non-implemented mask with any type

        if init_images is None:

            raise HTTPException(status_code=404, detail="Init image not found") 

        mask = img2imgreq.mask

        if mask:

            raise HTTPException(status_code=400, detail="Mask not supported yet") 

        populate = img2imgreq.copy(update={ # Override __init__ params

            "sd_model": shared.sd_model, 

StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(

    "StableDiffusionProcessingImg2Img", 

    StableDiffusionProcessingImg2Img,

    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}]

    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]

).generate_model()

 No newline at end of file

class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):

    sampler = None

    def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: str=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs):

    def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: Any=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs):

        super().__init__(**kwargs)

        self.init_images = init_images