Add MewZoom_V1_UNet_x4_int8 (8-bit weights)
Browse files- MewZoom_V1_UNet_x4_int8.onnx +3 -0
- README.md +28 -26
MewZoom_V1_UNet_x4_int8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c9d5d1eb8d5295ce2cace2054f1ece2c0d8d149f1c36b500af34806a67655c2
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size 129866207
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README.md
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@@ -19,37 +19,39 @@ Each model is the original author's weights converted to ONNX by upscale's
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`python/export_onnx.py`: opset and input/output naming are the same across all of them, and
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height and width are dynamic so an image can be run whole or in tiles. Most come in two
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precisions, `<name>.onnx` (float32 weights) and `<name>_fp16.onnx` (float16 weights, float32
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input and output), which give the same picture to within one 8-bit level.
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**Nothing here was trained by this organization.** Every file is a conversion, and each
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remains under the license its author released the original weights under - follow the source
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link for the terms, which for some models restrict commercial use.
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| Model | Scale | fp32 | fp16 | Architecture | Original weights |
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| --- | --- | --- | --- | --- | --- |
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| `APISR_GRL_x4` | x4 | 27.1 MB | 17.5 MB | GRL | [HikariDawn/APISR](https://huggingface.co/HikariDawn/APISR) |
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| `APISR_RRDB_x2` | x2 | 18.7 MB | 9.8 MB | RRDBNet-6B | [HikariDawn/APISR](https://huggingface.co/HikariDawn/APISR) |
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| 32 |
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| `AnimeSharpV2_ESRGAN_Soft_x2` | x2 | 70.0 MB | 36.6 MB | ESRGAN | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_MoSR_Sharp_x2` | x2 | 18.0 MB | 9.4 MB | MoSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_MoSR_Soft_x2` | x2 | 18.0 MB | 9.4 MB | MoSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_RPLKSR_Sharp_x2` | x2 | 30.8 MB | 16.1 MB | RealPLKSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_RPLKSR_Soft_x2` | x2 | 30.8 MB | 16.1 MB | RealPLKSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV3_x2` | x2 | 70.0 MB | 36.6 MB | ESRGAN | [Kim2091/AnimeSharpV3](https://huggingface.co/Kim2091/AnimeSharpV3) |
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| `BSRGAN_x2` | x2 | 69.7 MB | 36.4 MB | RRDBNet | [kadirnar/BSRGANx2](https://huggingface.co/kadirnar/BSRGANx2) |
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| `MewZoom_V1_UNet_x4` | x4 | 517.2 MB | 258.9 MB | MewZoom U-Net | [andrewdalpino/MewZoom-V1-4X-Unet](https://huggingface.co/andrewdalpino/MewZoom-V1-4X-Unet) |
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| `RealESRGAN_anime_x4` | x4 | 18.7 MB | 9.8 MB | RRDBNet-6B | [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) |
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| `RealESRGAN_x2` | x2 | 70.0 MB | 36.6 MB | RRDBNet | [ai-forever/Real-ESRGAN](https://huggingface.co/ai-forever/Real-ESRGAN) |
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| `RealESRGAN_x4` | x4 | 69.9 MB | 36.5 MB | RRDBNet | [ai-forever/Real-ESRGAN](https://huggingface.co/ai-forever/Real-ESRGAN) |
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| `RealESRGAN_x4plus` | x4 | 69.9 MB | 36.5 MB | RRDBNet | [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) |
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| `RealESRGAN_x8` | x8 | 70.0 MB | 36.6 MB | RRDBNet | [ai-forever/Real-ESRGAN](https://huggingface.co/ai-forever/Real-ESRGAN) |
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| `RealESR_General_x4` | x4 | 5.0 MB | 2.5 MB | SRVGGNetCompact | [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) |
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| `RealWebPhoto_RGT_x4` | x4 | 92.3 MB | - | RGT | [Phips/4xRealWebPhoto_RGT](https://huggingface.co/Phips/4xRealWebPhoto_RGT) |
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| `Swin2SR_Classical_x2` | x2 | 72.4 MB | 40.0 MB | Swin2SR | [mv-lab/swin2sr](https://github.com/mv-lab/swin2sr) |
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| `Swin2SR_Classical_x4` | x4 | 73.0 MB | 40.3 MB | Swin2SR | [mv-lab/swin2sr](https://github.com/mv-lab/swin2sr) |
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| `Swin2SR_RealWorld_x4` | x4 | 72.3 MB | 39.9 MB | Swin2SR | [mv-lab/swin2sr](https://github.com/mv-lab/swin2sr) |
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| `SwinIR_BSRGAN_x4` | x4 | 55.2 MB | - | SwinIR-M | [mikestealth/SwinIR](https://huggingface.co/mikestealth/SwinIR) |
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| `UltraMix_Smooth_x4` | x4 | 69.9 MB | 36.5 MB | ESRGAN | [Kim2091/UltraSharp](https://huggingface.co/Kim2091/UltraSharp) |
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| `UltraSharp_x4` | x4 | 69.9 MB | 36.5 MB | ESRGAN | [Kim2091/UltraSharp](https://huggingface.co/Kim2091/UltraSharp) |
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## Using a file directly
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`python/export_onnx.py`: opset and input/output naming are the same across all of them, and
|
| 20 |
height and width are dynamic so an image can be run whole or in tiles. Most come in two
|
| 21 |
precisions, `<name>.onnx` (float32 weights) and `<name>_fp16.onnx` (float16 weights, float32
|
| 22 |
+
input and output), which give the same picture to within one 8-bit level. A few also come as
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`<name>_int8.onnx`: 8-bit weights, turned back to float32 as the network runs, a quarter of the
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size and within two levels of float32.
