prism
High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision :art: (by moritztng)
style-transfer-pytorch
Neural style transfer in PyTorch. (by crowsonkb)
| prism | style-transfer-pytorch | |
|---|---|---|
| 5 | 6 | |
| 101 | 468 | |
| - | - | |
| 0.0 | 3.9 | |
| almost 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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.
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.
prism
Posts with mentions or reviews of prism.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-07.
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Stable Diffusion might be the holy grail.
I'll point you towards Prism, then. As far as style transfer goes, it's the best I've found so far. Extremely simple to run in colab and offline, plus the results are quite good for what it's doing. I used it a ton before I started running Face Portrait v2 offline as a general "art" filter for things I'm working on. It does stylization and some facial morphing in one pass, which adds a lot more personality than style transfer alone. You can also use it on anything, not just faces.
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Best High Resolution Style Transfer
My best results are with https://github.com/moritztng/prism, but this only gets me to ~4MP max.
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How is it Possible To Create High Res Images With Low Res Network?
Naive question here. I notice a lot of style transfer libraries (e.g. https://github.com/moritztng/prism) can create high res images (2048x2048) or bigger.
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The Apple, Me, AI-Assisted Digital Collage, 2021
This is a mix of original photography, Prism, and some quick finalizations in Photoshop. The goal was to create something of an ironic still life.
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I built a shop based on style transfer where you can buy personal artworks as canvas prints
Code: https://github.com/moritztng/prism
style-transfer-pytorch
Posts with mentions or reviews of style-transfer-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-17.
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Windows 11 wallpaper style transfers
They're 2304p. I just used https://github.com/crowsonkb/style-transfer-pytorch locally, which takes about 10 minutes per image on my 1050ti. with 4gb of vram i can only get it to 568p, so i used https://github.com/n00mkrad/cupscale to upscale them
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Pinwheel
The GitHub repo for the code I made this with: https://github.com/crowsonkb/style-transfer-pytorch
- starry night drip
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Stylized Painting (made with my new high-res style transfer code)
The GitHub repo for the code I made this with: https://github.com/crowsonkb/style-transfer-pytorch
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Stylized Bird (made with my new high-res style transfer code)
It works on Colab, but you have to install the PyTorch version for CUDA 10.1. https://github.com/crowsonkb/style-transfer-pytorch/issues/1#issuecomment-769389269
What are some alternatives?
When comparing prism and style-transfer-pytorch you can also consider the following projects:
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
cupscale - Image Upscaling GUI based on ESRGAN
style-transfer-app - An asynchronous dual application (web + Telegram bot) for stylization images.
neural-style-pt - PyTorch implementation of neural style transfer algorithm
animegan2-pytorch - PyTorch implementation of AnimeGANv2
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
flownet2-pytorch - Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Neural-Tile - A better tiling script for Neural-Style
prism vs pytorch-AdaIN
style-transfer-pytorch vs cupscale
prism vs style-transfer-app
style-transfer-pytorch vs neural-style-pt
prism vs animegan2-pytorch
style-transfer-pytorch vs pytorch-neural-style-transfer
style-transfer-pytorch vs flownet2-pytorch
style-transfer-pytorch vs pytorch-AdaIN
style-transfer-pytorch vs Neural-Tile