Merge pull request #12298 from catboxanon/xyz-sampler

    p.prompt = prompt_tmp + p.prompt

def apply_sampler(p, x, xs):

    sampler_name = sd_samplers.samplers_map.get(x.lower(), None)

    if sampler_name is None:

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

    p.sampler_name = sampler_name

def confirm_samplers(p, xs):

    for x in xs:

        if x.lower() not in sd_samplers.samplers_map:

    AxisOptionImg2Img("Image CFG Scale", float, apply_field("image_cfg_scale")),

    AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),

    AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),

    AxisOptionTxt2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),

    AxisOptionImg2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]),

    AxisOptionTxt2Img("Sampler", str, apply_field("sampler_name"), format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),

    AxisOptionTxt2Img("Hires sampler", str, apply_field("hr_sampler_name"), confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]),

    AxisOptionImg2Img("Sampler", str, apply_field("sampler_name"), format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]),

    AxisOption("Checkpoint name", str, apply_checkpoint, format_value=format_remove_path, confirm=confirm_checkpoints, cost=1.0, choices=lambda: sorted(sd_models.checkpoints_list, key=str.casefold)),

    AxisOption("Negative Guidance minimum sigma", float, apply_field("s_min_uncond")),

    AxisOption("Sigma Churn", float, apply_field("s_churn")),