prism
animegan2-pytorch
prism | animegan2-pytorch | |
---|---|---|
5 | 18 | |
101 | 4,339 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Python | Jupyter Notebook | |
MIT License | MIT License |
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prism
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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
animegan2-pytorch
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Python Mini Projects
rom PIL import Image import torch import IPython from IPython.display import display # upload images from google.colab import files uploaded = files.upload() # https://github.com/bryandlee/animegan2-pytorch # load models and face2paint utility function model_facev2 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v2") face2paint = torch.hub.load("bryandlee/animegan2-pytorch:main", "face2paint", size=512) for INPUT_IMG in ['KatLi.JPG']: img = Image.open(INPUT_IMG).convert("RGB") out_facev2 = face2paint(model_facev2, img) # display images display(img) display(out_facev2)
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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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Anime Botez Live! Her name-a.. Borat
I would recommend https://github.com/bryandlee/animegan2-pytorch and have used it for other videos, but Iām still working on my own model, the results of which you see above šš»
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The new doctor strange trailer, but I just applied an Anime filter to it :)
Sure, I used this Python library and the Inshot video editor https://github.com/bryandlee/animegan2-pytorch
- Need a 2D character design maker software/etc for a visual novel
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Cool (online) places for 2022
PyTorch Implementation of AnimeGANv2
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Try AnimeGANv2 with PyTorch on Google Colab
(2021.02.21) The pytorch version of AnimeGANv2 has been released, Be grateful to @bryandlee for his contribution.
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For u/CheritheFox
AnimeGAN2 PyTorch
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3D to 2D face AI for videos (AnimeGANv2)
github: https://github.com/bryandlee/animegan2-pytorch
source tweet: https://twitter.com/Yokohara\_h/status/1466521442686685188?s=20 web app(webcam): https://huggingface.co/spaces/nateraw/animegan-v2-for-videos web app(images): https://huggingface.co/spaces/akhaliq/AnimeGANv2 github: https://github.com/bryandlee/animegan2-pytorch
What are some alternatives?
style-transfer-pytorch - Neural style transfer in PyTorch.
ebsynth - Fast Example-based Image Synthesis and Style Transfer
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
AnimeGANv3 - Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
style-transfer-app - An asynchronous dual application (web + Telegram bot) for stylization images.
StyleCLIPDraw - Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
cupscale - Image Upscaling GUI based on ESRGAN
gradio - Build and share delightful machine learning apps, all in Python. š Star to support our work!
ProsePainter
pytorch-generative - Easy generative modeling in PyTorch.
fast-style-transfer - TensorFlow CNN for fast style transfer ā”š„šØš¼
neural-style-tf - TensorFlow (Python API) implementation of Neural Style