use return json format instead of return locals() in args.py
hithereai
parent
b853305a71
commit
3e2e55559f
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@ -12,225 +12,233 @@ from .deforum_controlnet import controlnet_component_names
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from .general_utils import get_os, substitute_placeholders
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from .general_utils import get_os, substitute_placeholders
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def RootArgs():
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def RootArgs():
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device = sh.device
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return {
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models_path = ph.models_path + '/Deforum'
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"device": sh.device,
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half_precision = not cmd_opts.no_half
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"models_path": ph.models_path + '/Deforum',
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mask_preset_names = ['everywhere', 'video_mask']
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"half_precision": not cmd_opts.no_half,
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frames_cache = []
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"mask_preset_names": ['everywhere', 'video_mask'],
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raw_batch_name = None
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"frames_cache": [],
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raw_seed = None
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"raw_batch_name": None,
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initial_info = None
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"raw_seed": None,
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first_frame = None
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"initial_info": None,
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animation_prompts = None
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"first_frame": None,
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current_user_os = get_os()
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"animation_prompts": None,
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tmp_deforum_run_duplicated_folder = os.path.join(tempfile.gettempdir(), 'tmp_run_deforum')
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"current_user_os": get_os(),
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return locals()
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"tmp_deforum_run_duplicated_folder": os.path.join(tempfile.gettempdir(), 'tmp_run_deforum')
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}
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def CoreArgs(): # TODO: change or do something with this ugliness
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def CoreArgs(): # TODO: change or do something with this ugliness
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subseed = -1
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return {
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subseed_strength = 0
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"subseed": -1,
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timestring = ""
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"subseed_strength": 0,
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init_sample = None
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"timestring": "",
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noise_mask = None
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"init_sample": None,
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seed_internal = 0
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"noise_mask": None,
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return locals()
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"seed_internal": 0
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}
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def DeforumAnimArgs():
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def DeforumAnimArgs():
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animation_mode = '2D' # ['None', '2D', '3D', 'Video Input', 'Interpolation']
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return {
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max_frames = 120
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"animation_mode": '2D', # ['None', '2D', '3D', 'Video Input', 'Interpolation']
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border = 'replicate' # ['wrap', 'replicate']
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"max_frames": 120,
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angle = "0:(0)"
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"border": 'replicate', # ['wrap', 'replicate']
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zoom = "0:(1.0025+0.002*sin(1.25*3.14*t/30))"
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"angle": "0:(0)",
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translation_x = "0:(0)"
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"zoom": "0:(1.0025+0.002*sin(1.25*3.14*t/30))",
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translation_y = "0:(0)"
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"translation_x": "0:(0)",
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translation_z = "0:(1.75)"
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"translation_y": "0:(0)",
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transform_center_x = "0:(0.5)"
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"translation_z": "0:(1.75)",
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transform_center_y = "0:(0.5)"
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"transform_center_x": "0:(0.5)",
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rotation_3d_x = "0:(0)"
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"transform_center_y": "0:(0.5)",
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rotation_3d_y = "0:(0)"
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"rotation_3d_x": "0:(0)",
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rotation_3d_z = "0:(0)"
