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replicate/cog-real-esrgan

Description: Cog implementation of Real-ESRGAN

Language: Python

License: BSD-3-Clause

Stars: 3

Forks: 2

Open issues: 0

Created: 2024-07-23T04:53:15Z

Pushed: 2024-09-05T19:52:13Z

Default branch: main

Fork: no

Archived: no

README:

##

🔥 AnimeVideo-v3 model (动漫视频小模型). Please see [[*anime video models*](docs/anime_video_model.md)] and [[*comparisons*](docs/anime_comparisons.md)]

🔥 RealESRGAN_x4plus_anime_6B for anime images (动漫插图模型). Please see [[*anime_model*](docs/anime_model.md)]

1. Portable Windows / Linux / MacOS executable files for Intel/AMD/Nvidia GPU. You can find more information [here](#portable-executable-files-ncnn). The ncnn implementation is in Real-ESRGAN-ncnn-vulkan

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.

🌌 Thanks for your valuable feedbacks/suggestions. All the feedbacks are updated in [feedback.md](docs/feedback.md).

---

If Real-ESRGAN is helpful, please help to ⭐ this repo or recommend it to your friends 😊

Other recommended projects:

▶️ GFPGAN: A practical algorithm for real-world face restoration

▶️ BasicSR: An open-source image and video restoration toolbox

▶️ facexlib: A collection that provides useful face-relation functions.

▶️ HandyView: A PyQt5-based image viewer that is handy for view and comparison

▶️ HandyFigure: Open source of paper figures

---

📖 Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

> [Paper]   [YouTube Video]   [B站讲解]   [Poster]   [PPT slides]

> Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan

> Tencent ARC Lab; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

---

🚩 Updates

  • ✅ Add the realesr-general-x4v3 model - a tiny small model for general scenes. It also supports the -dn option to balance the noise (avoiding over-smooth results). -dn is short for denoising strength.
  • ✅ Update the RealESRGAN AnimeVideo-v3 model. Please see [anime video models](docs/anime_video_model.md) and [comparisons](docs/anime_comparisons.md) for more details.
  • ✅ Add small models for anime videos. More details are in [anime video models](docs/anime_video_model.md).
  • ✅ Add the ncnn implementation Real-ESRGAN-ncnn-vulkan.
  • ✅ Add *RealESRGAN_x4plus_anime_6B.pth*, which is optimized for anime images with much smaller model size. More details and comparisons with waifu2x are in [anime_model.md](docs/anime_model.md)
  • ✅ Support finetuning on your own data or paired data (*i.e.*, finetuning ESRGAN). See [here](docs/Training.md#Finetune-Real-ESRGAN-on-your-own-dataset)
  • ✅ Integrate GFPGAN to support face enhancement.
  • ✅ Integrated to Huggingface Spaces with Gradio. See Gradio Web Demo. Thanks @AK391
  • ✅ Support arbitrary scale with --outscale (It actually further resizes outputs with LANCZOS4). Add *RealESRGAN_x2plus.pth* model.
  • ✅ [The inference code](inference_realesrgan.py) supports: 1) tile options; 2) images with alpha channel; 3) gray images; 4) 16-bit images.
  • ✅ The training codes have been released. A detailed guide can be found in [Training.md](docs/Training.md).

---

👀 Demos Videos

Bilibili

YouTube

🔧 Dependencies and Installation

Installation

1. Clone repo

git clone https://github.com/xinntao/Real-ESRGAN.git
cd Real-ESRGAN

1. Install dependent packages

# Install basicsr - https://github.com/xinntao/BasicSR
# We use BasicSR for both training and inference
pip install basicsr
# facexlib and gfpgan are for face enhancement
pip install facexlib
pip install gfpgan
pip install -r requirements.txt
python setup.py develop

---

⚡ Quick Inference

There are usually three ways to inference Real-ESRGAN.

1. [Online inference](#online-inference) 1. [Portable executable files (NCNN)](#portable-executable-files-ncnn) 1. [Python script](#python-script)

Online inference

1. You can try in our website: ARC Demo (now only support RealESRGAN_x4plus_anime_6B) 1. Colab Demo for Real-ESRGAN | Colab Demo for Real-ESRGAN (anime videos).

Portable executable files (NCNN)

You can download…

Excerpt shown — open the source for the full document.

Notability

notability 2.0/10

Low traction routine repo