# ComfyUI-Latent-splitter

A ComfyUI custom node that splits a latent into **2** (left/right or top/bottom)
or **4** tiles along its spatial axes.

It is model-agnostic — it only slices the height/width of the `[B, C, H, W]`
latent tensor, so it works with SD/SDXL (4-channel) and Flux / **FLUX.1 Krea**
(16-channel) latents alike. A `1024×1024` image (a `128×128` latent) splits into
two `512×1024` halves or four `512×512` quadrants.

## Node: Latent Split (2 / 4)

**Category:** `latent`

**Inputs**

| Input  | Type   | Notes |
|--------|--------|-------|
| `samples` | LATENT | The latent to split. |
| `mode` | choice | `left / right`, `top / bottom`, or `quad (4)`. |

**Outputs** — filled in reading (row-major) order:

| Mode | latent_1 | latent_2 | latent_3 | latent_4 |
|------|----------|----------|----------|----------|
| `left / right` | left  | right  | — | — |
| `top / bottom` | top   | bottom | — | — |
| `quad (4)`     | top-left | top-right | bottom-left | bottom-right |

Unused outputs (3 and 4 in the two-way modes) return `None` — leave them
unconnected. Odd latent dimensions split with the extra row/column going to the
second tile. The batch dimension and any `noise_mask` are preserved (the mask is
sliced to match each tile).

## Install

Clone into your ComfyUI `custom_nodes` directory:

```bash
cd ComfyUI/custom_nodes
git clone https://github.com/ethanfel/ComfyUI-Split-Latent.git
```

No extra dependencies — it uses the PyTorch that ships with ComfyUI. Restart
ComfyUI and find the node under **Add Node → latent → Latent Split (2 / 4)**.