2.0 KiB
2.0 KiB
TT Latent MultiTransform On Pixel Space TT_LatentMultiTransformOnPixelSpaceNode
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Applies multiple geometric transformations to a latent by first decoding it to pixel space, transforming, and re-encoding. Produces better quality results than direct latent manipulation.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
vae |
VAE | Yes | VAE model for decoding and re-encoding the latent |
latent |
LATENT | Yes | Input latent to transform |
mask |
MASK | No | Optional noise mask to attach to the output latent |
scale_latent |
BOOLEAN | Yes | Scale image (Scale) or skip (Skip) |
scale_factor |
COMBO | Yes | Scale multiplier |
scale_method |
COMBO | Yes | Interpolation method for scaling |
rotate_latent |
BOOLEAN | Yes | Rotate image (Rotate) or skip (Skip) |
rotate_angle |
COMBO | Yes | Rotation angle in degrees, clockwise |
flip_latent |
BOOLEAN | Yes | Flip image (Flip) or skip (Skip) |
flip_direction |
COMBO | Yes | Flip axis: horizontal or vertical |
Outputs
| Parameter | Type | Description |
|---|---|---|
LATENT |
LATENT | Transformed and re-encoded latent |
Usage
Decode the latent to pixel space, apply scale, rotation, and flip transformations, then re-encode back to latent space. Transformations are applied in order: scale → rotate → flip. Requires a VAE — use the same VAE that was used to encode the original latent.