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**Nothing here was trained by this organization.** Every file is a conversion, and each
|
| 27 |
remains under the license its author released the original weights under - follow the source
|
| 28 |
link for the terms, which for some models restrict commercial use.
|
| 29 |
|
| 30 |
+
| Model | Scale | fp32 | fp16 | int8 | Architecture | Original weights |
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| 31 |
+
| --- | --- | --- | --- | --- | --- | --- |
|
| 32 |
+
| `APISR_GRL_x4` | x4 | 27.1 MB | 17.5 MB | - | GRL | [HikariDawn/APISR](https://huggingface.co/HikariDawn/APISR) |
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| 33 |
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| `APISR_RRDB_x2` | x2 | 18.7 MB | 9.8 MB | - | RRDBNet-6B | [HikariDawn/APISR](https://huggingface.co/HikariDawn/APISR) |
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| 34 |
+
| `AnimeSharpV2_ESRGAN_Soft_x2` | x2 | 70.0 MB | 36.6 MB | - | ESRGAN | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_MoSR_Sharp_x2` | x2 | 18.0 MB | 9.4 MB | - | MoSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_MoSR_Soft_x2` | x2 | 18.0 MB | 9.4 MB | - | MoSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_RPLKSR_Sharp_x2` | x2 | 30.8 MB | 16.1 MB | - | RealPLKSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV2_RPLKSR_Soft_x2` | x2 | 30.8 MB | 16.1 MB | - | RealPLKSR | [Kim2091/AnimeSharpV2](https://huggingface.co/Kim2091/AnimeSharpV2) |
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| `AnimeSharpV3_x2` | x2 | 70.0 MB | 36.6 MB | - | ESRGAN | [Kim2091/AnimeSharpV3](https://huggingface.co/Kim2091/AnimeSharpV3) |
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| `BSRGAN_x2` | x2 | 69.7 MB | 36.4 MB | - | RRDBNet | [kadirnar/BSRGANx2](https://huggingface.co/kadirnar/BSRGANx2) |
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+
| `MewZoom_V1_UNet_x4` | x4 | 517.2 MB | 258.9 MB | 129.9 MB | MewZoom U-Net | [andrewdalpino/MewZoom-V1-4X-Unet](https://huggingface.co/andrewdalpino/MewZoom-V1-4X-Unet) |
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| `RealESRGAN_anime_x4` | x4 | 18.7 MB | 9.8 MB | - | RRDBNet-6B | [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) |
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| `RealESRGAN_x2` | x2 | 70.0 MB | 36.6 MB | - | RRDBNet | [ai-forever/Real-ESRGAN](https://huggingface.co/ai-forever/Real-ESRGAN) |
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| `RealESRGAN_x4` | x4 | 69.9 MB | 36.5 MB | - | RRDBNet | [ai-forever/Real-ESRGAN](https://huggingface.co/ai-forever/Real-ESRGAN) |
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| `RealESRGAN_x4plus` | x4 | 69.9 MB | 36.5 MB | - | RRDBNet | [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) |
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| `RealESRGAN_x8` | x8 | 70.0 MB | 36.6 MB | - | RRDBNet | [ai-forever/Real-ESRGAN](https://huggingface.co/ai-forever/Real-ESRGAN) |
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| `RealESR_General_x4` | x4 | 5.0 MB | 2.5 MB | - | SRVGGNetCompact | [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) |
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| `RealWebPhoto_RGT_x4` | x4 | 92.3 MB | - | - | RGT | [Phips/4xRealWebPhoto_RGT](https://huggingface.co/Phips/4xRealWebPhoto_RGT) |
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| `Swin2SR_Classical_x2` | x2 | 72.4 MB | 40.0 MB | - | Swin2SR | [mv-lab/swin2sr](https://github.com/mv-lab/swin2sr) |
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| `Swin2SR_Classical_x4` | x4 | 73.0 MB | 40.3 MB | - | Swin2SR | [mv-lab/swin2sr](https://github.com/mv-lab/swin2sr) |
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| `Swin2SR_RealWorld_x4` | x4 | 72.3 MB | 39.9 MB | - | Swin2SR | [mv-lab/swin2sr](https://github.com/mv-lab/swin2sr) |
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| `SwinIR_BSRGAN_x4` | x4 | 55.2 MB | - | - | SwinIR-M | [mikestealth/SwinIR](https://huggingface.co/mikestealth/SwinIR) |
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+
| `UltraMix_Smooth_x4` | x4 | 69.9 MB | 36.5 MB | - | ESRGAN | [Kim2091/UltraSharp](https://huggingface.co/Kim2091/UltraSharp) |
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| `UltraSharp_x4` | x4 | 69.9 MB | 36.5 MB | - | ESRGAN | [Kim2091/UltraSharp](https://huggingface.co/Kim2091/UltraSharp) |
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## Using a file directly
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|