Add ComfyUI-PipelineBarrier to custom node list

[brosequist]

New Node: ComfyUI-PipelineBarrier

Repository: https://github.com/brosequist/ComfyUI-PipelineBarrier

Description: A single node that flushes PyTorch's GPU memory cache and runs garbage collection between pipeline stages, preventing OOM errors in multi-stage workflows such as two-pass video generation.

What it does

Calls soft_empty_cache(force=True), gc.collect(), torch.cuda.empty_cache(), and torch.cuda.synchronize() on every visible GPU. Accepts a LATENT input and returns it unchanged — it is a pure synchronization point with no effect on tensor values.

Why it's useful

Long multi-stage workflows (e.g. WanVideo two-pass I2V with BlockSwap) can OOM at the start of a second stage even after a model has been offloaded, because PyTorch's allocator caches freed blocks rather than returning them to the OS immediately. Placing this node between stages ensures caches are flushed before the next stage begins.

Checklist

• Node is publicly available on GitHub
• No pip dependencies beyond what ComfyUI already installs
• NODE_CLASS_MAPPINGS and NODE_DISPLAY_NAME_MAPPINGS exported from __init__.py