180 lines
9.5 KiB
Python
180 lines
9.5 KiB
Python
# Copyright (C) 2023 Deforum LLC
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, version 3 of the License.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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# Contact the authors: https://deforum.github.io/
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import os
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import time
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import pathlib
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import re
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import numexpr
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from modules.shared import opts, state
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from .render import render_animation
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from .seed import next_seed
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from .video_audio_utilities import vid2frames, render_preview
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from .prompt import interpolate_prompts
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from .generate import generate
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from .animation_key_frames import DeformAnimKeys
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from .parseq_adapter import ParseqAdapter
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from .save_images import save_image
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from .settings import save_settings_from_animation_run
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def render_input_video(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root):
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# create a folder for the video input frames to live in
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video_in_frame_path = os.path.join(args.outdir, 'inputframes')
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os.makedirs(video_in_frame_path, exist_ok=True)
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# save the video frames from input video
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print(f"Exporting Video Frames (1 every {anim_args.extract_nth_frame}) frames to {video_in_frame_path}...")
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vid2frames(video_path = anim_args.video_init_path, video_in_frame_path=video_in_frame_path, n=anim_args.extract_nth_frame, overwrite=anim_args.overwrite_extracted_frames, extract_from_frame=anim_args.extract_from_frame, extract_to_frame=anim_args.extract_to_frame)
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# determine max frames from length of input frames
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anim_args.max_frames = len([f for f in pathlib.Path(video_in_frame_path).glob('*.jpg')])
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args.use_init = True
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print(f"Loading {anim_args.max_frames} input frames from {video_in_frame_path} and saving video frames to {args.outdir}")
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if anim_args.use_mask_video:
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# create a folder for the mask video input frames to live in
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mask_in_frame_path = os.path.join(args.outdir, 'maskframes')
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os.makedirs(mask_in_frame_path, exist_ok=True)
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# save the video frames from mask video
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print(f"Exporting Video Frames (1 every {anim_args.extract_nth_frame}) frames to {mask_in_frame_path}...")
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vid2frames(video_path=anim_args.video_mask_path,video_in_frame_path=mask_in_frame_path, n=anim_args.extract_nth_frame, overwrite=anim_args.overwrite_extracted_frames, extract_from_frame=anim_args.extract_from_frame, extract_to_frame=anim_args.extract_to_frame)
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max_mask_frames = len([f for f in pathlib.Path(mask_in_frame_path).glob('*.jpg')])
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# limit max frames if there are less frames in the video mask compared to input video
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if max_mask_frames < anim_args.max_frames :
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anim_args.max_mask_frames
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print ("Video mask contains less frames than init video, max frames limited to number of mask frames.")
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args.use_mask = True
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args.overlay_mask = True
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render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
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# Modified a copy of the above to allow using masking video with out a init video.
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def render_animation_with_video_mask(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root):
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# create a folder for the video input frames to live in
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mask_in_frame_path = os.path.join(args.outdir, 'maskframes')
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os.makedirs(mask_in_frame_path, exist_ok=True)
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# save the video frames from mask video
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print(f"Exporting Video Frames (1 every {anim_args.extract_nth_frame}) frames to {mask_in_frame_path}...")