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"rotation_3d_y": "0:(0)",
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enable_perspective_flip = False
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"rotation_3d_z": "0:(0)",
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perspective_flip_theta = "0:(0)"
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"enable_perspective_flip": False,
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perspective_flip_phi = "0:(0)"
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"perspective_flip_theta": "0:(0)",
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perspective_flip_gamma = "0:(0)"
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"perspective_flip_phi": "0:(0)",
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perspective_flip_fv = "0:(53)"
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"perspective_flip_gamma": "0:(0)",
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noise_schedule = "0: (0.065)"
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"perspective_flip_fv": "0:(53)",
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strength_schedule = "0: (0.65)"
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"noise_schedule": "0: (0.065)",
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contrast_schedule = "0: (1.0)"
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"strength_schedule": "0: (0.65)",
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cfg_scale_schedule = "0: (7)"
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"contrast_schedule": "0: (1.0)",
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enable_steps_scheduling = False
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"cfg_scale_schedule": "0: (7)",
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steps_schedule = "0: (25)"
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"enable_steps_scheduling": False,
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fov_schedule = "0: (70)"
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"steps_schedule": "0: (25)",
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aspect_ratio_schedule = "0: (1)"
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"fov_schedule": "0: (70)",
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aspect_ratio_use_old_formula = False
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"aspect_ratio_schedule": "0: (1)",
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near_schedule = "0: (200)"
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"aspect_ratio_use_old_formula": False,
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far_schedule = "0: (10000)"
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"near_schedule": "0: (200)",
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seed_schedule = '0:(s), 1:(-1), "max_f-2":(-1), "max_f-1":(s)'
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"far_schedule": "0: (10000)",
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pix2pix_img_cfg_scale_schedule = "0:(1.5)"
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"seed_schedule": '0:(s), 1:(-1), "max_f-2":(-1), "max_f-1":(s)',
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enable_subseed_scheduling = False
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"pix2pix_img_cfg_scale_schedule": "0:(1.5)",
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subseed_schedule = "0:(1)"
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"enable_subseed_scheduling": False,
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subseed_strength_schedule = "0:(0)"
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"subseed_schedule": "0:(1)",
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enable_sampler_scheduling = False # Sampler Scheduling
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"subseed_strength_schedule": "0:(0)",
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sampler_schedule = '0: ("Euler a")'
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"enable_sampler_scheduling": False, # Sampler Scheduling
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use_noise_mask = False # Composable mask scheduling
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"sampler_schedule": '0: ("Euler a")',
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mask_schedule = '0: ("{video_mask}")'
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"use_noise_mask": False, # Composable mask scheduling
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noise_mask_schedule = '0: ("{video_mask}")'
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"mask_schedule": '0: ("{video_mask}")',
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enable_checkpoint_scheduling = False # Checkpoint Scheduling
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"noise_mask_schedule": '0: ("{video_mask}")',
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checkpoint_schedule = '0: ("model1.ckpt"), 100: ("model2.safetensors")'
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"enable_checkpoint_scheduling": False, # Checkpoint Scheduling
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enable_clipskip_scheduling = False # CLIP skip Scheduling
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"checkpoint_schedule": '0: ("model1.ckpt"), 100: ("model2.safetensors")',
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clipskip_schedule = '0: (2)'
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"enable_clipskip_scheduling": False, # CLIP skip Scheduling
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enable_noise_multiplier_scheduling = True # Noise Multiplier Scheduling
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"clipskip_schedule": '0: (2)',
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noise_multiplier_schedule = '0: (1.05)'
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"enable_noise_multiplier_scheduling": True, # Noise Multiplier Scheduling
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# resume params
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"noise_multiplier_schedule": '0: (1.05)',
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resume_from_timestring = False
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# resume params
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resume_timestring = "20230129210106"
