Add source_fps/target_fps inputs to all 4 Interpolate and Segment nodes
(BIM, EMA, SGM, GIMM). When target_fps > 0, auto-computes optimal
power-of-2 oversample, runs existing recursive t=0.5 interpolation,
then selects frames at target timestamps. Handles downsampling (no
model calls), same-fps passthrough, and high ratios (e.g. 3→30fps).
Segment boundary logic uses global index computation for gap-free
stitching. When target_fps=0, existing multiplier behavior is preserved.
Remove video preview from TweenConcatVideos: drop preview input,
delete web/js/tween_preview.js, remove WEB_DIRECTORY from __init__.py.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Integrates GIMM-VFI alongside existing BIM/EMA/SGM models. Key feature: generates
all intermediate frames in one forward pass (no recursive 2x passes needed for 4x/8x).
- Vendor gimm_vfi_arch/ from kijai/ComfyUI-GIMM-VFI with device fixes
- Two variants: RAFT-based (~80MB) and FlowFormer-based (~123MB)
- Auto-download checkpoints from HuggingFace (Kijai/GIMM-VFI_safetensors)
- Three new nodes: Load GIMM-VFI Model, GIMM-VFI Interpolate, GIMM-VFI Segment Interpolate
- single_pass toggle: True=arbitrary timestep (default), False=recursive like other models
- ds_factor parameter for high-res input downscaling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The gifs ui dict requires custom JS to render — ComfyUI doesn't
handle it natively. Adds a minimal video preview widget that uses
ComfyUI's /view endpoint to play the concatenated video on the node.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The concat node is model-agnostic (just joins video segments via
ffmpeg), so it shouldn't be under BIM-VFI. Now accepts any model type
as the dependency input and lives under the video/Tween category.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update logger names, install prefixes, README clone instructions, and
error messages to reflect the new repo name. Model-specific node names
and categories (BIM-VFI, EMA-VFI, SGM-VFI) are unchanged.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
SGM-VFI combines local flow estimation with sparse global matching
(GMFlow) to handle large motion and occlusion-heavy scenes. Adds 3 new
nodes: Load SGM-VFI Model, SGM-VFI Interpolate, SGM-VFI Segment
Interpolate. Architecture files vendored from MCG-NJU/SGM-VFI with
device-awareness fixes (no hardcoded .cuda()), relative imports, and
debug code removed. README updated with model comparison table.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Integrate EMA-VFI alongside existing BIM-VFI with three new ComfyUI nodes:
Load EMA-VFI Model, EMA-VFI Interpolate, and EMA-VFI Segment Interpolate.
Architecture files vendored from MCG-NJU/EMA-VFI with device-awareness
fixes (removed hardcoded .cuda() calls), warp cache management, and
relative imports. InputPadder extended to support EMA-VFI's replicate
center-symmetric padding. Auto-installs timm dependency on first load.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
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>
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>
