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# 🦊 RS Image to Latent
**A powerful and user-friendly ComfyUI node that converts images to latents with intelligent size optimization.**
### 🔥 Features
- **Multiple sizing modes** - Auto, Preset, Custom, or Megapixels
- **VAE-aware** - Automatically detects divisibility requirements
- **Batch processing** - Create multiple identical latents at once
- **Smart upscaling** - Choose from multiple upscale methods
- **Clean interface** - No technical clutter, just what you need
### 🪛 Usage
Resolution control - Ensure consistent sizes across your workflow
VRAM optimization - Use megapixels mode to stay within limits
Auto mode - Preserves original proportions
Batch generation - Create multiple variations from one image
### 🎯 Modes Explained
**Auto**
Preserves original image size and only rounds to meet VAE divisibility requirements. No unexpected upscaling.
**Preset**
Choose from 50+ common resolutions including:
- Square: 512×512 to 1920×1920
- Portrait: 3:2, 3:4, 9:16 and more
- Landscape: 4:3, 16:9, 21:9 and more
**Custom**
Manually enter width and height (must be multiples of 8).
**Megapixels**
Set target megapixels with specific aspect ratio. Perfect for controlling VRAM usage.
### 🔧 Rounding Modes
- auto - Picks the nearest valid size (recommended)
- shrink - Only reduces size, never increases
- expand - Only increases size, never reduces
### ↔️ Input and output:
Input:
image - Input image to convert to latent
vae - VAE model for encoding (auto-detects divisibility)
Output:
latent - The encoded latent tensor
width_px - Final width in pixels
height_px - Final height in pixels
width_latent - Latent width (width/8)
height_latent - Latent height (height/8)
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# 🦊 RS Crop Image and 🦊 RS Insert Crop
**An interactive node for selecting and cropping images in ComfyUI with a pause in the process. With further insertion of the cut fragment after its modification back into the original image.**