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video node

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nick 2024-05-04 10:14:33 -07:00
parent c37b8be00a
commit df391e867e
2 changed files with 325 additions and 124 deletions
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78
comfy-nodes/external_vid.py Normal file
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@ -0,0 +1,78 @@
import os
import folder_paths
import uuid
from tqdm import tqdm
video_extensions = ["webm", "mp4", "mkv", "gif"]
class ComfyUIDeployExternalVideo:
@classmethod
def INPUT_TYPES(s):
input_dir = folder_paths.get_input_directory()
files = []
for f in os.listdir(input_dir):
if os.path.isfile(os.path.join(input_dir, f)):
file_parts = f.split(".")
if len(file_parts) > 1 and (file_parts[-1] in video_extensions):
files.append(f)
return {
"required": {
"input_id": (
"STRING",
{"multiline": False, "default": "input_video"},
),
},
"optional": {
"meta_batch": ("VHS_BatchManager",),
"default_value": (sorted(files),),
},
}
CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("video")
FUNCTION = "load_video"
def load_video(self, input_id, default_value):
input_dir = folder_paths.get_input_directory()
if input_id.startswith("http"):
import requests
print("Fetching video from URL: ", input_id)
response = requests.get(input_id, stream=True)
file_size = int(response.headers.get("Content-Length", 0))
file_extension = input_id.split(".")[-1].split("?")[
0
] # Extract extension and handle URLs with parameters
if file_extension not in video_extensions:
file_extension = ".mp4"
unique_filename = str(uuid.uuid4()) + "." + file_extension
video_path = os.path.join(input_dir, unique_filename)
chunk_size = 1024 # 1 Kibibyte
num_bars = int(file_size / chunk_size)
with open(video_path, "wb") as out_file:
for chunk in tqdm(
response.iter_content(chunk_size=chunk_size),
total=num_bars,
unit="KB",
desc="Downloading",
leave=True,
):
out_file.write(chunk)
else:
video_path = os.path.abspath(os.path.join(input_dir, default_value))
return (video_path,)
NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalVid": ComfyUIDeployExternalVideo}
NODE_DISPLAY_NAME_MAPPINGS = {
"ComfyUIDeployExternalVid": "External Video (ComfyUI Deploy) path"
}

371
comfy-nodes/external_video.py
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@ -1,4 +1,4 @@
# credit goes to https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite and is meant to work with
# credit goes to https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite and is meant to work with
import os
import itertools
import numpy as np
@ -19,28 +19,35 @@ import uuid
import server
from tqdm import tqdm
BIGMIN = -(2**53-1)
BIGMAX = (2**53-1)
BIGMIN = -(2**53 - 1)
BIGMAX = 2**53 - 1
DIMMAX = 8192
def ffmpeg_suitability(path):
try:
version = subprocess.run([path, "-version"], check=True,
capture_output=True).stdout.decode("utf-8")
version = subprocess.run(
[path, "-version"], check=True, capture_output=True
).stdout.decode("utf-8")
except:
return 0
score = 0
#rough layout of the importance of various features
simple_criterion = [("libvpx", 20),("264",10), ("265",3),
("svtav1",5),("libopus", 1)]
