TenserTensor
f84e17ba0a
Implement VAE decoding nodes: - vae_decode_context.py: context-based VAE decoder - vae_decode_tiled.py: tiled VAE decoder for large images with VRAM optimization Add markdown documentation for VAE decoder nodes
1.1 KiB
1.1 KiB
TT_VaeDecodeContext
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Context-based VAE decoder that extracts latent and VAE from context.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
context |
TT_CONTEXT | Yes | Context containing VAE and latent image |
Outputs
| Parameter | Type | Description |
|---|---|---|
CONTEXT |
TT_CONTEXT | Updated context with decoded image added |
IMAGE |
IMAGE | Decoded image tensor |
Usage
Simplified decoder for context-based workflows. Automatically extracts VAE and latent from context, decodes to image space, and stores the result back in context. Handles nested tensors and reshapes output to standard format. Raises error if VAE or latent is missing from context.