SwinIR
CodeFormer
| SwinIR | CodeFormer | |
|---|---|---|
| 28 | 28 | |
| 4,082 | 13,396 | |
| - | - | |
| 0.0 | 2.0 | |
| 30 days ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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SwinIR
- A smooth and sharp image interpolation you probably haven't heard of
- Certain directories (e.g. SwinIR) are empty (version: Empire Media Science A1111 Web UI Installer)
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I used Real-ESRGAN to upscale my image, but if you zoom in you can see that “water particles” looks like some random lines and image overall looks cartoonish. Is there a way to fix it?
003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.pth
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Any luck changing the upscaler? They seem to be hard coded
I was trying to get a new upscaler working, as someone pointed me to one that did a good job of preserving and creating new details: https://github.com/JingyunLiang/SwinIR
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Spatial-temporal denoising
SwinIR: https://github.com/JingyunLiang/SwinIR
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A Monster Hunter: World Virtual Photography Tutorial - YouTube
Upscalers that I use SwinIR https://github.com/JingyunLiang/SwinIR https://github.com/AUTOMATIC1111/stable-diffusion-webui (Use 'extras' tab for the upscaler function) Topaz Gigapixel AI https://www.topazlabs.com/gigapixel-ai
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what are the alternatives to letsenhance.io?
You could try out chaiNNer, it is a free local/offline application. There are a lot of (upscaling) models which you can download an use with it. You can for example try out SwinIR-L (link will start a model download) or any other model you like depending on your input images.
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[R] Swin transformer while using a rectangular attention window
the relative attention bias can be made non-square in the original implementation, there is a parameter window_size, at 7, that is forced to (7,7) directly, but you can change it easily. https://github.com/JingyunLiang/SwinIR/blob/main/models/network_swinir.py
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Robot dance animation with Robo-Diffusion (1024x576)
Use SwinIR medium model to upscale by 2 times. This will result in a video of 2048x1152.
- Help Need to get my VQGAN images to 10000 x 10000
CodeFormer
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Automatic1111 for Intel Arc (A380 Tested)
CodeFormer
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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
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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
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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!
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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]
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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?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
stable-diffusion-webui - Stable Diffusion web UI
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
GPEN
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
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!
MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
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]