# rough layout of the importance of various features
simple_criterion = [
("libvpx", 20),
("264", 10),
("265", 3),
("svtav1", 5),
("libopus", 1),
]
for criterion in simple_criterion:
if version.find(criterion[0]) >= 0:
score += criterion[1]
#obtain rough compile year from copyright information
copyright_index = version.find('2000-2')
# obtain rough compile year from copyright information
copyright_index = version.find("2000-2")
if copyright_index >= 0:
copyright_year = version[copyright_index+6:copyright_index+9]
copyright_year = version[copyright_index + 6 : copyright_index + 9]
if copyright_year.isnumeric():
score += int(copyright_year)
return score
@ -52,6 +59,7 @@ else:
ffmpeg_paths = []
try:
from imageio_ffmpeg import get_ffmpeg_exe
imageio_ffmpeg_path = get_ffmpeg_exe()
ffmpeg_paths.append(imageio_ffmpeg_path)
except:
@ -70,8 +78,8 @@ else:
if len(ffmpeg_paths) == 0:
ffmpeg_path = None
elif len(ffmpeg_paths) == 1:
#Evaluation of suitability isn't required, can take sole option
#to reduce startup time
# Evaluation of suitability isn't required, can take sole option
# to reduce startup time
ffmpeg_path = ffmpeg_paths[0]
else:
ffmpeg_path = max(ffmpeg_paths, key=ffmpeg_suitability)
@ -81,7 +89,13 @@ if gifski_path is None:
if gifski_path is None:
gifski_path = shutil.which("gifski")
def get_sorted_dir_files_from_directory(directory: str, skip_first_images: int=0, select_every_nth: int=1, extensions: Iterable=None):
def get_sorted_dir_files_from_directory(
directory: str,
skip_first_images: int = 0,
select_every_nth: int = 1,
extensions: Iterable = None,
):
directory = directory.strip()
dir_files = os.listdir(directory)
dir_files = sorted(dir_files)
@ -104,53 +118,64 @@ def get_sorted_dir_files_from_directory(directory: str, skip_first_images: int=0
# modified from https://stackoverflow.com/questions/22058048/hashing-a-file-in-python
def calculate_file_hash(filename: str, hash_every_n: int = 1):
#Larger video files were taking >.5 seconds to hash even when cached,
#so instead the modified time from the filesystem is used as a hash
# Larger video files were taking >.5 seconds to hash even when cached,
# so instead the modified time from the filesystem is used as a hash
h = hashlib.sha256()
h.update(filename.encode())
h.update(str(os.path.getmtime(filename)).encode())
return h.hexdigest()
prompt_queue = server.PromptServer.instance.prompt_queue
def requeue_workflow_unchecked():
"""Requeues the current workflow without checking for multiple requeues"""
currently_running = prompt_queue.currently_running
(_, _, prompt, extra_data, outputs_to_execute) = next(iter(currently_running.values()))
(_, _, prompt, extra_data, outputs_to_execute) = next(
iter(currently_running.values())
)
#Ensure batch_managers are marked stale
# Ensure batch_managers are marked stale
prompt = prompt.copy()
for uid in prompt:
if prompt[uid]['class_type'] == 'VHS_BatchManager':
prompt[uid]['inputs']['requeue'] = prompt[uid]['inputs'].get('requeue',0)+1
if prompt[uid]["class_type"] == "VHS_BatchManager":
prompt[uid]["inputs"]["requeue"] = (
prompt[uid]["inputs"].get("requeue", 0) + 1
)
#execution.py has guards for concurrency, but server doesn't.
