SD v1 5 Inpainting Coreml
creativeml-openrail-m
Source du modèle
- Type
- Other
- Taille du fichier
- 243 B–1,60 GB
- Modèle de base
- runwayml/stable-diffusion-inpainting
- Version
- vCoremldata
- Mis à jour
- 19 oct. 2026
- Source
- Hugging Face
Description de la source
Stable Diffusion 1.5 Inpainting (Core ML)
This is a Core ML conversion of Stable Diffusion v1.5 Inpainting optimized for on-device inference on Apple Silicon.
Model Details
| Property | Value |
|---|---|
| Original Model | Stable Diffusion v1.5 Inpainting |
| 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
- Inpainting Tasks: Fill in masked areas of images
- Object Removal: Remove unwanted objects from photos
- Creative Editing: Artistic transformations of image regions
Capabilities
- Mask-based Editing: Paint areas to regenerate
- Seamless Blending: Natural integration with original content
- Artistic Styles: Works well with stylized content
- Fast Inference: Lighter than SD 2.1, quicker iterations
Bundle Contents
TextEncoder.mlmodelc- CLIP text encoderUnet.mlmodelc- 9-channel UNet (latent + masked image + mask)VAEDecoder.mlmodelc- Variational autoencoder decoderVAEEncoder.mlmodelc- Variational autoencoder encodervocab.json- Tokenizer vocabularymerges.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
- Original Model: Stable Diffusion v1.5 Inpainting by Runway ML
- Core ML Conversion: jc-builds
Sources
1 source
Sources
1 sourceVérifié 19 oct.
Artefacts du modèle
12 artefacts
Artefacts du modèle
12 artefactsTextEncoder.mlmodelc/analytics/coremldata.bin
bin · 243 B · SHA-256 66c84098c4bc…2dfe · Hugging Face
TéléchargerTextEncoder.mlmodelc/coremldata.bin
bin · 994 B · SHA-256 a700f7ce3317…e62a · Hugging Face
TéléchargerTextEncoder.mlmodelc/weights/weight.bin
bin · 235 MB · SHA-256 b3e8699e18a3…2ddb · Hugging Face
TéléchargerUnet.mlmodelc/analytics/coremldata.bin
bin · 243 B · SHA-256 f15a626ca227…78bf · Hugging Face
TéléchargerVAEDecoder.mlmodelc/analytics/coremldata.bin
bin · 243 B · SHA-256 3e8795c9ebea…9e2b · Hugging Face
TéléchargerVAEDecoder.mlmodelc/weights/weight.bin
bin · 94,4 MB · SHA-256 ca45a093443d…c752 · Hugging Face
TéléchargerVAEEncoder.mlmodelc/analytics/coremldata.bin
bin · 243 B · SHA-256 11bc30df398e…b4ea · Hugging Face
TéléchargerVAEEncoder.mlmodelc/weights/weight.bin
bin · 65,2 MB · SHA-256 71bf826e5ee1…dc64 · Hugging Face
TéléchargerExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: other license_name: creativeml-openrail-m license_link: https://huggingface.co/runwayml/stable-diffusion-inpainting/blob/main/LICENSE base_model: runwayml/stable-diffusion-inpainting pipeline_tag: image-to-image tags: - coreml - stable-diffusion - inpainting - ios - macos - apple-silicon - image-editing --- # Stable Diffusion 1.5 Inpainting (Core ML) This is a **Core ML conversion** of [Stable Diffusion v1.5 Inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting) optimized for on-device inference on Apple Silicon. ## Model Details | Property | Value | |----------|-------| | **Original Model** | Stable Diffusion v1.5 Inpainting | | **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 - **Inpainting Tasks**: Fill in masked areas of images - **Object Removal**: Remove unwanted objects from photos - **Creative Editing**: Artistic transformations of image regions ## Capabilities - **Mask-based Editing**: Paint areas to regenerate - **Seamless Blending**: Natural integration with original content - **Artistic Styles**: Works well with stylized content - **Fast Inference**: Lighter than SD 2.1, quicker iterations ## Bundle Contents - `TextEncoder.mlmodelc` - CLIP text encoder - `Unet.mlmodelc` - 9-channel UNet (latent + masked image + mask) - `VAEDecoder.mlmodelc` - Variational autoencoder decoder - `VAEEncoder.mlmodelc` - Variational autoencoder encoder - `vocab.json` - Tokenizer vocabulary - `merges.txt` - BPE merges ## Usage Compatible with Apple's [ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) framework and iOS apps using Core ML. ## License This model is released under the **CreativeML Open RAIL-M** license. ## Attribution - **Original Model**: [Stable Diffusion v1.5 Inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting) by Runway ML - **Core ML Conversion**: jc-builds
Source context: 0 downloads · 2 likes · Pipeline image-to-image · Repo jc-builds/sd-v1-5-inpainting-coreml
