These nodes let you process large image/frame batches in smaller execution chunks while preserving batch order and SamplerCustomAdvanced behavior as closely as possible.

Typical workflow:

IMAGE batch -> VAE Encode Batch Chunked -> SamplerCustomAdvanced Chunked -> VAE Decode Batch Chunked

Notes

SamplerCustomAdvanced Chunked reuses the normal guider.sample(...) path per chunk instead of reimplementing denoising logic.
When the input latent has no batch_index and chunking is required, the sampler node synthesizes a sequential internal batch_index so chunked random noise generation stays frame-stable across chunks.
noise_mask batch slicing supports the common ComfyUI broadcast cases (1 mask for the whole batch, or shorter masks that repeat across the full batch).
The sampler node supports OOM fallback by halving the chunk size down to min_chunk_size.

Limitations

This does not add temporal consistency. It only makes large frame batches tractable.
Shared conditioning is the intended v1 use case. Per-frame conditioning batches inside the guider path are not explicitly rewritten by these nodes.
The main target is regular latent batches used for Flux / img2img-style cleanup. Nested latent edge cases are handled conservatively but are not the primary tested path.

Installation

Copy this folder into your ComfyUI custom_nodes directory and restart ComfyUI.