#TODO: Check that this won't be an issue
# execution.py has guards for concurrency, but server doesn't.
# TODO: Check that this won't be an issue
number = -server.PromptServer.instance.number
server.PromptServer.instance.number += 1
prompt_id = str(server.uuid.uuid4())
prompt_queue.put((number, prompt_id, prompt, extra_data, outputs_to_execute))
requeue_guard = [None, 0, 0, {}]
def requeue_workflow(requeue_required=(-1,True)):
assert(len(prompt_queue.currently_running) == 1)
def requeue_workflow(requeue_required=(-1, True)):
assert len(prompt_queue.currently_running) == 1
global requeue_guard
(run_number, _, prompt, _, _) = next(iter(prompt_queue.currently_running.values()))
if requeue_guard[0] != run_number:
#Calculate a count of how many outputs are managed by a batch manager
managed_outputs=0
# Calculate a count of how many outputs are managed by a batch manager
managed_outputs = 0
for bm_uid in prompt:
if prompt[bm_uid]['class_type'] == 'VHS_BatchManager':
if prompt[bm_uid]["class_type"] == "VHS_BatchManager":
for output_uid in prompt:
if prompt[output_uid]['class_type'] in ["VHS_VideoCombine"]:
for inp in prompt[output_uid]['inputs'].values():
if prompt[output_uid]["class_type"] in ["VHS_VideoCombine"]:
for inp in prompt[output_uid]["inputs"].values():
if inp == [bm_uid, 0]:
managed_outputs+=1
managed_outputs += 1
requeue_guard = [run_number, 0, managed_outputs, {}]
requeue_guard[1] = requeue_guard[1]+1
requeue_guard[1] = requeue_guard[1] + 1
requeue_guard[3][requeue_required[0]] = requeue_required[1]
if requeue_guard[1] == requeue_guard[2] and max(requeue_guard[3].values()):
requeue_workflow_unchecked()
def get_audio(file, start_time=0, duration=0):
args = [ffmpeg_path, "-v", "error", "-i", file]
if start_time > 0:
@ -158,8 +183,9 @@ def get_audio(file, start_time=0, duration=0):
if duration > 0:
args += ["-t", str(duration)]
try:
res = subprocess.run(args + ["-f", "wav", "-"],
stdout=subprocess.PIPE, check=True).stdout
res = subprocess.run(
args + ["-f", "wav", "-"], stdout=subprocess.PIPE, check=True
).stdout
except subprocess.CalledProcessError as e:
return False
return res
@ -170,90 +196,105 @@ def lazy_eval(func):
def __init__(self, func):
self.res = None
self.func = func
def get(self):
if self.res is None:
self.res = self.func()
return self.res
cache = Cache(func)
return lambda : cache.get()
return lambda: cache.get()
def is_url(url):
return url.split("://")[0] in ["http", "https"]
def validate_sequence(path):
#Check if path is a valid ffmpeg sequence that points to at least one file
# Check if path is a valid ffmpeg sequence that points to at least one file
(path, file) = os.path.split(path)
if not os.path.isdir(path):
return False
match = re.search('%0?\d+d', file)
match = re.search("%0?\d+d", file)
if not match:
return False
seq = match.group()
if seq == '%d':
seq = '\\\\d+'
if seq == "%d":
seq = "\\\\d+"
else:
seq = '\\\\d{%s}' % seq[1:-1]
file_matcher = re.compile(re.sub('%0?\d+d', seq, file))
seq = "\\\\d{%s}" % seq[1:-1]
file_matcher = re.compile(re.sub("%0?\d+d", seq, file))
for file in os.listdir(path):
if file_matcher.fullmatch(file):
return True
return False
def hash_path(path):
if path is None:
return "input"
if is_url(path):
return "url"
return calculate_file_hash(path.strip("\""))
return calculate_file_hash(path.strip('"'))
def validate_path(path, allow_none=False, allow_url=True):
if path is None:
return allow_none
if is_url(path):
#Probably not feasible to check if url resolves here
# Probably not feasible to check if url resolves here
return True if allow_url else "URLs are unsupported for this path"
if not os.path.isfile(path.strip("\"")):
if not os.path.isfile(path.strip('"')):
return "Invalid file path: {}".format(path)
return True
### Utils
video_extensions = ['webm', 'mp4', 'mkv', 'gif']
video_extensions = ["webm", "mp4", "mkv", "gif"]
def is_gif(filename) -> bool:
file_parts = filename.split('.')
file_parts = filename.split(".")
return len(file_parts) > 1 and file_parts[-1] == "gif"
def target_size(width, height, force_size, custom_width, custom_height) -> tuple[int, int]:
def target_size(
width, height, force_size, custom_width, custom_height
) -> tuple[int, int]:
if force_size == "Custom":
return (custom_width, custom_height)
elif force_size == "Custom Height":
force_size = "?x"+str(custom_height)
force_size = "?x" + str(custom_height)
elif force_size == "Custom Width":
force_size = str(custom_width)+"x?"
