
("SD3", 64, 64, (1, 16, 8, 8)),
... | 102 | 3,435 |
InvokeAI | tests/app/invocations/test_anima_denoise.py | .py | from types import SimpleNamespace
import pytest
import torch
from invokeai.app.invocations.anima_denoise import (
ANIMA_LATENT_CHANNELS,
ANIMA_LATENT_SCALE_FACTOR,
ANIMA_SHIFT,
AnimaDenoiseInvocation,
inverse_loglinear_timestep_shift,
loglinear_timestep_shift,
)
from invokeai.backend.anima.ani... | 210 | 8,879 |
InvokeAI | tests/app/invocations/test_krea2_model_loader.py | .py | from types import SimpleNamespace
import pytest
from invokeai.app.invocations.krea2_model_loader import Krea2ModelLoaderInvocation
from invokeai.app.invocations.model import ModelIdentifierField
from invokeai.backend.model_manager.taxonomy import BaseModelType, ModelFormat, ModelType
def _model(key: str, base: Base... | 71 | 3,303 |
InvokeAI | tests/app/invocations/test_wan_working_memory.py | .py | """Wan VAE invocations: working-memory estimation and cpu_only device handling."""
from unittest.mock import MagicMock, patch
import PIL.Image
import torch
from diffusers.models.autoencoders import AutoencoderKLWan
from invokeai.app.invocations.wan_image_to_latents import WanImageToLatentsInvocation
from invokeai.ap... | 320 | 14,114 |
InvokeAI | tests/app/invocations/test_is_optional.py | .py | from typing import Any, Literal, Optional, Union
import pytest
from pydantic import BaseModel
class TestModel(BaseModel):
foo: Literal["bar"] = "bar"
@pytest.mark.parametrize(
"input_type, expected",
[
(str, False),
(list[str], False),
(list[dict[str, Any]], False),
(lis... | 47 | 1,267 |
InvokeAI | tests/app/invocations/test_flux2_klein_output_device.py | .py | """Flux2KleinTextEncoderInvocation is idle_gpu_offloadable: it may run on a borrowed idle GPU
whose device-pool lock is released the moment the node returns. Like the other offloadable
encoders (flux_text_encoder, flux_redux), its saved conditioning must be detached and moved to
the CPU — otherwise the embeddings stay ... | 40 | 1,765 |
InvokeAI | tests/app/invocations/test_z_image_working_memory.py | .py | """Test that Z-Image VAE invocations properly estimate and request working memory."""
from unittest.mock import MagicMock, patch
import pytest
import torch
from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL
from invokeai.app.invocations.z_image_image_to_latents import ZImageImageToLatentsInvocati... | 143 | 6,340 |
InvokeAI | tests/app/invocations/test_flux2_model_loader_source_guards.py | .py | """The FLUX.2 loaders' cross-variant guard must gate the *encoder* extraction path only.
Klein and [dev] share the same 32-channel `AutoencoderKLFlux2` — the repo ships the Klein-sourced
`flux2_vae` as a dependency of every [dev] GGUF starter model — so a cross-variant pipeline is a
legitimate VAE source. In the *Klei... | 306 | 12,075 |
InvokeAI | tests/app/invocations/test_external_image_generation.py | .py | from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
from PIL import Image
from invokeai.app.invocations.external_image_generation import OpenAIImageGenerationInvocation
from invokeai.app.invocations.fields import ImageField
from invokeai.app.invocations.model import ModelIdentifierFiel... | 112 | 3,897 |
InvokeAI | tests/app/invocations/test_text_llm_with_preset.py | .py | """Tests for TextLLMWithPresetInvocation.
The model-loading and pipeline-run code paths are exercised by the existing
TextLLMInvocation node. What is unique to TextLLMWithPresetInvocation is that the system
prompt is fetched from system_prompt_records by id -- and that this lookup must enforce the
same own/public/defa... | 194 | 7,811 |
InvokeAI | tests/app/invocations/test_flux_denoise.py | .py | import pytest
from invokeai.app.invocations.flux_denoise import FluxDenoiseInvocation
TIMESTEPS = [1.0, 0.75, 0.5, 0.25, 0.0]
@pytest.mark.parametrize(
["cfg_scale", "timesteps", "cfg_scale_start_step", "cfg_scale_end_step", "expected"],
[
# Test scalar cfg_scale.
(2.0, TIMESTEPS, 0, -1, [2.... | 63 | 2,432 |
InvokeAI | tests/app/invocations/test_save_image_to_file.py | .py | """Tests for SaveImageToFileInvocation."""
from pathlib import Path
from unittest.mock import MagicMock
import pytest
from PIL import Image
from pydantic import ValidationError
from invokeai.app.invocations.image import SaveImageToFileInvocation
def _make_context(tmp_path: Path, pil_image: Image.Image, gallery_uui... | 198 | 6,299 |
InvokeAI | tests/app/invocations/test_video_frame_extract_range.py | .py | """Regression tests for ExtractVideoRangeInvocation streaming (PR #9163 review).
