Txt2Vectorgraphics
Real-ESRGAN
Txt2Vectorgraphics | Real-ESRGAN | |
---|---|---|
30 | 131 | |
361 | 26,181 | |
- | - | |
3.7 | 2.7 | |
about 1 year ago | 24 days ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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.
Txt2Vectorgraphics
-
If you'd told me a few years ago that one day I would use a 3d printer to create artwork generated by an AI for a robot vacuum. The future is now.
I use the earlier version of this https://github.com/GeorgLegato/Txt2Vectorgraphics and it's great for output destined for cricut, laser, or 2-color z-hop graphics on 3D printer.
-
How to mimic the flash effect in SD
Indeed. Same guy who created this cool extension: https://github.com/GeorgLegato/Txt2Vectorgraphics
- SD-webui: Beta for Vectorstudio-extension, please test; check video
-
Preview: Vectorstudio extension for SD-Webui, Part I
https://github.com/GeorgLegato/Txt2Vectorgraphics the repo will be renamed to vectorstudio containing the features of this video (svg editor, sendto controlnet:img2img )
- Best model for black line illustrated art
-
Question: is it possible to create such illustrations with stable diffusion?
In addition I used my Txt2Vectorgraphics script to produce svg graphics as side effect and to ensure b/w only GeorgLegato/Txt2Vectorgraphics: Custom Script for Automatics1111 StableDiffusion-WebUI. (github.com)
- Logos
- Update: Txt2Vectorgraphics 0.3 - ControlNet + SVG preview
-
Update: Txt2Vectorgraphics 0.3
Release 0.3: SVG in gallery, controlnet support ยท GeorgLegato/Txt2Vectorgraphics (github.com)
- Any good models or ideas for single line art/scribbles?
Real-ESRGAN
-
AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:
https://github.com/xinntao/Real-ESRGAN/
It's pretty brilliant for cleaning up very old, low resolution anime.
-
Photorealistic Video Generation with Diffusion Models
Just a note you can run upscaling on your home desktop with Real-ESRGAN:
https://github.com/xinntao/Real-ESRGAN
- What software to use for upscaling anime edits
-
What neural net for SISR?
Maybe Real-ESRGAN is a good fit? Even tho it's a couple of years old
- Cant make concurrent calls to Model
-
Outis my beloved
I'm glad you noticed! I upscaled the icon from the wiki using Real-ESRGAN's 4xplus anime model, then photoshopped out the text. Worked far better than waifu2x.
-
ComicMerge (Beta testing version - SafeTensors)
A: Try using High-res Fix and R-ESRGAN 4x+ Anime6B as upscaler
-
Is there any way to upscale local files permanently using Nvidia's RT VSR?
Maybe try this one https://github.com/xinntao/Real-ESRGAN it may work even better.
-
YOASOBI Idol [3840 x 2160]
Screenshotted from the official music video, upscaled to 4k using a state of the art ML model.
-
Compilation of (almost) all end of chapter panels
Do you happen to remember which chapter has that "scene"? You could also try to enhance it yourself, I did it using Real-ESRGAN, which is really easy to use.
What are some alternatives?
deforum-for-automatic1111-webui - Deforum extension script for AUTOMATIC1111's Stable Diffusion webui [Moved to: https://github.com/deforum-art/sd-webui-deforum]
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
vtracer - Raster to Vector Graphics Converter
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
SHARK - SHARK - High Performance Machine Learning Distribution
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
SD-Regularization-Images-Style-Dreambooth
waifu2x - Image Super-Resolution for Anime-Style Art
sd-multi - Run multiple forks of Stable Diffusion
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset