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최고의 오픈 소스 AI 모델

ComfyUI의 Load Video (Upload) (VideoHelperSuite) 노드

Load Video (Upload) decodes a video file into an IMAGE batch of frames (with frame cap, skip and every-nth options) plus the audio and frame count, the input node for video-to-video and frame-by-frame processing.
노드 팩: ComfyUI-VideoHelperSuite
카테고리: 비디오와 애니메이션
이 페이지는 아직 번역되지 않아 영어로 표시됩니다.

Load Video (Upload) (VideoHelperSuite)이(가) 하는 일

The VHS Load Video nodes (Upload and Path variants) open MP4, MOV, WebM, GIF and more with ffmpeg or OpenCV and output the frames as a single IMAGE batch. force_rate resamples to a target fps, force_size or custom_width/height rescale on load, frame_load_cap limits the number of frames (0 for all), skip_first_frames and select_every_nth pick a range. The audio output can be fed straight into Video Combine so the sound survives the round trip.
Typical graphs: Load Video -> ControlNet preprocessor (Depth, Lineart) -> Apply ControlNet with AnimateDiff for stylised video-to-video; Load Video -> ReActor for face swaps; Load Video -> Wan VACE or Wan Fun control nodes for modern restyling; or Load Video -> RIFE interpolation -> Video Combine for smoothing.

입력

이름
타입
의미
video
COMBO/upload
The file from ComfyUI/input.
force_rate
FLOAT
Resample to this fps; 0 keeps the original.
force_size / custom_width / custom_height
COMBO / INT
Resize on load.
frame_load_cap
INT
Maximum frames (0 = all). Keep it small to test.
skip_first_frames / select_every_nth
INT
Start offset and frame stride.

출력

이름
타입
의미
IMAGE
IMAGE
The frames as a batch.
frame_count
INT
Number of frames loaded.
audio
AUDIO
The soundtrack (when present).
video_info
VHS_VIDEOINFO
fps, duration and sizes for other VHS nodes.
AD
설치는 건너뛰세요: 클라우드에 미리 설치된 ComfyUI 워크플로
BitVector는 완성된 ComfyUI 워크플로를 자체 GPU에서 실행합니다. 설치 없음, 누락 노드 없음, 빨간 박스 없음. 휴대폰이나 노트북에서 열고 1분 안에 생성하세요.

Load Video (Upload) (VideoHelperSuite) 사용법

  1. Add Load Video (Upload) and upload a short clip.
  2. Set frame_load_cap to 16-32 while testing, force_rate 8-16 to thin the frames.
  3. Set force_size to a model-friendly resolution (512x768 for SD 1.5, 832x480 for Wan).
  4. Process the IMAGE batch (ControlNet, Wan control nodes, ReActor, upscalers).
  5. Connect the result and the audio output to Video Combine with the same frame rate.

설정과 팁

  • Frames x height x width x 3 floats add up fast: 200 frames at 1080p is 7 GB of RAM. Cap and downscale.
  • select_every_nth 2 halves the work; interpolate back afterwards.
  • Use the Path variant for files outside the input folder.
  • Meta Batch Manager processes long videos in chunks through the same graph.

Load Video (Upload) (VideoHelperSuite) 문제 해결

Out of RAM / the browser tab crashes on load

원인
Too many full-size frames loaded at once.

해결 방법
Set frame_load_cap, force_size and select_every_nth; use Meta Batch Manager for long clips.

Error: could not open video / no frames

원인
The codec is not supported by the installed ffmpeg or OpenCV (common with HEVC on some builds).

해결 방법
Re-encode the clip to h264 MP4 with ffmpeg or HandBrake and upload again.

Audio output is None

원인
The source has no audio track or the format is not decoded by ffmpeg.

해결 방법
Verify the file has sound; convert to AAC in an MP4 container.

AD
이 워크플로를 휴대폰에서 실행하세요
이 페이지의 모든 워크플로는 모델과 커스텀 노드까지 갖춘 채 BitVector에 미리 설치되어 있습니다. 하나 고르고 프롬프트를 입력하면 끝. 설정 제로, 다운로드 없음.

Load Video (Upload) (VideoHelperSuite)에 관한 질문

Is there a core Load Video node?

Recent ComfyUI versions include basic Load Video and Save Video nodes; VHS still offers more controls (cap, stride, resize, audio handling).

Can I load an image sequence?

Yes, Load Images (Path) reads a folder of numbered frames as a batch.

관련 노드

Video Combine (VideoHelperSuite)
ComfyUI-VideoHelperSuite
Video Combine turns an IMAGE batch of frames into an MP4, WebM, GIF or image sequence at a chosen frame rate, with optional audio, loop count and ping-pong, the standard output node for every video workflow.
Apply ControlNet
ComfyUI core
Apply ControlNet attaches a guide image and a loaded ControlNet to the positive and negative CONDITIONING with strength and start/end percentages, so the sampler follows edges, depth or pose from the guide.
AnimateDiff Loader (Evolved)
ComfyUI-AnimateDiff-Evolved
AnimateDiff Loader adds a motion module to an SD 1.5 or SDXL model so a batch of latents is rendered as coherent animation frames, the classic route to short clips from text with Stable Diffusion.
WanImageToVideo and Wan 2.x video nodes
ComfyUI core
WanImageToVideo builds the conditioning and the empty video latent for a Wan 2.1/2.2 image-to-video render from a start image, a CLIP Vision embedding and the frame count; the surrounding graph uses Load Diffusion Model, Load CLIP, Load VAE and KSampler.
ReActor Fast Face Swap
ComfyUI-ReActor
ReActor swaps a face from a source photo onto the generated picture with InsightFace, with optional restoration (GFPGAN, CodeFormer) and face boosting, for consistent characters without training a LoRA.
AD
노드 고치기에 지치셨나요? 클라우드에 맡기세요
BitVector는 수백 개의 ComfyUI 워크플로를 빠른 클라우드 GPU에 설치하고 업데이트하고 테스트해 둡니다. Python도, CUDA 오류도, VRAM 한계도 없습니다. 어떤 브라우저에서든 됩니다.

더 많은 ComfyUI 노드

CLIP Text Encode (Prompt)
ComfyUI core
CLIP Text Encode turns a text prompt into CONDITIONING using the model text encoder. One node holds the positive prompt, a second one the negative prompt.
ComfyUI Manager
ComfyUI-Manager
ComfyUI Manager is the extension that installs, updates and fixes custom node packs and models from inside the interface, resolves missing nodes in imported workflows and snapshots your setup.
KSampler
ComfyUI core
KSampler runs the denoising loop: it takes the model, prompts and a latent and produces the finished latent image, controlled by seed, steps, cfg, sampler, scheduler and denoise.
Load Checkpoint
ComfyUI core
Load Checkpoint (CheckpointLoaderSimple) opens a .safetensors or .ckpt model file and hands out the three parts every workflow needs: the diffusion MODEL, the CLIP text encoder and the VAE.
Save Image
ComfyUI core
Save Image writes the IMAGE tensor to ComfyUI/output as a PNG, with the whole workflow embedded in the file metadata so the picture can be dragged back into ComfyUI to restore the graph.
VAE Decode
ComfyUI core
VAE Decode converts the sampled LATENT into a pixel IMAGE with the VAE; VAE Decode (Tiled) does the same in tiles for very large images.