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"resume_from_timestring": False,
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# DDIM AND Ancestral ETA scheds
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"resume_timestring": "20230129210106",
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enable_ddim_eta_scheduling = False
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# DDIM AND Ancestral ETA scheds
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ddim_eta_schedule = "0:(0)"
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"enable_ddim_eta_scheduling": False,
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enable_ancestral_eta_scheduling = False
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"ddim_eta_schedule": "0:(0)",
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ancestral_eta_schedule = "0:(1)"
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"enable_ancestral_eta_scheduling": False,
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# Anti-blur
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"ancestral_eta_schedule": "0:(1)",
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amount_schedule = "0: (0.1)"
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# Anti-blur
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kernel_schedule = "0: (5)"
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"amount_schedule": "0: (0.1)",
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sigma_schedule = "0: (1.0)"
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"kernel_schedule": "0: (5)",
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threshold_schedule = "0: (0.0)"
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"sigma_schedule": "0: (1.0)",
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# Coherence
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"threshold_schedule": "0: (0.0)",
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color_coherence = 'LAB' # ['None', 'HSV', 'LAB', 'RGB', 'Video Input', 'Image']
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# Coherence
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color_coherence_image_path = ""
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"color_coherence": 'LAB', # ['None', 'HSV', 'LAB', 'RGB', 'Video Input', 'Image']
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color_coherence_video_every_N_frames = 1
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"color_coherence_image_path": "",
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color_force_grayscale = False
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"color_coherence_video_every_N_frames": 1,
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legacy_colormatch = False
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"color_force_grayscale": False,
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diffusion_cadence = '2' # ['1','2','3','4','5','6','7','8']
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"legacy_colormatch": False,
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optical_flow_cadence = 'None' # ['None', 'RAFT','DIS Medium', 'DIS Fine', 'Farneback']
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"diffusion_cadence": '2', # ['1','2','3','4','5','6','7','8']
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cadence_flow_factor_schedule = "0: (1)"
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"optical_flow_cadence": 'None', # ['None', 'RAFT','DIS Medium', 'DIS Fine', 'Farneback']
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optical_flow_redo_generation = 'None' # ['None', 'RAFT', 'DIS Medium', 'DIS Fine', 'Farneback']
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"cadence_flow_factor_schedule": "0: (1)",
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redo_flow_factor_schedule = "0: (1)"
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"optical_flow_redo_generation": 'None', # ['None', 'RAFT', 'DIS Medium', 'DIS Fine', 'Farneback']
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diffusion_redo = '0'
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"redo_flow_factor_schedule": "0: (1)",
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# **Noise settings:**
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"diffusion_redo": '0',
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noise_type = 'perlin' # ['uniform', 'perlin']
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# **Noise settings:**
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# Perlin params
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"noise_type": 'perlin', # ['uniform', 'perlin']
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perlin_w = 8
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# Perlin params
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perlin_h = 8
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"perlin_w": 8,
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perlin_octaves = 4
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"perlin_h": 8,
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perlin_persistence = 0.5
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"perlin_octaves": 4,
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# **3D Depth Warping:**
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"perlin_persistence": 0.5,
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use_depth_warping = True
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# **3D Depth Warping:**
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depth_algorithm = 'Midas-3-Hybrid' # ['Midas+AdaBins (old)','Zoe+AdaBins (old)', 'Midas-3-Hybrid','Midas-3.1-BeitLarge', 'AdaBins', 'Zoe', 'Leres'] Midas-3.1-BeitLarge is temporarily removed 04-05-23 until fixed
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"use_depth_warping": True,
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midas_weight = 0.2 # midas/ zoe weight - only relevant in old/ legacy depth_algorithm modes. see above ^
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"depth_algorithm": 'Midas-3-Hybrid',
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padding_mode = 'border' # ['border', 'reflection', 'zeros']
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# ['Midas+AdaBins (old)','Zoe+AdaBins (old)', 'Midas-3-Hybrid','Midas-3.1-BeitLarge', 'AdaBins', 'Zoe', 'Leres'] Midas-3.1-BeitLarge is temporarily removed 04-05-23 until fixed
