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Noden Load Video (Upload) (VideoHelperSuite) i ComfyUI

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.
Nodpaket: ComfyUI-VideoHelperSuite
Kategori: Video och animation
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Vad Load Video (Upload) (VideoHelperSuite) gör

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.

Ingångar

Namn
Typ
Vad det är
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.

Utgångar

Namn
Typ
Vad det är
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.
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Så använder du Load Video (Upload) (VideoHelperSuite)

  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.

Inställningar och tips

  • 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.

Felsökning av Load Video (Upload) (VideoHelperSuite)

Out of RAM / the browser tab crashes on load

Varför det händer
Too many full-size frames loaded at once.

Så löser du det
Set frame_load_cap, force_size and select_every_nth; use Meta Batch Manager for long clips.

Error: could not open video / no frames

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

Så löser du det
Re-encode the clip to h264 MP4 with ffmpeg or HandBrake and upload again.

Audio output is None

Varför det händer
The source has no audio track or the format is not decoded by ffmpeg.

Så löser du det
Verify the file has sound; convert to AAC in an MP4 container.

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Frågor om Load Video (Upload) (VideoHelperSuite)

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.

Relaterade noder

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.
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Trött på att laga noder? Låt molnet göra det
BitVector håller hundratals ComfyUI-arbetsflöden installerade, uppdaterade och testade på snabba moln-GPU:er. Ingen Python, inga CUDA-fel, inga VRAM-gränser. Fungerar från vilken webbläsare som helst.

Fler ComfyUI-noder

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.