---
license: unknown
tags:
- stable-diffusion.cpp
- image-upscaling
---

Upscaler models from https://openmodeldb.info/ , converted to GGUF format for [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp).

stable-diffusion.cpp can work with most .pth files directly, but gguf models can be faster to load, and avoid security issues with the .pth format.

See the original URLs for licensing information. This is a straight mechanical conversion, so each model keeps the same license as the original.

| GGUF | original |
|:---|:---|
| [2x-ESRGAN.gguf](./2x-ESRGAN.gguf) | https://openmodeldb.info/models/2x-ESRGAN |
| [4xLSDIRplusC.gguf](./4xLSDIRplusC.gguf) | https://openmodeldb.info/models/4x-LSDIRplusC |
| [4xLSDIRplusN.gguf](./4xLSDIRplusN.gguf) | https://openmodeldb.info/models/4x-LSDIRplusN |
| [4xLSDIRplusR.gguf](./4xLSDIRplusR.gguf) | https://openmodeldb.info/models/4x-LSDIRplusR |
| [4x_Nickelback_70000G.gguf](./4x_Nickelback_70000G.gguf) | https://openmodeldb.info/models/4x-Nickelback |
| [4x_NickelbackFS_72000_G.gguf](./4x_NickelbackFS_72000_G.gguf) |  https://openmodeldb.info/models/4x-NickelbackFS |
| [4xNomos8kSC.gguf](./4xNomos8kSC.gguf) | https://openmodeldb.info/models/4x-Nomos8kSC |
| [4xNomosWebPhoto_esrgan.gguf](./4xNomosWebPhoto_esrgan.gguf) | https://openmodeldb.info/models/4x-NomosWebPhoto-esrgan |
| [RealESRGAN_x4plus.gguf](./RealESRGAN_x4plus.gguf) |  https://openmodeldb.info/models/4x-realesrgan-x4plus |
| [RealESRGAN_x4plus_anime_6B.gguf](./RealESRGAN_x4plus_anime_6B.gguf) | https://openmodeldb.info/models/4x-realesrgan-x4plus-anime-6b |
| [4x_foolhardy_Remacri_ExtraSmoother.gguf](./4x_foolhardy_Remacri_ExtraSmoother.gguf)<br>[4x_foolhardy_Remacri.gguf](./4x_foolhardy_Remacri.gguf)  | https://openmodeldb.info/models/4x-Remacri |
| [4xUltrasharpV10.gguf](./4xUltrasharpV10.gguf) |  https://openmodeldb.info/models/4x-UltraSharp

The models were converted with stable-diffusion.cpp itself:

```shell
./sd-cli --mode convert --model modelfile.pth --output modelfile.gguf
```

A few old .pth files needed to have their format updated first:

```python
import torch
checkpoint = torch.load(r"model.pth",map_location="cpu")
torch.save(checkpoint,r"model_converted.pth",_use_new_zipfile_serialization=True)
```