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sampling_mode = 'bicubic' # ['bicubic', 'bilinear', 'nearest']
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"midas_weight": 0.2, # midas/ zoe weight - only relevant in old/ legacy depth_algorithm modes. see above ^
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save_depth_maps = False
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"padding_mode": 'border', # ['border', 'reflection', 'zeros']
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# **Video Input:**
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"sampling_mode": 'bicubic', # ['bicubic', 'bilinear', 'nearest']
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video_init_path = 'https://deforum.github.io/a1/V1.mp4'
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"save_depth_maps": False,
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extract_nth_frame = 1
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# **Video Input:**
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extract_from_frame = 0
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"video_init_path": 'https://deforum.github.io/a1/V1.mp4',
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extract_to_frame = -1 # minus 1 for unlimited frames
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"extract_nth_frame": 1,
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overwrite_extracted_frames = True
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"extract_from_frame": 0,
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use_mask_video = False
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"extract_to_frame": -1, # minus 1 for unlimited frames
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video_mask_path = 'https://deforum.github.io/a1/VM1.mp4'
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"overwrite_extracted_frames": True,
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# **Hybrid Video for 2D/3D Animation Mode:**
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"use_mask_video": False,
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hybrid_comp_alpha_schedule = "0:(0.5)"
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"video_mask_path": 'https://deforum.github.io/a1/VM1.mp4',
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hybrid_comp_mask_blend_alpha_schedule = "0:(0.5)"
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# **Hybrid Video for 2D/3D Animation Mode:**
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hybrid_comp_mask_contrast_schedule = "0:(1)"
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"hybrid_comp_alpha_schedule": "0:(0.5)",
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hybrid_comp_mask_auto_contrast_cutoff_high_schedule = "0:(100)"
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"hybrid_comp_mask_blend_alpha_schedule": "0:(0.5)",
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hybrid_comp_mask_auto_contrast_cutoff_low_schedule = "0:(0)"
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"hybrid_comp_mask_contrast_schedule": "0:(1)",
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hybrid_flow_factor_schedule = "0:(1)"
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"hybrid_comp_mask_auto_contrast_cutoff_high_schedule": "0:(100)",
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hybrid_generate_inputframes = False
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"hybrid_comp_mask_auto_contrast_cutoff_low_schedule": "0:(0)",
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hybrid_generate_human_masks = "None" # ['None','PNGs','Video', 'Both']
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"hybrid_flow_factor_schedule": "0:(1)",
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hybrid_use_first_frame_as_init_image = True
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"hybrid_generate_inputframes": False,
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hybrid_motion = "None" # ['None','Optical Flow','Perspective','Affine']
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"hybrid_generate_human_masks": "None", # ['None','PNGs','Video', 'Both']
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hybrid_motion_use_prev_img = False
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"hybrid_use_first_frame_as_init_image": True,
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hybrid_flow_consistency = False
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"hybrid_motion": "None", # ['None','Optical Flow','Perspective','Affine']
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hybrid_consistency_blur = 2
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"hybrid_motion_use_prev_img": False,
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hybrid_flow_method = "RAFT" # ['RAFT', 'DIS Medium', 'DIS Fine', 'Farneback']
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"hybrid_flow_consistency": False,
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hybrid_composite = 'None' # ['None', 'Normal', 'Before Motion', 'After Generation']
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"hybrid_consistency_blur": 2,
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hybrid_use_init_image = False
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"hybrid_flow_method": "RAFT", # ['RAFT', 'DIS Medium', 'DIS Fine', 'Farneback']
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hybrid_comp_mask_type = "None" # ['None', 'Depth', 'Video Depth', 'Blend', 'Difference']
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"hybrid_composite": 'None', # ['None', 'Normal', 'Before Motion', 'After Generation']
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hybrid_comp_mask_inverse = False
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"hybrid_use_init_image": False,
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hybrid_comp_mask_equalize = "None" # ['None','Before','After','Both']
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"hybrid_comp_mask_type": "None", # ['None', 'Depth', 'Video Depth', 'Blend', 'Difference']
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hybrid_comp_mask_auto_contrast = False
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"hybrid_comp_mask_inverse": False,
