from pathlib import Path import pytest from invokeai.app.services.config.config_default import InvokeAIAppConfig from invokeai.backend import BaseModelType, ModelManager, ModelType, SubModelType BASIC_MODEL_NAME = ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main) VAE_OVERRIDE_MODEL_NAME = ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main) VAE_NULL_OVERRIDE_MODEL_NAME = ("SDXL with empty VAE", BaseModelType.StableDiffusionXL, ModelType.Main) @pytest.fixture def model_manager(datadir) -> ModelManager: InvokeAIAppConfig.get_config(root=datadir) return ModelManager(datadir / "configs" / "relative_sub.models.yaml") def test_get_model_names(model_manager: ModelManager): names = model_manager.model_names() assert names[:2] == [BASIC_MODEL_NAME, VAE_OVERRIDE_MODEL_NAME] def test_get_model_path_for_diffusers(model_manager: ModelManager, datadir: Path): model_config = model_manager._get_model_config(BASIC_MODEL_NAME[1], BASIC_MODEL_NAME[0], BASIC_MODEL_NAME[2]) top_model_path, is_override = model_manager._get_model_path(model_config) expected_model_path = datadir / "models" / "sdxl" / "main" / "SDXL base 1_0" assert top_model_path == expected_model_path assert not is_override def test_get_model_path_for_overridden_vae(model_manager: ModelManager, datadir: Path): model_config = model_manager._get_model_config( VAE_OVERRIDE_MODEL_NAME[1], VAE_OVERRIDE_MODEL_NAME[0], VAE_OVERRIDE_MODEL_NAME[2] ) vae_model_path, is_override = model_manager._get_model_path(model_config, SubModelType.Vae) expected_vae_path = datadir / "models" / "sdxl" / "vae" / "sdxl-vae-fp16-fix" assert vae_model_path == expected_vae_path assert is_override def test_get_model_path_for_null_overridden_vae(model_manager: ModelManager, datadir: Path): model_config = model_manager._get_model_config( VAE_NULL_OVERRIDE_MODEL_NAME[1], VAE_NULL_OVERRIDE_MODEL_NAME[0], VAE_NULL_OVERRIDE_MODEL_NAME[2] ) vae_model_path, is_override = model_manager._get_model_path(model_config, SubModelType.Vae) assert not is_override