Realistic Vision V6.0 Inpainting (Core ML)

This is a Core ML conversion of Realistic Vision V6.0 Inpainting - a photorealistic inpainting model optimized for Apple Silicon.

Model Details

Property Value
Original Model Realistic Vision V6.0 B1 Inpaint
Parameters 860 million
Resolution 512x512
Format Core ML (.mlmodelc)
Compute Units CPU + Neural Engine

Intended Use

This model is optimized for:

  • iOS/macOS Deployment: Native Apple Silicon inference
  • Photorealistic Inpainting: Natural-looking edits
  • Portrait Editing: Face and skin retouching
  • Photo Manipulation: Realistic object replacement

Capabilities

  • Photorealistic Output: Superior realism compared to base SD
  • Portrait Specialization: Excellent at faces and skin
  • Detailed Textures: Realistic materials and lighting
  • NSFW Safety Filter: Includes SafetyChecker for content filtering

Bundle Contents

  • TextEncoder.mlmodelc - CLIP text encoder
  • Unet.mlmodelc - 9-channel UNet for inpainting
  • VAEDecoder.mlmodelc - Variational autoencoder decoder
  • VAEEncoder.mlmodelc - Variational autoencoder encoder
  • SafetyChecker.mlmodelc - NSFW content filter
  • vocab.json - Tokenizer vocabulary
  • merges.txt - BPE merges

Usage

Compatible with Apple's ml-stable-diffusion framework and iOS apps using Core ML.

License

This model is released under the CreativeML Open RAIL-M license.

Attribution

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