The bug: the node collected every selected frame into a list before encoding, so the
default ``start_frame=0, end_frame=-1`` materialized the whole source in RAM — and the
upload API admits 1 GB compressed files whose decoded frames can r... | 114 | 5,041 |
InvokeAI | tests/app/invocations/test_denoise_noise_inputs.py | .py | import inspect
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import pytest
import torch
from invokeai.app.invocations.anima_denoise import AnimaDenoiseInvocation
from invokeai.app.invocations.cogview4_denoise import CogView4DenoiseInvocation
from invokeai.app.invocations.flux2_denoise i... | 700 | 28,380 |
InvokeAI | tests/app/invocations/test_z_image_model_loader.py | .py | """Tests for ZImageModelLoaderInvocation submodel-source resolution.
Focus: a freshly installed SDNQ Z-Image pipeline (format=sdnq_quantized with submodels) is
self-contained and must generate without the user manually selecting a VAE / Qwen3 component
source. In that case the loader must fall back to the main model i... | 154 | 7,211 |
InvokeAI | tests/app/invocations/test_image.py | .py | import importlib.util
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import MagicMock
import numpy
import torch
from PIL import Image, ImageFilter
from invokeai.app.invocations.image import ImageField, OklabUnsharpMaskInvocation, OklchImageHueAdjustmentInvocation
from invokeai.app.invoc... | 436 | 15,929 |
InvokeAI | tests/app/invocations/test_idle_offload_encoder_output_devices.py | .py | """The Wan, Krea-2, Ideogram 4 and ERNIE-Image text encoders are idle_gpu_offloadable: each may run
on a borrowed idle GPU whose device-pool lock is released the moment the node returns. Like the
other offloadable encoders (see test_flux2_klein_output_device.py, test_flux_redux_output_device.py),
their saved conditioni... | 153 | 6,690 |
InvokeAI | tests/app/invocations/test_ernie_image_denoise.py | .py | """Tests for `ErnieImageDenoiseInvocation`'s initial-latent handling.
ERNIE denoises on the rectified-flow path, so the loop assumes its input already sits at the first
sigma of the schedule. Both directions of that contract are easy to get silently wrong:
- clean init latents passed through *unnoised* tell the model... | 89 | 3,681 |
InvokeAI | tests/app/invocations/test_wan_denoise.py | .py | """CPU-only integration tests for ``WanDenoiseInvocation``.
These tests substitute a synthetic transformer (no weights) for the real
``WanTransformer3DModel`` so the denoise loop's shape-handling, scheduler
integration, CFG branch, and step-callback wiring can be exercised on a CPU
runner. End-to-end tests against rea... | 1,337 | 51,920 |
InvokeAI | tests/app/invocations/test_qwen_image_text_encoder.py | .py | """Tests for the Qwen Image text encoder prompt building and image resizing."""
from PIL import Image
from invokeai.app.invocations.qwen_image_text_encoder import (
QwenImageTextEncoderInvocation,
_build_prompt,
)
class TestBuildPrompt:
"""Test the _build_prompt function for edit vs generate modes."""
... | 125 | 5,689 |
InvokeAI | tests/app/invocations/test_video_frame_extract.py | .py | """Regression tests for VideoFrameExtractInvocation negative-index resolution.
Covers JPPhoto's code-review finding (PR #9163): the old code computed
``n_frames = round(duration * fps)`` to resolve ``frame_index=-1``. For uploads
with inexact metadata that can overshoot the decoded frame count, requesting
the last fra... | 49 | 1,990 |
InvokeAI | tests/app/invocations/test_pid_memory_optimization_wiring.py | .py | """Every PiD node must forward `pid_memory_optimization` — to the decode *and* to the memory estimate.
Two things go wrong silently here, so both are pinned structurally rather than per-node:
1. A new PiD node that forgets `pid_memory_optimization=` on its `PiDDecodeConfig` decodes unoptimized
while the user belie... | 83 | 3,871 |
InvokeAI | tests/app/invocations/test_wan_ti2v_ideal_dimensions.py | .py | """Unit tests for WanTI2VIdealDimensionsInvocation.
