---
license: mit
base_model: TensorForger/RIFE-safetensors
pipeline_tag: image-to-image
library_name: coreai
tags:
- coreai
- core-ai
- coreai-fabric
- aimodel
- coreml
- apple
- apple-silicon
- on-device
- frame-interpolation
- video
- image-to-image
---

> **Canonical:** [`kevinqz/RIFE-Frame-Interpolation-CoreAI`](https://huggingface.co/kevinqz/RIFE-Frame-Interpolation-CoreAI) — source of truth. 

# RIFE Frame Interpolation (fabric)

An Apple Core AI conversion of
[TensorForger/RIFE-safetensors](https://huggingface.co/TensorForger/RIFE-safetensors) — a **frame
interpolation** network that takes two stacked RGB frames and synthesizes the
**intermediate frame** between them. Produced by [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/rife-4-interp.yaml) and
indexed by [coreai-catalog](https://github.com/kevinqz/coreai-catalog).

> **Frame interpolation, not a generator.** This is a single-forward interpolator — two frames in, one synthesized frame at t=0.5 out. No temporal model, no audio. The **host owns** frame decode/encode and resizing each frame to a multiple of 32 before feeding the graph.

## Model facts

| Field | Value |
|---|---|
| Parameters | 0.01B |
| Architecture | cnn/transformer |
| Capabilities | super-resolution |
| Input | 1×6×256×256 — concat(img0[:3], img1[3:]) in [0,1] |
| Output frame | 1×3×256×256 @ t=0.5 |
| Quantization / precision | none / float32 |
| On-disk size | 17 MB |
| Asset kind | single-graph frame interpolator (two frames -> middle frame) |
| assetVersion | 2.0 |


## Use it — this needs host code you supply

The bundle is a single static-size graph: `frames` (1×6×256×256, `img0` and `img1` concatenated on the channel axis, RGB in [0,1]) in → the interpolated `frame` (1×3×256×256) out. **You supply** the video demux/mux, frame resizing, and any multi-t or recursive-interpolation loop in your host code (Swift or Python).

```bash
pip install coreai-catalog && coreai-catalog install rife-4-interp
```

## Requirements

- **Deployment: macOS 27.0+ / iOS 27.0+, Xcode 27+.** The asset serializes with `minimum_os v27`,
  so the on-device Swift runtime requires macOS/iOS 27+. A Mac on macOS 26 can
  convert and inspect it but not run it on-device.
- Apple Silicon.

## Verification (output parity)

- **Gate A (structure): passed** — the bundle's layout + metadata were
  validated; the graph loads.
- **Gate B — graph_output_cosine: 1.000000 min output cosine** (median 1.000000) vs the fp32 torch reference network over 8 seeded frame pairs, measured on apple_silicon. Certifies the export computes the SAME output as the source — a conversion-fidelity metric, not task accuracy.
- This certifies the export is **numerically faithful to the source network** — it
  does **NOT** certify perceptual interpolation quality on your footage. Reproduce
  with `coreai-fabric verify`.

## Provenance

| Field | Value |
|---|---|
| Base model | [TensorForger/RIFE-safetensors](https://huggingface.co/TensorForger/RIFE-safetensors) @ `78a62b7c2dd910536432d6c2c3a25e76f14fbf78` |
| Converted by | `models/rife/export.py` (version not reported) |
| Recipe | [rife-4-interp](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/rife-4-interp.yaml) (recipe_source: fabric) |
| Precision / quantization | float32 / none |
| Conversion date | 2026-07-10 |

Machine-readable, in this repo:
[`parity-report.json`](./parity-report.json) ·
[`reproduce-manifest.json`](./reproduce-manifest.json) · [`LICENSE`](./LICENSE).

## License and attribution

Weights licensed **mit** — see the bundled `LICENSE`. This artifact is a **converted derivative** of the base model: its
weights were converted to Apple Core AI format. The conversion itself is
community work.

## Links

- **Base model:** [TensorForger/RIFE-safetensors](https://huggingface.co/TensorForger/RIFE-safetensors)
- **Reproduce:** [recipe `rife-4-interp`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/rife-4-interp.yaml)
- **Index:** [coreai-catalog](https://github.com/kevinqz/coreai-catalog)
- [HF Collection](https://huggingface.co/collections/kevinqz/coreai-apple-on-device-6a4879f21c7e1a87c99bcf5a)


## The on-device Core AI ecosystem

- [coreai-fabric](https://github.com/kevinqz/coreai-fabric) — the reproducible
  recipe → `.aimodel` pipeline that produced this asset.
- [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the index of Core
  AI models with provenance and integration snippets.
- [apple/coreai-models](https://github.com/apple/coreai-models) — Apple's official
  exporters and runtimes.

## Not affiliated with Apple

Community conversion. Not produced, hosted, or endorsed by Apple. Apple and Core
AI are trademarks of Apple Inc., used here only to describe the target
runtime/format.