nix-stable-diffusion
CodeFormer
| nix-stable-diffusion | CodeFormer | |
|---|---|---|
| 1 | 28 | |
| 7 | 13,491 | |
| - | - | |
| 10.0 | 2.0 | |
| over 1 year ago | about 1 month ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
nix-stable-diffusion
-
Stable-diffusion in Nix
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.
CodeFormer
-
Automatic1111 for Intel Arc (A380 Tested)
CodeFormer
-
Working with a prompt someone posted earlier ( workflow in comments)
https://github.com/sczhou/CodeFormer like this, did you install anything???
- Robust Blind Face Restoration with Codebook Lookup Transformer
-
Images created in Automatic1111 on M1 Mac - Blue tint
https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth to /stable-diffusion-webui/models/Codeformer/codeformer-v0.1.0.pth
-
How can I make this command run?
I just watched a youtube video of two minute papers and I was impressed by this face restauration ai.
- Towards Robust Blind Face Restoration with Codebook Lookup TransFormer | high quality faces!
-
I tried restoring this REALY old photo of my wife's great great great great Grandpa.
Have you tried this instead? https://github.com/sczhou/CodeFormer , you can try it at https://replicate.com/sczhou/codeformer
- 12 best AI websites to make your life easier [save 100s of hours]
-
Hoping to get this 1890's photo of my great grandmother and her 3 sisters restored as a Christmas present for my father.
CodeFormer is another good alternative to GFPGAN if you're not pleased with its results.
- new ai upscale tech
What are some alternatives?
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - A latent text-to-image diffusion model
GPEN
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
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-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]