Mirrors ``test_wan_ideal_dimensions.py`` but for the TI2V-5B variant, which
snaps to a multiple of 32 (16x Wan 2.2-VAE × 2x transformer patch) instead of
16. The node is a pure math transform — no context dependencies — so we can
call ``invoke`` with ``None`` directl... | 155 | 6,030 |
InvokeAI | tests/app/invocations/test_flux2_dev_output_device.py | .py | """Flux2DevTextEncoderInvocation is idle_gpu_offloadable: it may run on a borrowed idle GPU
whose device-pool lock is released the moment the node returns. Like the other offloadable
encoders (flux_text_encoder, flux2_klein_text_encoder), its saved conditioning must be detached
and moved to the CPU — otherwise the embe... | 37 | 1,624 |
InvokeAI | tests/app/invocations/test_krea2_enhancers.py | .py | """Tests for the optional Krea-2 conditioning enhancers (rebalance + seed variance).
Both operate on the 4D ``prompt_embeds (B, seq, 12, hidden)`` conditioning between the text encoder and
denoise. The load-bearing logic - the per-layer gain broadcast, the exact-count weight validation, and the
seeded-noise determinis... | 255 | 10,372 |
InvokeAI | tests/app/invocations/test_qwen_image_working_memory.py | .py | """Test that Qwen Image VAE invocations properly estimate and request working memory."""
from contextlib import nullcontext
from unittest.mock import MagicMock, patch
import pytest
import torch
from diffusers.models.autoencoders.autoencoder_kl_qwenimage import AutoencoderKLQwenImage
from invokeai.app.invocations.qwe... | 181 | 8,325 |
InvokeAI | tests/app/invocations/test_wan_lora_loader.py | .py | """Tests for ``WanLoRALoaderInvocation`` target resolution and routing."""
from unittest.mock import MagicMock
import pytest
from invokeai.app.invocations.model import LoRAField, ModelIdentifierField, WanTransformerField
from invokeai.app.invocations.wan_lora_loader import (
WanLoRACollectionLoader,
WanLoRAL... | 463 | 20,099 |
InvokeAI | tests/app/invocations/test_wan_ideal_dimensions.py | .py | """Unit tests for WanI2VIdealDimensionsInvocation.
The node is a pure math transform — no context dependencies — so we can call
``invoke`` with ``None`` directly.
"""
import pytest
from invokeai.app.invocations.wan_ideal_dimensions import (
WAN_TARGET_RESOLUTION_PX,
WanI2VIdealDimensionsInvocation,
)
def _... | 145 | 5,499 |
InvokeAI | tests/app/invocations/test_qwen_image_denoise.py | .py | """Tests for the Qwen Image denoise invocation."""
import pytest
from invokeai.app.invocations.qwen_image_denoise import QwenImageDenoiseInvocation
class TestPrepareCfgScale:
"""Test _prepare_cfg_scale utility method."""
def test_scalar_cfg_scale(self):
inv = QwenImageDenoiseInvocation.model_constr... | 198 | 8,658 |
InvokeAI | tests/app/invocations/test_qwen_image_model_loader.py | .py | """Tests for the Qwen Image model loader invocation."""
from unittest.mock import MagicMock
import pytest
from invokeai.app.invocations.model import ModelIdentifierField
from invokeai.app.invocations.qwen_image_model_loader import QwenImageModelLoaderInvocation
from invokeai.backend.model_manager.taxonomy import Mod... | 114 | 5,150 |
InvokeAI | tests/app/invocations/test_anima_vae.py | .py | """Tests for the Anima VAE invocations: working-memory estimation, the tiled-decode
decision, and the tiled retry on out-of-memory."""
import math
from unittest.mock import MagicMock, patch
import pytest
import torch
from diffusers.models.autoencoders import AutoencoderKLWan
from invokeai.app.invocations.anima_image... | 223 | 10,317 |
InvokeAI | tests/app/invocations/test_video_concat.py | .py | """Regression tests for VideoConcatInvocation._iter_joined_frames.
Covers two JPPhoto code-review findings (PR #9163):
1. ``fade_through_black`` claimed to emit ``transition_frames`` frames per boundary but
used a symmetric ``tf // 2`` split, dropping one frame for odd ``tf``. The fix splits
asymmetrically: ``t... | 231 | 10,408 |
InvokeAI | tests/app/invocations/test_wan_latents_to_image.py | .py | """Tests for ``WanLatentsToImageInvocation`` input validation (JPPhoto review 2026-07-21).
