add rife prototype and handle missing default scriptrunners

modules/processing.py

@@ -122,7 +122,6 @@ class StableDiffusionProcessing:
     The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
     """
     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, latent_sampler: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, image_cfg_scale: float = None, clip_skip: int = 1, width: int = 512, height: int = 512, full_quality: bool = True, 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, diffusers_guidance_rescale: float = 0.7, hdr_clamp: bool = False, hdr_boundary: float = 4.0, hdr_threshold: float = 3.5, hdr_center: bool = False, hdr_channel_shift: float = 0.8, hdr_full_shift: float = 0.8, hdr_maximize: bool = False, hdr_max_center: float = 0.6, hdr_max_boundry: float = 1.0, override_settings: Dict[str, Any] = None, override_settings_restore_afterwards: bool = True, sampler_index: int = None, script_args: list = None): # pylint: disable=unused-argument
-
         self.outpath_samples: str = outpath_samples
         self.outpath_grids: str = outpath_grids
         self.prompt: str = prompt
@@ -166,8 +165,8 @@ class StableDiffusionProcessing:
         self.disable_extra_networks = False
         self.token_merging_ratio = 0
         self.token_merging_ratio_hr = 0
-        self.scripts = None
-        self.script_args = script_args or []
+        # self.scripts = modules.scripts.ScriptRunner() # set via property
+        # self.script_args = script_args or [] # set via property
         self.per_script_args = {}
         self.all_prompts = None
         self.all_negative_prompts = None
@@ -1070,6 +1069,8 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
         self.refiner_prompt = refiner_prompt
         self.refiner_negative = refiner_negative
         self.sampler = None
+        self.scripts = None
+        self.script_args = []
 
     def init(self, all_prompts, all_seeds, all_subseeds):
         if shared.backend == shared.Backend.DIFFUSERS:
@@ -1232,6 +1233,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
         self.is_batch = False
         self.scale_by = 1.0
         self.sampler = None
+        self.scripts = None
+        self.script_args = []
 
     def init(self, all_prompts, all_seeds, all_subseeds):
         if shared.backend == shared.Backend.DIFFUSERS and self.image_mask is not None: