---
license: openrail++
base_model:
- Guaishou74851/AdcSR
- stabilityai/stable-diffusion-2-1-base
pipeline_tag: image-to-image
tags:
- super-resolution
- coreml
---

# AdcSR ×4 for Core ML

[AdcSR](https://github.com/Guaishou74851/AdcSR) (CVPR 2025, "Adversarial Diffusion Compression for Real-World Image Super-Resolution") converted to Core ML (`mlprogram`, FP32) for use in Instant Slide.

- Input `lr`: `1 × 3 × 128 × 128` Float32, RGB in `[-1, 1]`
- Output `sr`: `1 × 3 × 512 × 512` Float32, RGB in `[-1, 1]`
- Converted with coremltools 9.0 from `net_params_200.pkl` and `halfDecoder.ckpt`; minimum deployment target macOS 15 / iOS 18
- Run on `cpuAndGPU`. FP16 (including the Neural Engine) produces broken output.
- Large images are processed as overlapping tiles (16 px overlap, feathered blend), then the per-channel mean/std is matched to the input.

## License

The weights are derived from Stable Diffusion 2.1 and are distributed under the
CreativeML Open RAIL++-M License dated November 24, 2022 (`LICENSE`), including its use-based
restrictions (Attachment A). You must not use this model for the restricted uses, and you must
require your users to comply with them. The AdcSR source code is Apache-2.0 (`LICENSE-AdcSR-code`).