## TT Latent MultiTransform *TT_LatentMultiTransformNode* *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 in a single node: scaling, rotation, and flipping. Each transformation can be enabled or disabled independently. ### Inputs | Parameter | Type | Required | Description | |------------------|---------|----------|--------------------------------------------------------| | `latent` | LATENT | Yes | Input latent to transform | | `mask` | MASK | No | Optional noise mask to attach to the latent | | `scale_latent` | BOOLEAN | Yes | Scale latent (Scale) or keep original size (Keep size) | | `scale_factor` | COMBO | No | Scale multiplier (advanced) | | `scale_method` | COMBO | No | Interpolation method for scaling (advanced) | | `rotate_latent` | BOOLEAN | Yes | Rotate latent (Rotate) or keep orientation (Keep) | | `rotate_angle` | COMBO | Yes | Rotation angle in degrees | | `flip_latent` | BOOLEAN | Yes | Flip latent (Flip) or keep orientation (Keep) | | `flip_direction` | COMBO | Yes | Flip axis: horizontal or vertical | ### Outputs | Parameter | Type | Description | |-----------|--------|--------------------| | `LATENT` | LATENT | Transformed latent | ### Usage Apply scale, rotation, and flip to a latent before or after sampling. Transformations are applied in order: scale → rotate → flip. Use the boolean toggles to enable only the transformations you need. --- [View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)