The bug: the node accepted any 5D latent tensor. Multi-frame video latents ran the full
multi-frame VAE decode (under a working-memory estimate that assumed one frame) and then
died in an opaque einops rank error at the final re... | 89 | 3,221 |
InvokeAI | tests/app/invocations/test_flux_redux_output_device.py | .py | """FluxReduxInvocation is idle_gpu_offloadable: it may run on a borrowed idle GPU while its
consumer (FLUX denoise) runs on the session's GPU. Like the other offloadable encoders, its saved
conditioning must be moved to the CPU — otherwise the embeddings stay resident on the borrowed
device and downstream concatenation... | 34 | 1,472 |
InvokeAI | tests/app/invocations/test_wan_expert_swapper.py | .py | """Tests for ``_ExpertSwapper``'s LoRA-context lifecycle.
The swapper is responsible for entering and exiting both the
``model_on_device`` context and the ``LayerPatcher.apply_smart_model_patches``
context in the right order across an expert swap:
enter HIGH: enter device(HIGH) -> enter lora(HIGH)
swap: ... | 655 | 24,396 |
InvokeAI | tests/app/invocations/test_flux_model_loader_self_contained.py | .py | """The FLUX.1 model loader must accept a complete SDNQ pipeline on its own.
`docs/.../sdnq-quantization.mdx` promises "one install pulls everything you need (transformer +
encoders + VAE)", but the node required separate T5, CLIP and VAE identifiers regardless, forcing
users to install duplicates of components the pip... | 120 | 4,673 |
InvokeAI | tests/app/invocations/test_compel.py | .py | from contextlib import contextmanager, nullcontext
from types import SimpleNamespace
from unittest.mock import MagicMock
import torch
from invokeai.app.invocations.compel import SDXLPromptInvocationBase
class FakeClipTextEncoder(torch.nn.Module):
def __init__(self, effective_device: torch.device):
super... | 153 | 5,979 |
InvokeAI | tests/app/invocations/test_krea2_lora_loader.py | .py | from types import SimpleNamespace
import pytest
from invokeai.app.invocations.krea2_lora_loader import Krea2LoRACollectionLoader, Krea2LoRALoaderInvocation
from invokeai.app.invocations.model import LoRAField, ModelIdentifierField, Qwen3VLEncoderField, TransformerField
from invokeai.backend.model_manager.taxonomy imp... | 146 | 5,682 |
InvokeAI | tests/app/invocations/test_call_saved_workflows.py | .py | from types import SimpleNamespace
from unittest.mock import Mock
import pytest
from invokeai.app.services.users.users_common import UserDTO
from invokeai.app.services.workflow_records.workflow_records_common import (
Workflow,
WorkflowCategory,
WorkflowMeta,
WorkflowNotFoundError,
WorkflowRecordDT... | 422 | 14,892 |
InvokeAI | tests/app/invocations/test_flux_vae_decode.py | .py | """Tests for the FLUX VAE decode path's handling of the diffusers ``AutoencoderKL`` config.
``shift_factor`` is optional on ``AutoencoderKL``. The FLUX VAE sets one, but a plain SD-style
config leaves it ``None``, and the decode used to add it to the latents unconditionally.
"""
from contextlib import contextmanager
... | 69 | 2,747 |
InvokeAI | tests/app/invocations/test_wan_model_loader.py | .py | from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
from invokeai.app.invocations.model import ModelIdentifierField
from invokeai.app.invocations.wan_model_loader import WanModelLoaderInvocation
from invokeai.backend.model_manager.taxonomy import BaseModelType, ModelFormat, ModelType, ... | 415 | 15,293 |
InvokeAI | scripts/get_external_contributions.py | .py | import re
from argparse import ArgumentParser, RawTextHelpFormatter
from typing import Any
import requests
from attr import dataclass
from tqdm import tqdm
def get_author(commit: dict[str, Any]) -> str:
"""Gets the author of a commit.
If the author is not present, the committer is used instead and an asteri... | 123 | 4,564 |
InvokeAI | scripts/check_pins.py | .py | """Check that pins.json is consistent with pyproject.toml.
