---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- realistic-vision
- coreml
- apple-neural-engine
- palettized
- tokforge
base_model:
- SG161222/Realistic_Vision_V5.1_noVAE
pipeline_tag: text-to-image
library_name: ml-stable-diffusion
---

## TokForge

- **Website:** https://tokforge.ai
- **Discord:** https://discord.gg/Acv3CBtfVm
- **Google Play:** https://play.google.com/store/apps/details?id=dev.tokforge
- **iOS TestFlight:** https://testflight.apple.com/join/jnufjzRr

Runs on-device in the TokForge app.

# TokForge — Realistic Vision 5.1 · CoreML 6-bit (Apple Neural Engine)

A **6-bit palettized Apple CoreML** conversion of
**[Realistic Vision V5.1](https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE)**
(SG161222, SD-1.5 photoreal finetune), built for on-device image generation in the
**[TokForge](https://tokforge.ai)** iOS app. Converted with Apple
**[`ml-stable-diffusion`](https://github.com/apple/ml-stable-diffusion)** (`torch2coreml`) using
**`SPLIT_EINSUM_V2`** attention and **`--quantize-nbits 6`** — 6-bit palettized weights compile
**fast on the Apple Neural Engine** (the ANE-fast photoreal path, vs the FP16 finetunes >11-min
ANE graph compile).

Part of the **[TokForge iOS · CoreML Image Models](https://huggingface.co/collections/darkmaniac7/tokforge-ios-coreml-image-models-6a38cca9b57803e6168ce232)** collection.

## Files

| File | Size | Contents |
|------|------|----------|
| `RealisticVision-5.1_palettized_split_einsum_v2_compiled.zip` | ~874 MB | The compiled Swift-CLI resource bundle (a single ZIP of `Resources/`) |
| `Resources/` | ~913 MB | `TextEncoder.mlmodelc` / `Unet.mlmodelc` / `VAEDecoder.mlmodelc` / `VAEEncoder.mlmodelc` + `vocab.json` + `merges.txt` |

## Recommended render settings (standard SD-1.5, photoreal)

```
attention:    split_einsum_v2 (Apple Neural Engine)
compute:      .cpuAndNeuralEngine  (palettized -> fast ANE compile)
steps:        20   (8 = fast floor, 40 = extra refinement)
cfg-scale:    7.5
resolution:   512x512  (SD-1.5 native; baked into the compiled model)
```

## How this was built

1. Loaded `SG161222/Realistic_Vision_V5.1_noVAE` (SD-1.5 diffusers; the diffusers conversion
   bundles a working VAE).
2. Converted UNet + text encoder + VAE decoder + VAE encoder to CoreML with Apple
   `ml-stable-diffusion` `python_coreml_stable_diffusion.torch2coreml`,
   `--attention-implementation SPLIT_EINSUM_V2`.
3. Applied **6-bit palettization** (`--quantize-nbits 6`) for the fast iOS-17 ANE compile.
4. Bundled the compiled resources for the Swift CLI (`--bundle-resources-for-swift-cli`).

Conversion peaked at ~10.9 GB RAM (no `--chunk-unet` needed); iOS **17+** (6-bit palettized).

## License & attribution

- **License:** [CreativeML OpenRAIL-M](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
  (inherited from Realistic Vision V5.1 / Stable Diffusion 1.5). Subject to OpenRAIL-M restrictions.
- **Base model:** **Realistic Vision V5.1** by **SG161222** —
  https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE (an SD-1.5 finetune). All credit for
  the model weights is SG161222s.
- **Conversion tooling:** Apple **`ml-stable-diffusion`** —
  https://github.com/apple/ml-stable-diffusion (6-bit palettization, `SPLIT_EINSUM_V2`).
- Built on top of Stable Diffusion 1.5 (Runway/CompVis/Stability).

This repository is a **redistribution for on-device use** — a format conversion (PyTorch ->
CoreML) and 6-bit palettization of SG161222s Realistic Vision V5.1. No weights were retrained.
The original OpenRAIL-M terms and attribution requirements propagate to this conversion and any
images generated with it. No additional restrictions are imposed by this repackaging.