update using original defaults
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f8e219bad9
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@ -180,8 +180,8 @@ class Api:
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populate = txt2imgreq.copy(update={ # Override __init__ params
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populate = txt2imgreq.copy(update={ # Override __init__ params
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"sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
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"sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
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"do_not_save_samples": True if not 'do_not_save_samples' in vars(txt2imgreq) else txt2imgreq.do_not_save_samples,
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"do_not_save_samples": txt2imgreq.do_not_save,
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"do_not_save_grid": True if not 'do_not_save_grid' in vars(txt2imgreq) else txt2imgreq.do_not_save_grid,
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"do_not_save_grid": txt2imgreq.do_not_save,
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}
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}
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)
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)
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if populate.sampler_name:
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if populate.sampler_name:
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@ -190,8 +190,9 @@ class Api:
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args = vars(populate)
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args = vars(populate)
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args.pop('script_name', None)
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args.pop('script_name', None)
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send_images = True if not 'do_not_send_images' in args else not args['do_not_send_images']
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send_images = True if not 'do_not_send' in args else not args['do_not_send']
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args.pop('do_not_send_images', None)
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args.pop('do_not_send', None)
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args.pop('do_not_save', None)
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with self.queue_lock:
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with self.queue_lock:
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p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)
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p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)
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@ -223,8 +224,8 @@ class Api:
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populate = img2imgreq.copy(update={ # Override __init__ params
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populate = img2imgreq.copy(update={ # Override __init__ params
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"sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
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"sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
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"do_not_save_samples": True if not 'do_not_save_samples' in img2imgreq else img2imgreq.do_not_save_samples,
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"do_not_save_samples": img2imgreq.do_not_save,
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"do_not_save_grid": True if not 'do_not_save_grid' in img2imgreq else img2imgreq.do_not_save_grid,
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"do_not_save_grid": img2imgreq.do_not_save,
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"mask": mask
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"mask": mask
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}
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}
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)
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)
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@ -235,6 +236,10 @@ class Api:
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args.pop('include_init_images', None) # this is meant to be done by "exclude": True in model, but it's for a reason that I cannot determine.
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args.pop('include_init_images', None) # this is meant to be done by "exclude": True in model, but it's for a reason that I cannot determine.
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args.pop('script_name', None)
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args.pop('script_name', None)
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send_images = True if not 'do_not_send' in args else not args['do_not_send']
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args.pop('do_not_send', None)
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args.pop('do_not_save', None)
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send_images = True if not 'do_not_send_images' in args else not args['do_not_send_images']
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send_images = True if not 'do_not_send_images' in args else not args['do_not_send_images']
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args.pop('do_not_send_images', None)
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args.pop('do_not_send_images', None)
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@ -104,7 +104,8 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
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{"key": "sampler_index", "type": str, "default": "Euler"},
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{"key": "sampler_index", "type": str, "default": "Euler"},
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{"key": "script_name", "type": str, "default": None},
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{"key": "script_name", "type": str, "default": None},
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{"key": "script_args", "type": list, "default": []},
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{"key": "script_args", "type": list, "default": []},
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{"key": "do_not_send_images", "type": bool, "default": False}
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{"key": "do_not_send", "type": bool, "default": False},
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{"key": "do_not_save", "type": bool, "default": True}
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]
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]
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).generate_model()
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).generate_model()
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@ -119,7 +120,8 @@ StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
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{"key": "include_init_images", "type": bool, "default": False, "exclude" : True},
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{"key": "include_init_images", "type": bool, "default": False, "exclude" : True},
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{"key": "script_name", "type": str, "default": None},
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{"key": "script_name", "type": str, "default": None},
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{"key": "script_args", "type": list, "default": []},
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{"key": "script_args", "type": list, "default": []},
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{"key": "do_not_send_images", "type": bool, "default": False}
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{"key": "do_not_send", "type": bool, "default": False},
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{"key": "do_not_save", "type": bool, "default": True}
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]
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]
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).generate_model()
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).generate_model()
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