33 lines
1.6 KiB
Markdown
33 lines
1.6 KiB
Markdown
## TT VAE Decode (Tiled) *TT_VaeDecodeTiled*
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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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Tiled VAE decoder for processing large images without running out of VRAM.
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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 decoding |
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| `latent` | LATENT | Yes | Latent image to decode |
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| `tile_width` | INT | Yes | Width of each tile in pixels (320-4096, step: 64, default: 512) |
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| `tile_height` | INT | Yes | Height of each tile in pixels (320-4096, step: 64, default: 512) |
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| `overlap` | INT | Yes | Overlap between tiles to reduce seams (0-256, step: 8, default: 64) |
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| `circular` | BOOLEAN | Yes | Enable circular padding for seamless tiling (default: False) |
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### Outputs
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| Parameter | Type | Description |
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|-----------|-------|----------------------|
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| `IMAGE` | IMAGE | Decoded image tensor |
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### Usage
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Decode large latent images by processing them in smaller tiles. Useful for generating high-resolution images that would
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otherwise exceed VRAM capacity. The overlap parameter helps reduce visible seams between tiles. Enable circular padding
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for seamless texture generation.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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