176 lines
12 KiB
Python
176 lines
12 KiB
Python
import sys, os, shutil
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import traceback
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import gc
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import torch
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import gradio as gr
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import modules.shared as shared
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from modules.processing import Processed, StableDiffusionProcessingImg2Img
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from .args import get_component_names, process_args
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from .deforum_tqdm import DeforumTQDM
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from .settings import save_settings_from_animation_run
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from .save_images import dump_frames_cache, reset_frames_cache
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from .frame_interpolation import process_video_interpolation
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from .general_utils import get_deforum_version
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from .upscaling import make_upscale_v2
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from .video_audio_utilities import ffmpeg_stitch_video, make_gifski_gif, handle_imgs_deletion, get_ffmpeg_params
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# this global param will contain the latest generated video HTML-data-URL info (for preview inside the UI when needed)
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last_vid_data = None
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def run_deforum(*args, **kwargs):
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f_location, f_crf, f_preset = get_ffmpeg_params() # get params for ffmpeg exec
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component_names = get_component_names()
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args_dict = {component_names[i]: args[i+2] for i in range(0, len(component_names))}
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p = StableDiffusionProcessingImg2Img(
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sd_model=shared.sd_model,
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outpath_samples = shared.opts.outdir_samples or shared.opts.outdir_img2img_samples
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) #we'll setup the rest later
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times_to_run = 1
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# find how how many times in total we need to run according to file count uploaded to Batch Mode uplaod box
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if args_dict['custom_settings_file'] is not None and len(args_dict['custom_settings_file']) > 1:
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times_to_run = len(args_dict['custom_settings_file'])
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for i in range(times_to_run): # run for as many times as we need
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print(f"\033[4;33mDeforum extension for auto1111 webui, v2.4b\033[0m")
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print(f"Git commit: {get_deforum_version()}")
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args_dict['self'] = None
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args_dict['p'] = p
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try:
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args_loaded_ok, root, args, anim_args, video_args, parseq_args, loop_args, controlnet_args = process_args(args_dict, i)
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except Exception as e:
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print("\n*START OF TRACEBACK*")
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traceback.print_exc()
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print("*END OF TRACEBACK*\n")
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print("User friendly error message:")
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print(f"Error: {e}. Check your prompts with a JSON validator please.")
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return None, None, None, f"Error: '{e}'. Check your prompts with a JSON validator please. Full error message is in your terminal/ cli."
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if args_loaded_ok is False:
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if times_to_run > 1:
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print(f"\033[31mWARNING:\033[0m skipped running from the following setting file, as it contains an invalid JSON: {os.path.basename(args_dict['custom_settings_file'][i].name)}")
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continue
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else:
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print(f"\033[31mERROR!\033[0m Couldn't load data from '{os.path.basename(args_dict['custom_settings_file'][i].name)}'. Make sure it's a valid JSON using a JSON validator")
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return None, None, None, f"Couldn't load data from '{os.path.basename(args_dict['custom_settings_file'][i].name)}'. Make sure it's a valid JSON using a JSON validator"
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root.initial_clipskip = shared.opts.data.get("CLIP_stop_at_last_layers", 1)
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root.initial_img2img_fix_steps = shared.opts.data.get("img2img_fix_steps", False)
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root.initial_noise_multiplier = shared.opts.data.get("initial_noise_multiplier", 1.0)
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root.initial_ddim_eta = shared.opts.data.get("eta_ddim", 0.0)
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root.initial_ancestral_eta = shared.opts.data.get("eta_ancestral", 1.0)
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# clean up unused memory
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reset_frames_cache(root)
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gc.collect()
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torch.cuda.empty_cache()
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# Import them *here* or we add 3 seconds to initial webui launch-time. user doesn't feel it when we import inside the func:
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from deforum_helpers.render import render_animation
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from deforum_helpers.render_modes import render_input_video, render_animation_with_video_mask, render_interpolation
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tqdm_backup = shared.total_tqdm
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shared.total_tqdm = DeforumTQDM(args, anim_args, parseq_args, video_args)
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try: # dispatch to appropriate renderer
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if anim_args.animation_mode == '2D' or anim_args.animation_mode == '3D':
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if anim_args.use_mask_video:
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render_animation_with_video_mask(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root) # allow mask video without an input video
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else:
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render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
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elif anim_args.animation_mode == 'Video Input':
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render_input_video(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)#TODO: prettify code
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elif anim_args.animation_mode == 'Interpolation':
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render_interpolation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
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else:
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print('Other modes are not available yet!')
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except Exception as e:
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print("\n*START OF TRACEBACK*")
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traceback.print_exc()
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print("*END OF TRACEBACK*\n")
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print("User friendly error message:")
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print(f"Error: {e}. Check your schedules/ init values please. Also make sure you don't have a backwards slash in any of your PATHs - use / instead of \\.")
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return None, None, None, f"Error: '{e}'. Check your schedules/ init values please. Also make sure you don't have a backwards slash in any of your PATHs - use / instead of \\. Full error message is in your terminal/ cli."
