CodeFormer VS nix-stable-diffusion

Compare CodeFormer vs nix-stable-diffusion and see what are their differences.

CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer (by sczhou)

nix-stable-diffusion

Nix-friendly fork of: Optimized Stable Diffusion modified to run on lower GPU VRAM (by Danielhp95)
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CodeFormer nix-stable-diffusion
28 1
13,396 7
- -
2.0 10.0
about 1 month ago over 1 year ago
Python Jupyter Notebook
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CodeFormer

Posts with mentions or reviews of CodeFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-29.

nix-stable-diffusion

Posts with mentions or reviews of nix-stable-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-11.
  • Stable-diffusion in Nix
    8 projects | /r/NixOS | 11 Sep 2022
    I have been playing around with a memory efficient version of [stable-diffusion](https://github.com/basujindal/stable-diffusion), an AI model that outputs images based on input text. I think it is rather neat, and [this post](https://xeiaso.net/blog/stable-diffusion-nixos) by Xeiaso (good blog for nix resources and rants) inspired me to try and make the installation process more nix-friendly. So I have forked the original [stable-diffusion repo](https://github.com/CompVis/stable-diffusion) and added a [`default.nix`](https://github.com/Danielhp95/nix-stable-diffusion/blob/main/default.nix) which dumps you in a `nix-shell` with all dependencies: cuda (nvidia) stuff, python dependencies and C++ libraries for pytorch (deep learning framework). Although **note** that in order to run it you must first download the model weights from [this repo](https://huggingface.co/CompVis/stable-diffusion-v1-4) and place them in `models/ldm/stable-diffusion-v1/model.ckpt` directory.

What are some alternatives?

When comparing CodeFormer and nix-stable-diffusion you can also consider the following projects:

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

stable-diffusion-webui - Stable Diffusion web UI

taming-transformers - Taming Transformers for High-Resolution Image Synthesis

GPEN

stable-diffusion - A latent text-to-image diffusion model

Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

MidJourney-Styles-and-Keywords-Reference - A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM

stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]