from .imagenhub_models import load_imagenhub_model from .playground_api import load_playground_model from .fal_api_models import load_fal_model from .videogenhub_models import load_videogenhub_model IMAGE_GENERATION_MODELS = ['imagenhub_LCM_generation','imagenhub_SDXLTurbo_generation','imagenhub_SDXL_generation', 'imagenhub_PixArtAlpha_generation', 'imagenhub_OpenJourney_generation','imagenhub_SDXLLightning_generation', 'imagenhub_StableCascade_generation', 'playground_PlayGroundV2_generation', 'playground_PlayGroundV2.5_generation'] IMAGE_EDITION_MODELS = ['imagenhub_CycleDiffusion_edition', 'imagenhub_Pix2PixZero_edition', 'imagenhub_Prompt2prompt_edition', 'imagenhub_SDEdit_edition', 'imagenhub_InstructPix2Pix_edition', 'imagenhub_MagicBrush_edition', 'imagenhub_PNP_edition'] VIDEO_GENERATION_MODELS = ['fal_AnimateDiff_text2video', 'fal_AnimateDiffTurbo_text2video', 'videogenhub_LaVie_generation', 'videogenhub_VideoCrafter2_generation', 'videogenhub_ModelScope_generation'] def load_pipeline(model_name): """ Load a model pipeline based on the model name Args: model_name (str): The name of the model to load, should be of the form {source}_{name}_{type} the source can be either imagenhub or playground the name is the name of the model used to load the model the type is the type of the model, either generation or edition """ model_source, model_name, model_type = model_name.split("_") if model_source == "imagenhub": pipe = load_imagenhub_model(model_name, model_type) elif model_source == "playground": pipe = load_playground_model(model_name) elif model_source == "fal": pipe = load_fal_model(model_name, model_type) elif model_source == "videogenhub": pipe = load_videogenhub_model(model_name) else: raise ValueError(f"Model source {model_source} not supported") return pipe