Ethanfel
db64fc195a
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>
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
import subprocess
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import sys
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import os
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def get_cupy_package():
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"""Detect PyTorch's CUDA version and return the matching cupy package name."""
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try:
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import torch
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if not torch.cuda.is_available():
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print("[BIM-VFI] WARNING: CUDA not available. cupy requires CUDA.")
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return None
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cuda_version = torch.version.cuda
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if cuda_version is None:
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print("[BIM-VFI] WARNING: PyTorch has no CUDA version info.")
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return None
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major = cuda_version.split(".")[0]
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major = int(major)
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cupy_pkg = f"cupy-cuda{major}x"
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print(f"[BIM-VFI] Detected CUDA {cuda_version}, will use {cupy_pkg}")
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return cupy_pkg
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except Exception as e:
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print(f"[BIM-VFI] WARNING: Could not detect CUDA version: {e}")
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return None
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def install():
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requirements_path = os.path.join(os.path.dirname(__file__), "requirements.txt")
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subprocess.check_call([
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sys.executable, "-m", "pip", "install", "-r", requirements_path
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])
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# Install cupy matching the current CUDA version
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try:
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import cupy
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print("[BIM-VFI] cupy already installed, skipping.")
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except ImportError:
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cupy_pkg = get_cupy_package()
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if cupy_pkg:
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print(f"[BIM-VFI] Installing {cupy_pkg} to match PyTorch CUDA...")
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subprocess.check_call([
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sys.executable, "-m", "pip", "install", cupy_pkg
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])
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if __name__ == "__main__":
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install()
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