``pins.json`` is not used anywhere in this repo — it is fetched (at the release
tag) by the Invoke Launcher (https://github.com/invoke-ai/launcher), which uses
its ``torchIndexUrl`` entries to pick the torch wheel index for legacy
(pre-6.14.0) installs. Becaus... | 365 | 17,247 |
InvokeAI | scripts/classify-model.py | .py | #!/bin/env python
"""Little command-line utility for probing a model on disk."""
import argparse
from pathlib import Path
from typing import get_args
from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS
from invokeai.backend.model_manager import InvalidModelConfigException, ModelProbe
from invokeai.... | 46 | 1,291 |
InvokeAI | scripts/generate_openapi_schema.py | .py | import json
import os
import sys
def main():
# Change working directory to the repo root
repo_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
os.chdir(repo_root)
# When invoked as a script, sys.path[0] is this script's directory rather than the repo
# root, so ``import invok... | 28 | 951 |
InvokeAI | scripts/extract_sd_keys_and_shapes.py | .py | import argparse
import json
from safetensors.torch import load_file
def extract_sd_keys_and_shapes(safetensors_file: str):
sd = load_file(safetensors_file)
keys_to_shapes = {k: v.shape for k, v in sd.items()}
out_file = "keys_and_shapes.json"
with open(out_file, "w") as f:
json.dump(keys_to... | 31 | 843 |
InvokeAI | scripts/check_aarch64_lock.py | .py | """Assert that `uv.lock` gives linux/aarch64 an installable torch and torchvision.
Nothing else in CI covers aarch64. Three separate mechanisms in `pyproject.toml` conspire to make torch
resolve from PyPI there instead of from the PyTorch WHL indexes (which ship no aarch64 torchvision wheel):
`tool.uv.environments`, t... | 178 | 8,748 |
InvokeAI | scripts/generate_vae_linear_approximation.py | .py | """A script to generate a linear approximation of the VAE decode operation. The resultant matrix can be used to quickly
visualize intermediate states of the denoising process.
"""
import argparse
from pathlib import Path
import einops
import torch
import torchvision.transforms as T
from diffusers import AutoencoderKL... | 185 | 6,380 |
InvokeAI | scripts/remove_orphaned_models.py | .py | #!/usr/bin/env python
"""Script to remove orphaned model files from INVOKEAI_ROOT directory.
Orphaned models are ones that appear in the INVOKEAI_ROOT/models directory,
but which are not referenced in the database `models` table.
"""
import argparse
import datetime
import json
import locale
import os
import shutil
im... | 465 | 17,679 |
InvokeAI | scripts/multigpu_ram_driver.py | .py | #!/usr/bin/env python
"""Driver to exercise the multi-GPU shared-RAM model cache under real, concurrent generations.
It repeatedly enqueues N batches at once (so the multi-GPU session processor runs them in parallel
across devices), polls the queue until each round drains, and samples the InvokeAI server process's
RAM... | 292 | 13,072 |
InvokeAI | scripts/invokeai-web.py | .py | #!/usr/bin/env python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
import logging
import os
from invokeai.app.run_app import run_app
logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage())
def main():
# Change working direc... | 21 | 473 |
InvokeAI | scripts/gallery_maintenance.py | .py | #!/usr/bin/env python3
"""
gallery_maintenance.py
Remove orphan images from the gallery directory.
Remove orphan database entries for images that no longer exist in the gallery directory.
Regenerate missing thumbnail images.
"""
from invokeai.backend.util.gallery_maintenance import main
main()
| 13 | 298 |
InvokeAI | scripts/calibrate_qwen_vae_working_memory.py | .py | """Calibrate the Qwen Image VAE working-memory estimate against measured peak CUDA/HIP memory.
Background
----------
``estimate_vae_working_memory_qwen_image`` models peak working memory as a linear function of
spatial area::
working_memory = h * w * element_size * scaling_constant
This script measures the *actu... | 306 | 12,267 |
InvokeAI | scripts/allocate_vram.py | .py | import argparse
import torch
def display_vram_usage():
"""Displays the total, allocated, and free VRAM on the current CUDA device."""
assert torch.cuda.is_available(), "CUDA is not available"
device = torch.device("cuda")
total_vram = torch.cuda.get_device_properties(device).total_memory
alloca... | 64 | 2,661 |
InvokeAI | scripts/generate_docs_json.py | .py | from __future__ import annotations
import inspect
import json
import os
import re
from pathlib import Path
from typing import Any, Literal, cast, get_args, get_origin, get_type_hints
from pydantic.fields import FieldInfo
from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.app.serv... | 324 | 11,622 |
InvokeAI | scripts/check_classifiers.py | .py | import re
import sys
import urllib.request
from pathlib import Path
# This script checks the classifiers in a pyproject.toml file against the official Trove classifier list.
# If the classifiers are invalid, PyPI will reject the package upload.
# Step 1: Get pyproject.toml path from args
if len(sys.argv) != 2:
pr... | 49 | 1,564 |
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