fix for broken sampler selection in img2img and xy plot #4860 #4909

        seed_resize_from_h=seed_resize_from_h,

        seed_resize_from_w=seed_resize_from_w,

        seed_enable_extras=seed_enable_extras,

        sampler_index=sd_samplers.samplers_for_img2img[sampler_index].name,

        sampler_name=sd_samplers.samplers_for_img2img[sampler_index].name,

        batch_size=batch_size,

        n_iter=n_iter,

        steps=steps,

    """

    def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1, seed_enable_extras: bool = True, sampler_name: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None, sampler_index: int = None):

        if sampler_index is not None:

            warnings.warn("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name")

            print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)

        self.sd_model = sd_model

        self.outpath_samples: str = outpath_samples

def build_samplers_dict():

    samplers_dict = {}

    for i, sampler in enumerate(sd_samplers.all_samplers):

        samplers_dict[sampler.name.lower()] = i

    for sampler in sd_samplers.all_samplers:

        samplers_dict[sampler.name.lower()] = sampler.name

        for alias in sampler.aliases:

            samplers_dict[alias.lower()] = i

            samplers_dict[alias.lower()] = sampler.name

    return samplers_dict

def apply_sampler(p, x, xs):

    sampler_index = build_samplers_dict().get(x.lower(), None)

    if sampler_index is None:

    sampler_name = build_samplers_dict().get(x.lower(), None)

    if sampler_name is None:

        raise RuntimeError(f"Unknown sampler: {x}")

    p.sampler_index = sampler_index

    p.sampler_name = sampler_name

def confirm_samplers(p, xs):

    samplers_dict = build_samplers_dict()

    for x in xs:

        if x.lower() not in samplers_dict.keys():

        if x.lower() not in samplers_dict:

            raise RuntimeError(f"Unknown sampler: {x}")