force_size = str(custom_width) + "x?"
if force_size != "Disabled":
force_size = force_size.split("x")
if force_size[0] == "?":
width = (width*int(force_size[1]))//height
#Limit to a multple of 8 for latent conversion
width = int(width)+4 & ~7
width = (width * int(force_size[1])) // height
# Limit to a multple of 8 for latent conversion
width = int(width) + 4 & ~7
height = int(force_size[1])
elif force_size[1] == "?":
height = (height*int(force_size[0]))//width
height = int(height)+4 & ~7
height = (height * int(force_size[0])) // width
height = int(height) + 4 & ~7
width = int(force_size[0])
else:
width = int(force_size[0])
height = int(force_size[1])
return (width, height)
def cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
select_every_nth, meta_batch=None, unique_id=None):
def cv_frame_generator(
video,
force_rate,
frame_load_cap,
skip_first_frames,
select_every_nth,
meta_batch=None,
unique_id=None,
):
video_cap = cv2.VideoCapture(video)
if not video_cap.isOpened():
raise ValueError(f"{video} could not be loaded with cv.")
@ -275,11 +316,11 @@ def cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
if force_rate == 0:
target_frame_time = base_frame_time
else:
target_frame_time = 1/force_rate
target_frame_time = 1 / force_rate
yield (width, height, fps, duration, total_frames, target_frame_time)
time_offset=target_frame_time - base_frame_time
time_offset = target_frame_time - base_frame_time
while video_cap.isOpened():
if time_offset < target_frame_time:
is_returned = video_cap.grab()
@ -298,7 +339,7 @@ def cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
total_frames_evaluated += 1
# if should not be selected, skip doing anything with frame
if total_frames_evaluated%select_every_nth != 0:
if total_frames_evaluated % select_every_nth != 0:
continue
# opencv loads images in BGR format (yuck), so need to convert to RGB for ComfyUI use
@ -310,9 +351,9 @@ def cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
# TODO: frame contains no exif information. Check if opencv2 has already applied
frame = np.array(frame, dtype=np.float32) / 255.0
if prev_frame is not None:
inp = yield prev_frame
inp = yield prev_frame
if inp is not None:
#ensure the finally block is called
# ensure the finally block is called
return
prev_frame = frame
frames_added += 1
@ -325,39 +366,70 @@ def cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
if prev_frame is not None:
yield prev_frame
def load_video_cv(video: str, force_rate: int, force_size: str,
custom_width: int,custom_height: int, frame_load_cap: int,
skip_first_frames: int, select_every_nth: int,
meta_batch=None, unique_id=None):
def load_video_cv(
video: str,
force_rate: int,
force_size: str,
custom_width: int,
custom_height: int,
frame_load_cap: int,
skip_first_frames: int,
select_every_nth: int,
meta_batch=None,
unique_id=None,
):
if meta_batch is None or unique_id not in meta_batch.inputs:
gen = cv_frame_generator(video, force_rate, frame_load_cap, skip_first_frames,
select_every_nth, meta_batch, unique_id)
gen = cv_frame_generator(
video,
force_rate,
frame_load_cap,
skip_first_frames,
select_every_nth,
meta_batch,
unique_id,
)
(width, height, fps, duration, total_frames, target_frame_time) = next(gen)
if meta_batch is not None:
meta_batch.inputs[unique_id] = (gen, width, height, fps, duration, total_frames, target_frame_time)
meta_batch.inputs[unique_id] = (
gen,
width,
height,
fps,
duration,
total_frames,
target_frame_time,
)
else:
(gen, width, height, fps, duration, total_frames, target_frame_time) = meta_batch.inputs[unique_id]
