ComfyUI Node
VAE Encode + Dimensions (Arctenox's Essentials)
Encode an IMAGE to a LATENT via VAE, with dimension pass-through. Outputs: • latent – encoded latent (ready for KSampler / Refiner) • width – source image pixel width (INT) • height – source image pixel height (INT) The dimension outputs let you wire resolution directly into nodes like KSampler Refiner (target_width / target_height) or Cost Estimator without adding a separate Image Dimensions node. Tiled encode reduces peak VRAM for large images at the cost of potentially very subtle seam artifacts at extreme resolutions.
VAE Encode + Dimensions (Arctenox's Essentials)
- image
- vae
- latent
- width
- height
◄tile_encodefalse►
CategoryArctenox Essentials/Latent
Inputs (3)
| Name | Type | Default | Description |
|---|---|---|---|
| image | IMAGE | — | |
| vae | VAE | — | |
| tile_encodeopt | BOOLEAN | false | Use tiled VAE encoding to reduce VRAM usage. Useful for very large images. May produce subtle tile seams on high-contrast edges at extreme sizes. |
Outputs (3)
| Name | Type | Description |
|---|---|---|
| latent | LATENT | — |
| width | INT | — |
| height | INT | — |