Add Real-ESRGAN-x2plus MLX fp16 (Real-ESRGAN port)
Browse files- README.md +43 -0
- config.json +13 -0
- model.safetensors +3 -0
README.md
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---
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license: bsd-3-clause
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library_name: mlx
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pipeline_tag: image-to-image
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tags:
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- mlx
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- super-resolution
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- real-esrgan
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- image-to-image
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- apple-silicon
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---
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# Real-ESRGAN-x2plus (MLX)
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Apple **MLX** fp16 port of Real-ESRGAN **RealESRGAN_x2plus** (RRDBNet, 脳2),
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for super-resolution on Apple Silicon. Converted from the official
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[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) release checkpoint
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(BSD-3-Clause).
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## Usage
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```bash
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pip install realesrgan-mlx # https://github.com/xocialize/realesrgan-mlx
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realesrgan-mlx -i input.png -o out/ -n RealESRGAN_x2plus
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```
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```python
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from realesrgan_mlx.pipeline_mlx import make_upsampler, upscale_image
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up = make_upsampler("RealESRGAN_x2plus", tile=256) # tile>0 caps memory on large images
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out = upscale_image("input.png", up)
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```
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`make_upsampler` downloads these weights automatically.
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## Details
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- **Architecture**: RRDBNet (`num_feat=64`, `num_block=23`, `num_grow_ch=32`)
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- **Scale**: 脳2 路 **Precision**: fp16
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- **Parity vs PyTorch**: full-forward 2.4e-6 (CPU fp32); fp16 vs fp32 golden 5.5e-4.
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## License
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BSD-3-Clause (upstream Real-ESRGAN, Xintao Wang et al.).
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config.json
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{
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"name": "RealESRGAN_x2plus",
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"arch": "RRDBNet",
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"netscale": 2,
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"num_feat": 64,
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"num_block": 23,
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"num_grow_ch": 32,
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"num_conv": 16,
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"act_type": "prelu",
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"pth_url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
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"wdn_url": "",
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"hf_name": "Real-ESRGAN-x2plus"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:93c875ee5637ca326bae14420fbbb5be8a19f0eb7d3b0c6af08a8ef9c0180020
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size 33472058
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