(gen, width, height, fps, duration, total_frames, target_frame_time) = (
meta_batch.inputs[unique_id]
)
if meta_batch is not None:
gen = itertools.islice(gen, meta_batch.frames_per_batch)
#Some minor wizardry to eliminate a copy and reduce max memory by a factor of ~2
images = torch.from_numpy(np.fromiter(gen, np.dtype((np.float32, (height, width, 3)))))
# Some minor wizardry to eliminate a copy and reduce max memory by a factor of ~2
images = torch.from_numpy(
np.fromiter(gen, np.dtype((np.float32, (height, width, 3))))
)
if len(images) == 0:
raise RuntimeError("No frames generated")
if force_size != "Disabled":
new_size = target_size(width, height, force_size, custom_width, custom_height)
if new_size[0] != width or new_size[1] != height:
s = images.movedim(-1,1)
s = images.movedim(-1, 1)
s = common_upscale(s, new_size[0], new_size[1], "lanczos", "center")
images = s.movedim(1,-1)
images = s.movedim(1, -1)
#Setup lambda for lazy audio capture
audio = lambda : get_audio(video, skip_first_frames * target_frame_time,
frame_load_cap*target_frame_time*select_every_nth)
#Adjust target_frame_time for select_every_nth
# Setup lambda for lazy audio capture
audio = lambda: get_audio(
video,
skip_first_frames * target_frame_time,
frame_load_cap * target_frame_time * select_every_nth,
)
# Adjust target_frame_time for select_every_nth
target_frame_time *= select_every_nth
video_info = {
"source_fps": fps,
@ -365,7 +437,7 @@ def load_video_cv(video: str, force_rate: int, force_size: str,
"source_duration": duration,
"source_width": width,
"source_height": height,
"loaded_fps": 1/target_frame_time,
"loaded_fps": 1 / target_frame_time,
"loaded_frame_count": len(images),
"loaded_duration": len(images) * target_frame_time,
"loaded_width": images.shape[2],
@ -382,60 +454,100 @@ class ComfyUIDeployExternalVideo:
files = []
for f in os.listdir(input_dir):
if os.path.isfile(os.path.join(input_dir, f)):
file_parts = f.split('.')
file_parts = f.split(".")
if len(file_parts) > 1 and (file_parts[-1] in video_extensions):
files.append(f)
return {"required": {
"input_id": (
"STRING",
{"multiline": False, "default": "input_video"},
),
"force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
"force_size": (["Disabled", "Custom Height", "Custom Width", "Custom", "256x?", "?x256", "256x256", "512x?", "?x512", "512x512"],),
"custom_width": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
"custom_height": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
"frame_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
"skip_first_frames": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
"select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
},
"optional": {
"meta_batch": ("VHS_BatchManager",),
"default_value": (sorted(files),),
},
"hidden": {
"unique_id": "UNIQUE_ID"
},
}
return {
"required": {
"input_id": (
"STRING",
{"multiline": False, "default": "input_video"},
),
"force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
"force_size": (
[
"Disabled",
"Custom Height",
"Custom Width",
"Custom",
"256x?",
"?x256",
"256x256",
"512x?",
"?x512",
"512x512",
],
),
"custom_width": (
"INT",
{"default": 512, "min": 0, "max": DIMMAX, "step": 8},
),
"custom_height": (
"INT",
{"default": 512, "min": 0, "max": DIMMAX, "step": 8},
),
"frame_load_cap": (
"INT",
{"default": 0, "min": 0, "max": BIGMAX, "step": 1},
),
"skip_first_frames": (
"INT",
{"default": 0, "min": 0, "max": BIGMAX, "step": 1},
),
"select_every_nth": (
"INT",
{"default": 1, "min": 1, "max": BIGMAX, "step": 1},
),
},
"optional": {
