import logging from typing import Callable from modules import sd_samplers_cfgpp, sd_samplers_common, sd_samplers_kdiffusion class AlterSampler(sd_samplers_kdiffusion.KDiffusionSampler): def __init__(self, sd_model, sampler_name, scheduler_name=None): self.sampler_name = sampler_name self.scheduler_name = scheduler_name self.unet = sd_model.forge_objects.unet sampler_function: Callable = getattr(sd_samplers_cfgpp, f"sample_{self.sampler_name}", None) if sampler_function is None: raise ValueError(f"Unknown sampler: {sampler_name}") super().__init__(sampler_function, sd_model, None) def sample(self, p, *args, **kwargs): if p.cfg_scale > 2.0: logging.warning("CFG between 1.0 ~ 2.0 is recommended when using CFG++ samplers") return super().sample(p, *args, **kwargs) def sample_img2img(self, p, *args, **kwargs): if p.cfg_scale > 2.0: logging.warning("CFG between 1.0 ~ 2.0 is recommended when using CFG++ samplers") return super().sample_img2img(p, *args, **kwargs) def build_constructor(sampler_key: str) -> Callable: def constructor(model): return AlterSampler(model, sampler_key) return constructor def create_cfg_pp_sampler(sampler_name: str, sampler_key: str) -> "sd_samplers_common.SamplerData": config = {} base_name = sampler_name.removesuffix(" CFG++") for name, _, _, params in sd_samplers_kdiffusion.samplers_k_diffusion: if name == base_name: config = params.copy() break return sd_samplers_common.SamplerData(sampler_name, build_constructor(sampler_key=sampler_key), [sampler_key], config) samplers_data_alter = [ create_cfg_pp_sampler("DPM++ 2M CFG++", "dpmpp_2m_cfg_pp"), create_cfg_pp_sampler("DPM++ SDE CFG++", "dpmpp_sde_cfg_pp"), create_cfg_pp_sampler("DPM++ 2M SDE CFG++", "dpmpp_2m_sde_cfg_pp"), create_cfg_pp_sampler("DPM++ 3M SDE CFG++", "dpmpp_3m_sde_cfg_pp"), create_cfg_pp_sampler("Euler a CFG++", "euler_ancestral_cfg_pp"), create_cfg_pp_sampler("Euler CFG++", "euler_cfg_pp"), ]