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hybrid_comp_save_extra_frames = False
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"hybrid_comp_mask_equalize": "None", # ['None','Before','After','Both']
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return locals()
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"hybrid_comp_mask_auto_contrast": False,
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"hybrid_comp_save_extra_frames": False
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}
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def DeforumArgs():
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def DeforumArgs():
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# set default image size and make sure to resize to multiples of 64 if needed
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return {
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W, H = map(lambda x: x - x % 64, (512, 512))
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"W": 512, # width
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# whether to show gradio's info section for all params in the ui. it's a realtime toggle
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"H": 512, # height
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show_info_on_ui = True
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# whether to show gradio's info section for all params in the ui. it's a realtime toggle
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# **Webui stuff**
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"show_info_on_ui": True,
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tiling = False
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# **Webui stuff**
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restore_faces = False
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"tiling": False,
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seed_enable_extras = False
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"restore_faces": False,
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seed_resize_from_w = 0
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"seed_enable_extras": False,
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seed_resize_from_h = 0
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"seed_resize_from_w": 0,
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# **Sampling Settings**
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"seed_resize_from_h": 0,
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seed = -1 #
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# **Sampling Settings**
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sampler = 'euler_ancestral' # ["klms","dpm2","dpm2_ancestral","heun","euler","euler_ancestral","plms", "ddim"]
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"seed": -1,
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steps = 25 #
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"sampler": 'euler_ancestral',
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# **Batch Settings**
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"steps": 25,
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batch_name = "Deforum_{timestring}"
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# **Batch Settings**
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seed_behavior = "iter" # ["iter","fixed","random","ladder","alternate","schedule"]
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"batch_name": "Deforum_{timestring}",
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seed_iter_N = 1
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"seed_behavior": "iter",
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# **Init Settings**
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"seed_iter_N": 1,
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use_init = False
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# **Init Settings**
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strength = 0.8
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"use_init": False,
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strength_0_no_init = True # Set the strength to 0 automatically when no init image is used
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"strength": 0.8,
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init_image = "https://deforum.github.io/a1/I1.png"
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"strength_0_no_init": True,
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# Whiter areas of the mask are areas that change more
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"init_image": "https://deforum.github.io/a1/I1.png",
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use_mask = False
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# Whiter areas of the mask are areas that change more
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use_alpha_as_mask = False # use the alpha channel of the init image as the mask
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"use_mask": False,
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mask_file = "https://deforum.github.io/a1/M1.jpg"
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"use_alpha_as_mask": False,
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invert_mask = False
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"mask_file": "https://deforum.github.io/a1/M1.jpg",
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# Adjust mask image, 1.0 is no adjustment. Should be positive numbers.
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"invert_mask": False,
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mask_contrast_adjust = 1.0
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# Adjust mask image, 1.0 is no adjustment. Should be positive numbers.
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mask_brightness_adjust = 1.0
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"mask_contrast_adjust": 1.0,
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# Overlay the masked image at the end of the generation so it does not get degraded by encoding and decoding
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"mask_brightness_adjust": 1.0,
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overlay_mask = True