"meta_batch": ("VHS_BatchManager",),
"default_value": (sorted(files),),
},
"hidden": {"unique_id": "UNIQUE_ID"},
}
CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
RETURN_TYPES = ("IMAGE", "INT", "VHS_AUDIO", "VHS_VIDEOINFO",)
RETURN_NAMES = ("IMAGE", "frame_count", "audio", "video_info",)
RETURN_TYPES = (
"IMAGE",
"INT",
"VHS_AUDIO",
"VHS_VIDEOINFO",
)
RETURN_NAMES = (
"IMAGE",
"frame_count",
"audio",
"video_info",
)
FUNCTION = "load_video"
def load_video(self, **kwargs):
input_id = kwargs.get('input_id')
force_rate = kwargs.get('force_rate')
force_size = kwargs.get('force_size', "Disabled")
custom_width = kwargs.get('custom_width')
custom_height = kwargs.get('custom_height')
frame_load_cap = kwargs.get('frame_load_cap')
skip_first_frames = kwargs.get('skip_first_frames')
select_every_nth = kwargs.get('select_every_nth')
meta_batch = kwargs.get('meta_batch')
unique_id = kwargs.get('unique_id')
input_id = kwargs.get("input_id")
force_rate = kwargs.get("force_rate")
force_size = kwargs.get("force_size", "Disabled")
custom_width = kwargs.get("custom_width")
custom_height = kwargs.get("custom_height")
frame_load_cap = kwargs.get("frame_load_cap")
skip_first_frames = kwargs.get("skip_first_frames")
select_every_nth = kwargs.get("select_every_nth")
meta_batch = kwargs.get("meta_batch")
unique_id = kwargs.get("unique_id")
video = kwargs.get('default_value')
video_path = folder_paths.get_annotated_filepath(video.strip("\""))
video = kwargs.get("default_value")
video_path = folder_paths.get_annotated_filepath(video.strip('"'))
input_dir = folder_paths.get_input_directory()
if input_id.startswith('http'):
if input_id.startswith("http"):
import requests
print("Fetching video from URL: ", input_id)
response = requests.get(input_id, stream=True)
file_size = int(response.headers.get('Content-Length', 0))
file_extension = input_id.split('.')[-1].split('?')[0] # Extract extension and handle URLs with parameters
file_size = int(response.headers.get("Content-Length", 0))
file_extension = input_id.split(".")[-1].split("?")[
0
] # Extract extension and handle URLs with parameters
if file_extension not in video_extensions:
file_extension = ".mp4"
@ -445,27 +557,38 @@ class ComfyUIDeployExternalVideo:
num_bars = int(file_size / chunk_size)
with open(video_path, 'wb') as out_file:
with open(video_path, "wb") as out_file:
for chunk in tqdm(
response.iter_content(chunk_size=chunk_size),
total=num_bars,
unit='KB',
unit="KB",
desc="Downloading",
leave=True
leave=True,
):
out_file.write(chunk)
print("video path: ", video_path)
return load_video_cv(video=video_path, force_rate=force_rate, force_size=force_size,
custom_width=custom_width, custom_height=custom_height, frame_load_cap=frame_load_cap,
skip_first_frames=skip_first_frames, select_every_nth=select_every_nth,
meta_batch=meta_batch, unique_id=unique_id)
return load_video_cv(
video=video_path,
force_rate=force_rate,
force_size=force_size,
custom_width=custom_width,
custom_height=custom_height,
frame_load_cap=frame_load_cap,
skip_first_frames=skip_first_frames,
select_every_nth=select_every_nth,
meta_batch=meta_batch,
unique_id=unique_id,
)
@classmethod
def IS_CHANGED(s, video, **kwargs):
image_path = folder_paths.get_annotated_filepath(video)
return calculate_file_hash(image_path)
NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalVideo": ComfyUIDeployExternalVideo}
NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalVideo": "External Video (ComfyUI Deploy)"}
NODE_DISPLAY_NAME_MAPPINGS = {
"ComfyUIDeployExternalVideo": "External Video (ComfyUI Deploy x VHS)"
}