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finally:
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shared.total_tqdm = tqdm_backup
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# reset shared.opts.data vals to what they were before we started the animation. Else they will stick to the last value - it actually updates webui settings (config.json)
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shared.opts.data["CLIP_stop_at_last_layers"] = root.initial_clipskip
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shared.opts.data["img2img_fix_steps"] = root.initial_img2img_fix_steps
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shared.opts.data["initial_noise_multiplier"] = root.initial_noise_multiplier
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shared.opts.data["eta_ddim"] = root.initial_ddim_eta
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shared.opts.data["eta_ancestral"] = root.initial_ancestral_eta
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if video_args.store_frames_in_ram:
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dump_frames_cache(root)
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from base64 import b64encode
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real_audio_track = None
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if video_args.add_soundtrack != 'None':
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real_audio_track = anim_args.video_init_path if video_args.add_soundtrack == 'Init Video' else video_args.soundtrack_path
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# Establish path of subtitles file
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if shared.opts.data.get("deforum_save_gen_info_as_srt", False) and shared.opts.data.get("deforum_embed_srt", False):
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srt_path = os.path.join(args.outdir, f"{args.timestring}.srt")
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else:
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srt_path = None
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# Delete folder with duplicated imgs from OS temp folder
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shutil.rmtree(root.tmp_deforum_run_duplicated_folder, ignore_errors=True)
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# Decide whether or not we need to try and frame interpolate laters
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need_to_frame_interpolate = False
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if video_args.frame_interpolation_engine != "None" and not video_args.skip_video_creation and not video_args.store_frames_in_ram:
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need_to_frame_interpolate = True
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if video_args.skip_video_creation:
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print("\nSkipping video creation, uncheck 'Skip video creation' in 'Output' tab if you want to get a video too :)")
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else:
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image_path = os.path.join(args.outdir, f"{args.timestring}_%09d.png")
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mp4_path = os.path.join(args.outdir, f"{args.timestring}.mp4")
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max_video_frames = anim_args.max_frames
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# Stitch video using ffmpeg!
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try:
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f_location, f_crf, f_preset = get_ffmpeg_params() # get params for ffmpeg exec
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ffmpeg_stitch_video(ffmpeg_location=f_location, fps=video_args.fps, outmp4_path=mp4_path, stitch_from_frame=0, stitch_to_frame=max_video_frames, imgs_path=image_path, add_soundtrack=video_args.add_soundtrack, audio_path=real_audio_track, crf=f_crf, preset=f_preset, srt_path=srt_path)
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mp4 = open(mp4_path,'rb').read()
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data_url = "data:video/mp4;base64," + b64encode(mp4).decode()
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global last_vid_data
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last_vid_data = f'<p style=\"font-weight:bold;margin-bottom:0em\">Deforum extension for auto1111 — version 2.4b </p><video controls loop><source src="{data_url}" type="video/mp4"></video>'
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except Exception as e:
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if need_to_frame_interpolate:
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print(f"FFMPEG DID NOT STITCH ANY VIDEO. However, you requested to frame interpolate - so we will continue to frame interpolation, but you'll be left only with the interpolated frames and not a video, since ffmpeg couldn't run. Original ffmpeg error: {e}")
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else:
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print(f"** FFMPEG DID NOT STITCH ANY VIDEO ** Error: {e}")
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pass
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# FRAME INTERPOLATION TIME
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if need_to_frame_interpolate:
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print(f"Got a request to *frame interpolate* using {video_args.frame_interpolation_engine}")
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process_video_interpolation(frame_interpolation_engine=video_args.frame_interpolation_engine, frame_interpolation_x_amount=video_args.frame_interpolation_x_amount,frame_interpolation_slow_mo_enabled=video_args.frame_interpolation_slow_mo_enabled, frame_interpolation_slow_mo_amount=video_args.frame_interpolation_slow_mo_amount, orig_vid_fps=video_args.fps, deforum_models_path=root.models_path, real_audio_track=real_audio_track, raw_output_imgs_path=args.outdir, img_batch_id=args.timestring, ffmpeg_location=f_location, ffmpeg_crf=f_crf, ffmpeg_preset=f_preset, keep_interp_imgs=video_args.frame_interpolation_keep_imgs, orig_vid_name=None, resolution=None, srt_path=srt_path)
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if video_args.make_gif and not video_args.skip_video_creation and not video_args.store_frames_in_ram:
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make_gifski_gif(imgs_raw_path = args.outdir, imgs_batch_id = args.timestring, fps = video_args.fps, models_folder = root.models_path, current_user_os = root.current_user_os)
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# Upscale video once generation is done:
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if video_args.r_upscale_video and not video_args.skip_video_creation and not video_args.store_frames_in_ram:
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# out mp4 path is defined in make_upscale func
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make_upscale_v2(upscale_factor = video_args.r_upscale_factor, upscale_model = video_args.r_upscale_model, keep_imgs = video_args.r_upscale_keep_imgs, imgs_raw_path = args.outdir, imgs_batch_id = args.timestring, fps = video_args.fps, deforum_models_path = root.models_path, current_user_os = root.current_user_os, ffmpeg_location=f_location, stitch_from_frame=0, stitch_to_frame=max_video_frames, ffmpeg_crf=f_crf, ffmpeg_preset=f_preset, add_soundtrack = video_args.add_soundtrack ,audio_path=real_audio_track, srt_path=srt_path)
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if video_args.delete_imgs and not video_args.skip_video_creation:
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handle_imgs_deletion(vid_path=mp4_path, imgs_folder_path=args.outdir, batch_id=args.timestring)
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root.initial_info += "\n The animation is stored in " + args.outdir
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reset_frames_cache(root) # cleanup the RAM in any case
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processed = Processed(p, [root.first_frame], 0, root.initial_info)
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shared.total_tqdm.clear()
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generation_info_js = processed.js()
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if getattr(shared.opts, 'samples_log_stdout', False):
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print(generation_info_js)
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if shared.opts.data.get("deforum_enable_persistent_settings", False):
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persistent_sett_path = shared.opts.data.get("deforum_persistent_settings_path")
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deforum_settings.save_settings_from_animation_run(args, anim_args, parseq_args, loop_args, controlnet_args, video_args, root, persistent_sett_path)
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return processed.images, args.timestring, generation_info_js, processed.info |