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# Overlay the masked image at the end of the generation so it does not get degraded by encoding and decoding
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# Blur edges of final overlay mask, if used. Minimum = 0 (no blur)
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"overlay_mask": True,
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mask_overlay_blur = 4
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# Blur edges of final overlay mask, if used. Minimum = 0 (no blur)
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fill = 1 # MASKARGSEXPANSION Todo : Rename and convert to same formatting as used in img2img masked content
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"mask_overlay_blur": 4,
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full_res_mask = True
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"fill": 1,
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full_res_mask_padding = 4
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"full_res_mask": True,
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reroll_blank_frames = 'reroll' # reroll, interrupt, or ignore
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"full_res_mask_padding": 4,
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reroll_patience = 10
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"reroll_blank_frames": 'reroll',
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return locals()
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"reroll_patience": 10
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}
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def LoopArgs():
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def LoopArgs():
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use_looper = False
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return {
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init_images = get_guided_imgs_default_json()
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"use_looper": False,
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image_strength_schedule = "0:(0.75)"
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"init_images": get_guided_imgs_default_json(),
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blendFactorMax = "0:(0.35)"
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"image_strength_schedule": "0:(0.75)",
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blendFactorSlope = "0:(0.25)"
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"blendFactorMax": "0:(0.35)",
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tweening_frames_schedule = "0:(20)"
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"blendFactorSlope": "0:(0.25)",
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color_correction_factor = "0:(0.075)"
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"tweening_frames_schedule": "0:(20)",
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return locals()
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"color_correction_factor": "0:(0.075)"
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}
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def ParseqArgs():
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def ParseqArgs():
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parseq_manifest = None
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return {
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parseq_use_deltas = True
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"parseq_manifest": None,
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return locals()
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"parseq_use_deltas": True
|
||||||
|
}
|
||||||
|
|
||||||
def DeforumOutputArgs():
|
def DeforumOutputArgs():
|
||||||
skip_video_creation = False
|
return {
|
||||||
fps = 15
|
"skip_video_creation": False,
|
||||||
make_gif = False
|
"fps": 15,
|
||||||
delete_imgs = False # True will delete all imgs after a successful mp4 creation
|
"make_gif": False,
|
||||||
image_path = "C:/SD/20230124234916_%09d.png"
|
"delete_imgs": False, # True will delete all imgs after a successful mp4 creation
|
||||||
add_soundtrack = 'None' # ["File","Init Video"]
|
"image_path": "C:/SD/20230124234916_%09d.png",
|
||||||
soundtrack_path = "https://deforum.github.io/a1/A1.mp3"
|
"add_soundtrack": 'None', # ["File","Init Video"]
|
||||||
# End-Run upscaling
|
"soundtrack_path": "https://deforum.github.io/a1/A1.mp3",
|
||||||
r_upscale_video = False
|
# End-Run upscaling
|
||||||
r_upscale_factor = 'x2' # ['2x', 'x3', 'x4']
|
"r_upscale_video": False,
|
||||||
r_upscale_model = 'realesr-animevideov3' # 'realesr-animevideov3' (default of realesrgan engine, does 2-4x), the rest do only 4x: 'realesrgan-x4plus', 'realesrgan-x4plus-anime'
|
"r_upscale_factor": 'x2', # ['2x', 'x3', 'x4'],
|
||||||
r_upscale_keep_imgs = True
|
"r_upscale_model": 'realesr-animevideov3', # 'realesr-animevideov3' (default of realesrgan engine, does 2-4x), the rest do only 4x:'realesrgan-x4plus', 'realesrgan-x4plus-anime'
|
||||||
store_frames_in_ram = False
|
"r_upscale_keep_imgs": True,
|
||||||
# **Interpolate Video Settings**
|
"store_frames_in_ram": False,
|
||||||
frame_interpolation_engine = "None" # ["None", "RIFE v4.6", "FILM"]
|
# **Interpolate Video Settings**
|
||||||
frame_interpolation_x_amount = 2 # [2 to 1000 depends on the engine]
|
"frame_interpolation_engine": "None", # ["None", "RIFE v4.6", "FILM"]
|
||||||
frame_interpolation_slow_mo_enabled = False
|
"frame_interpolation_x_amount": 2, # [2 to 1000 depends on the engine]
|
||||||
frame_interpolation_slow_mo_amount = 2 # [2 to 10]
|
"frame_interpolation_slow_mo_enabled": False,
|
||||||
frame_interpolation_keep_imgs = False
|
"frame_interpolation_slow_mo_amount": 2, # [2 to 10]
|
||||||
return locals()
|
"frame_interpolation_keep_imgs": False
|
||||||
|
}
|
||||||
|
|
||||||
def get_component_names():
|
def get_component_names():
|
||||||
return ['override_settings_with_file', 'custom_settings_file', *DeforumAnimArgs().keys(), 'animation_prompts', 'animation_prompts_positive', 'animation_prompts_negative',
|
return ['override_settings_with_file', 'custom_settings_file', *DeforumAnimArgs().keys(), 'animation_prompts', 'animation_prompts_positive', 'animation_prompts_negative',
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue