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
35 lines
1.6 KiB
Markdown
35 lines
1.6 KiB
Markdown
## TT VAE Encode (Tiled) *TT_VaeEncodeTiled*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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Encodes large images to latent space using tiled processing to reduce VRAM usage.
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### Inputs
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| Parameter | Type | Required | Description |
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|---------------|-------|----------|-----------------------------------------------------|
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| `vae` | VAE | Yes | VAE model for encoding |
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| `image` | IMAGE | Yes | Input image to encode |
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| `tile_width` | INT | Yes | Width of processing tiles in pixels (default: 512) |
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| `tile_height` | INT | Yes | Height of processing tiles in pixels (default: 512) |
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| `overlap` | INT | Yes | Overlap between tiles in pixels (default: 64) |
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### Outputs
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| Parameter | Type | Description |
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|-----------|--------|-------------------------------|
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| `LATENT` | LATENT | Encoded latent representation |
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### Usage
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Processes large images in smaller tiles to reduce memory requirements during VAE encoding. Useful for encoding
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high-resolution images that would otherwise cause out-of-memory errors.
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Tile size should be set based on available VRAM (smaller tiles = less memory). Overlap prevents visible seams at tile
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boundaries - higher overlap produces smoother results but increases processing time. Recommended overlap is 10-15% of
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tile size.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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