import transformers
import diffusers


def load_meissonic(checkpoint_info, diffusers_load_config={}):
    from modules import shared, devices, modelloader, sd_models, shared_items
    from modules.meissonic.transformer import Transformer2DModel as TransformerMeissonic
    from modules.meissonic.scheduler import Scheduler as MeissonicScheduler
    from modules.meissonic.pipeline import Pipeline as PipelineMeissonic
    from modules.meissonic.pipeline_img2img import Img2ImgPipeline as PipelineMeissonicImg2Img
    from modules.meissonic.pipeline_inpaint import InpaintPipeline as PipelineMeissonicInpaint
    shared_items.pipelines['Meissonic'] = PipelineMeissonic

    modelloader.hf_login()
    fn = sd_models.path_to_repo(checkpoint_info.path)
    cache_dir = shared.opts.diffusers_dir

    diffusers_load_config['variant'] = 'fp16'
    diffusers_load_config['trust_remote_code'] = True

    model = TransformerMeissonic.from_pretrained(
        fn,
        subfolder="transformer",
        cache_dir=cache_dir,
        **diffusers_load_config,
    )
    vqvae = diffusers.VQModel.from_pretrained(
        fn,
        subfolder="vqvae",
        cache_dir=cache_dir,
        **diffusers_load_config,
    )
    text_encoder = transformers.CLIPTextModelWithProjection.from_pretrained(
        fn,
        subfolder="text_encoder",
        cache_dir=cache_dir,
    )
    tokenizer = transformers.CLIPTokenizer.from_pretrained(
        fn,
        subfolder="tokenizer",
        cache_dir=cache_dir,
    )
    scheduler = MeissonicScheduler.from_pretrained(fn, subfolder="scheduler", cache_dir=cache_dir)
    pipe = PipelineMeissonic(
            vqvae=vqvae.to(devices.dtype),
            text_encoder=text_encoder.to(devices.dtype),
            transformer=model.to(devices.dtype),
            tokenizer=tokenizer,
            scheduler=scheduler,
    )

    diffusers.pipelines.auto_pipeline.AUTO_TEXT2IMAGE_PIPELINES_MAPPING["meissonic"] = PipelineMeissonic
    diffusers.pipelines.auto_pipeline.AUTO_IMAGE2IMAGE_PIPELINES_MAPPING["meissonic"] = PipelineMeissonicImg2Img
    diffusers.pipelines.auto_pipeline.AUTO_INPAINT_PIPELINES_MAPPING["meissonic"] = PipelineMeissonicInpaint
    devices.torch_gc(force=True)
    return pipe