Custom node for ComfyUI that loads an .mp4 video and outputs two images:

• first frame
• last frame

• Reads a video file from ComfyUI/input (by filename) or from an absolute path.
• Outputs two IMAGE values: FIRST_FRAME and LAST_FRAME.
• Supports drag & drop of an .mp4 directly onto the node (UI feature).

1. Add the node Video: First & Last Frame to your graph.
2. Provide the input video using one of these methods:
   • Set video to a filename from ComfyUI/input.
   • Set video to an absolute path to an .mp4 file.
   • (UI) Drag & drop an .mp4 onto the node. It will upload into ComfyUI/input and set video automatically.
3. Execute the graph.
4. Use outputs FIRST_FRAME and LAST_FRAME (both are ComfyUI IMAGE).

• The core node works in API mode, but drag & drop is UI-only (it adds an upload route + frontend JS).

1. In the ComfyUI, open Manager.
2. Install this node from the list (search by repo name) or paste the repo URL.
3. Restart ComfyUI after installation.

The recommended way to install is via ComfyUI-Manager. Manual install is best treated as a fallback.

1. Copy/clone this repo into ComfyUI/custom_nodes/, for example:

   • ComfyUI/custom_nodes/comfyui-videoframenode (this repo root is the node folder)

2. Run commands inside the same Python environment that ComfyUI uses (usually ComfyUI's venv):

   Windows (PowerShell):

   • Activate venv (example): & "D:\\ComfyUI\\.venv\\Scripts\\Activate.ps1"

     Note: Windows often blocks running .ps1 scripts by default.

     • Option A (temporary for this shell only): Set-ExecutionPolicy -ExecutionPolicy Unrestricted -Scope Process -Force (This applies only to the current PowerShell process; closing the terminal reverts it.)
     • Option B: use the .bat activator instead (works well from CMD): "D:\\ComfyUI\\.venv\\Scripts\\activate.bat"

   • Check what's already installed (recommended before installing anything):

     • python -m pip show opencv-python imageio
     • python -c "import cv2, imageio; print('cv2', cv2.__version__, 'imageio', imageio.__version__)"
     • (optional) python -m pip list | findstr /i "opencv imageio torch"

   • Install deps: pip install -r requirements.txt

   Note about torch / Pylance

   • This node uses torch because ComfyUI images are torch.Tensor.
   • torch is usually already included with ComfyUI, so you typically don't need to install it separately.
   • ComfyUI commonly uses a CUDA-specific build (for example torch-cu130). Installing the plain torch package via pip can override the working CUDA build and break GPU acceleration.
   • For that reason, torch is intentionally commented out in requirements.txt in this repo.
   • If Pylance shows Import "torch" could not be resolved, make sure VS Code is using the same environment (venv) as ComfyUI.

3. Restart ComfyUI.