Adds a new node that concatenates segment video files (produced by
VHS Video Combine) into a single video using ffmpeg's concat demuxer
with -c copy (no re-encoding). The model input acts as a sequencing
signal to ensure all segments finish before concatenation begins.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Processes numbered segments of the input batch so users can chain
multiple instances with Save nodes between them, freeing each segment's
output before the next starts. Model pass-through output forces
sequential execution via ComfyUI's dependency graph.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
First startup may appear to hang while cupy (~800MB) installs.
Document manual fallback for environments where auto-install fails.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- chunk_size input splits input into overlapping segments processed
independently then stitched, bounding memory for 1000+ frame videos
while producing identical results to processing all at once
- Fix cache clearing logic: use counter instead of modulo so it triggers
regardless of batch_size value
- Replace inefficient torch.cat gather with direct tensor slicing
- Add README with usage guide, VRAM recommendations, and full
attribution to BiM-VFI (Seo, Oh, Kim — CVPR 2025, KAIST VIC Lab)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Processes multiple frame pairs simultaneously instead of one-by-one.
New batch_size input (1-64) lets users trade VRAM for speed.
Refactored pyr_level logic into shared _get_pyr_level() helper.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When enabled (default), automatically picks the optimal pyr_level
based on input height: <540p=3, 540p=5, 1080p=6, 4K=7.
When disabled, uses the manual pyr_level value.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Previously the user's pyr_level was overridden for >=540p content.
Now the setting is always used, with the tooltip recommending values
per resolution instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Detects missing deps when ComfyUI imports the node and installs
them automatically via pip. No manual steps needed in Docker.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
install.py now updates requirements.txt with the correct cupy-cuda
package matching PyTorch's CUDA version before running pip install.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
cupy was imported at module level, causing ComfyUI to fail loading
the node entirely if cupy wasn't installed yet. Now deferred to
first actual CUDA kernel call, with a clear error message.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Wraps BiM-VFI (CVPR 2025) as a ComfyUI custom node for long video
frame interpolation with memory-safe sequential processing.
- LoadBIMVFIModel: checkpoint loader with auto-download from Google Drive
- BIMVFIInterpolate: 2x/4x/8x recursive interpolation with per-pair
GPU processing, configurable VRAM management (all_on_gpu for high-VRAM
setups), progress bar, and backwarp cache clearing
- Vendored inference-only architecture from KAIST-VICLab/BiM-VFI
- Auto-detection of CUDA version for cupy installation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
