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comfyui-node-datatypes

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ComfyUI data types - IMAGE, LATENT, MASK, CONDITIONING, MODEL, CLIP, VAE, AUDIO, VIDEO, 3D types, widget types, and custom types. Use when working with ComfyUI tensors, model types, or defining input/output data types.

plugins/comfyui-custom-nodes/skills/comfyui-node-datatypes/SKILL.md

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# ComfyUI Data Types

ComfyUI uses specific data types for node inputs and outputs. Understanding tensor shapes and data formats is essential.

## Complete Type Reference

### Tensor/Data Types

| Type | V3 Class | Format | Description |
|---|---|---|---|
| IMAGE | `io.Image` | `torch.Tensor [B,H,W,C]` float32 0-1 | Batch of RGB images |
| MASK | `io.Mask` | `torch.Tensor [H,W]` or `[B,H,W]` float32 0-1 | Grayscale masks |
| LATENT | `io.Latent` | `{"samples": Tensor[B,C,H,W] or [B,C,T,H,W], "noise_mask"?: Tensor, "batch_index"?: list[int], "type"?: str}` | Latent space (4D image / 5D video) |
| CONDITIONING | `io.Conditioning` | `list[tuple[Tensor, PooledDict]]` | Text conditioning with pooled outputs |