TenserTensor
2453d4d63f
- Add TT VAE Encode (Context) node with documentation - Add TT VAE Encode Tiled node with documentation - Fix default parameter types in TT_ImagePreviewSave (string to int) - Update inputs in TT_VaeDecodeTiled
1.6 KiB
1.6 KiB
TT VAE Encode (Tiled) TT_VaeEncodeTiled
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Encodes large images to latent space using tiled processing to reduce VRAM usage.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
vae |
VAE | Yes | VAE model for encoding |
image |
IMAGE | Yes | Input image to encode |
tile_width |
INT | Yes | Width of processing tiles in pixels (default: 512) |
tile_height |
INT | Yes | Height of processing tiles in pixels (default: 512) |
overlap |
INT | Yes | Overlap between tiles in pixels (default: 64) |
Outputs
| Parameter | Type | Description |
|---|---|---|
LATENT |
LATENT | Encoded latent representation |
Usage
Processes large images in smaller tiles to reduce memory requirements during VAE encoding. Useful for encoding high-resolution images that would otherwise cause out-of-memory errors.
Tile size should be set based on available VRAM (smaller tiles = less memory). Overlap prevents visible seams at tile boundaries - higher overlap produces smoother results but increases processing time. Recommended overlap is 10-15% of tile size.