feat(api): add override_settings_restore_afterwards
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@ -77,7 +77,7 @@ class StableDiffusionProcessing():
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"""
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The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a 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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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, override_settings_restore_afterwards: bool = True, sampler_index: int = None):
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if sampler_index is not None:
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print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
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@ -118,6 +118,7 @@ class StableDiffusionProcessing():
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self.s_tmax = s_tmax or float('inf') # not representable as a standard ui option
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self.s_noise = s_noise or opts.s_noise
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self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}
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self.override_settings_restore_afterwards = override_settings_restore_afterwards
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self.is_using_inpainting_conditioning = False
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if not seed_enable_extras:
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@ -463,12 +464,14 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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res = process_images_inner(p)
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finally: # restore opts to original state
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for k, v in stored_opts.items():
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setattr(opts, k, v)
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if k == 'sd_hypernetwork': shared.reload_hypernetworks()
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if k == 'sd_model_checkpoint': sd_models.reload_model_weights()
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if k == 'sd_vae': sd_vae.reload_vae_weights()
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finally:
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# restore opts to original state
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if p.override_settings_restore_afterwards:
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for k, v in stored_opts.items():
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setattr(opts, k, v)
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if k == 'sd_hypernetwork': shared.reload_hypernetworks()
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if k == 'sd_model_checkpoint': sd_models.reload_model_weights()
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if k == 'sd_vae': sd_vae.reload_vae_weights()
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return res
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