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vid2frames(video_path=anim_args.video_mask_path, video_in_frame_path=mask_in_frame_path, n=anim_args.extract_nth_frame, overwrite=anim_args.overwrite_extracted_frames, extract_from_frame=anim_args.extract_from_frame, extract_to_frame=anim_args.extract_to_frame)
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args.use_mask = True
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#args.overlay_mask = True
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# determine max frames from length of input frames
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anim_args.max_frames = len([f for f in pathlib.Path(mask_in_frame_path).glob('*.jpg')])
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#args.use_init = True
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print(f"Loading {anim_args.max_frames} input frames from {mask_in_frame_path} and saving video frames to {args.outdir}")
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render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
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def get_parsed_value(value, frame_idx, max_f):
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pattern = r'`.*?`'
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regex = re.compile(pattern)
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parsed_value = value
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for match in regex.finditer(parsed_value):
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matched_string = match.group(0)
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parsed_string = matched_string.replace('t', f'{frame_idx}').replace("max_f" , f"{max_f}").replace('`','')
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value = numexpr.evaluate(parsed_string)
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parsed_value = parsed_value.replace(matched_string, str(value))
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return parsed_value
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def render_interpolation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root):
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# use parseq if manifest is provided
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parseq_adapter = ParseqAdapter(parseq_args, anim_args, video_args, controlnet_args, loop_args)
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# expand key frame strings to values
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keys = DeformAnimKeys(anim_args) if not parseq_adapter.use_parseq else parseq_adapter.anim_keys
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# create output folder for the batch
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os.makedirs(args.outdir, exist_ok=True)
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print(f"Saving interpolation animation frames to {args.outdir}")
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# save settings.txt file for the current run
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save_settings_from_animation_run(args, anim_args, parseq_args, loop_args, controlnet_args, video_args, root)
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# Compute interpolated prompts
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if parseq_adapter.manages_prompts():
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print("Parseq prompts are assumed to already be interpolated - not doing any additional prompt interpolation")
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prompt_series = keys.prompts
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else:
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print("Generating interpolated prompts for all frames")
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prompt_series = interpolate_prompts(root.animation_prompts, anim_args.max_frames)
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state.job_count = anim_args.max_frames
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frame_idx = 0
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last_preview_frame = 0
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# INTERPOLATION MODE
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while frame_idx < anim_args.max_frames:
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# print data to cli
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prompt_to_print = get_parsed_value(prompt_series[frame_idx].strip(), frame_idx, anim_args.max_frames)
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if prompt_to_print.endswith("--neg"):
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prompt_to_print = prompt_to_print[:-5]
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print(f"\033[36mInterpolation frame: \033[0m{frame_idx}/{anim_args.max_frames} ")
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print(f"\033[32mSeed: \033[0m{args.seed}")
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print(f"\033[35mPrompt: \033[0m{prompt_to_print}")
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state.job = f"frame {frame_idx + 1}/{anim_args.max_frames}"
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state.job_no = frame_idx + 1
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if state.interrupted:
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break
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if state.skipped:
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print("\n** PAUSED **")
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state.skipped = False
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while not state.skipped:
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time.sleep(0.1)
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print("** RESUMING **")
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# grab inputs for current frame generation
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args.prompt = prompt_to_print
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args.scale = keys.cfg_scale_schedule_series[frame_idx]
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args.pix2pix_img_cfg_scale = keys.pix2pix_img_cfg_scale_series[frame_idx]
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scheduled_sampler_name = keys.sampler_schedule_series[frame_idx].casefold() if anim_args.enable_sampler_scheduling and keys.sampler_schedule_series[frame_idx] is not None else None
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args.steps = int(keys.steps_schedule_series[frame_idx]) if anim_args.enable_steps_scheduling and keys.steps_schedule_series[frame_idx] is not None else args.steps
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scheduled_clipskip = int(keys.clipskip_schedule_series[frame_idx]) if anim_args.enable_clipskip_scheduling and keys.clipskip_schedule_series[frame_idx] is not None else None
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args.checkpoint = keys.checkpoint_schedule_series[frame_idx] if anim_args.enable_checkpoint_scheduling else None
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if anim_args.enable_subseed_scheduling:
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root.subseed = int(keys.subseed_schedule_series[frame_idx])
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root.subseed_strength = keys.subseed_strength_schedule_series[frame_idx]
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else:
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root.subseed, root.subseed_strength = keys.subseed_schedule_series[frame_idx], keys.subseed_strength_schedule_series[frame_idx]
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if parseq_adapter.manages_seed():
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anim_args.enable_subseed_scheduling = True
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root.subseed, root.subseed_strength = int(keys.subseed_schedule_series[frame_idx]), keys.subseed_strength_schedule_series[frame_idx]
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args.seed = int(keys.seed_schedule_series[frame_idx]) if (args.seed_behavior == 'schedule' or parseq_adapter.manages_seed()) else args.seed
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opts.data["CLIP_stop_at_last_layers"] = scheduled_clipskip if scheduled_clipskip is not None else opts.data["CLIP_stop_at_last_layers"]
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image = generate(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame_idx, sampler_name=scheduled_sampler_name)
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filename = f"{root.timestring}_{frame_idx:09}.png"
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save_image(image, 'PIL', filename, args, video_args, root)
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state.current_image = image
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if args.seed_behavior != 'schedule':
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args.seed = next_seed(args, root)
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last_preview_frame = render_preview(args, anim_args, video_args, root, frame_idx, last_preview_frame)
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frame_idx += 1
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