| --- |
| 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`). |
|
|
