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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-12-29 19:05:05 +08:00
parent
5b2c316890
commit
40ca34b837
@ -99,7 +99,7 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro
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seed_resize_from_h=seed_resize_from_h,
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seed_resize_from_w=seed_resize_from_w,
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seed_enable_extras=seed_enable_extras,
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sampler_index=sd_samplers.samplers_for_img2img[sampler_index].name,
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sampler_name=sd_samplers.samplers_for_img2img[sampler_index].name,
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batch_size=batch_size,
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n_iter=n_iter,
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steps=steps,
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@ -74,7 +74,7 @@ class StableDiffusionProcessing():
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"""
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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):
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if sampler_index is not None:
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warnings.warn("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name")
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print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
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self.sd_model = sd_model
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self.outpath_samples: str = outpath_samples
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@ -62,25 +62,25 @@ def apply_order(p, x, xs):
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def build_samplers_dict():
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samplers_dict = {}
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for i, sampler in enumerate(sd_samplers.all_samplers):
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samplers_dict[sampler.name.lower()] = i
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for sampler in sd_samplers.all_samplers:
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samplers_dict[sampler.name.lower()] = sampler.name
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for alias in sampler.aliases:
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samplers_dict[alias.lower()] = i
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samplers_dict[alias.lower()] = sampler.name
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return samplers_dict
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def apply_sampler(p, x, xs):
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sampler_index = build_samplers_dict().get(x.lower(), None)
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if sampler_index is None:
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sampler_name = build_samplers_dict().get(x.lower(), None)
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if sampler_name is None:
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raise RuntimeError(f"Unknown sampler: {x}")
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p.sampler_index = sampler_index
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p.sampler_name = sampler_name
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def confirm_samplers(p, xs):
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samplers_dict = build_samplers_dict()
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for x in xs:
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if x.lower() not in samplers_dict.keys():
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if x.lower() not in samplers_dict:
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raise RuntimeError(f"Unknown sampler: {x}")
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