animegan2-pytorch
neural-style-tf
animegan2-pytorch | neural-style-tf | |
---|---|---|
18 | 3 | |
4,339 | 3,097 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | over 3 years ago | |
Jupyter Notebook | Python | |
MIT License | GNU General Public License v3.0 only |
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.
animegan2-pytorch
-
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)
-
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.
-
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»
-
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
-
Cool (online) places for 2022
PyTorch Implementation of AnimeGANv2
-
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.
-
For u/CheritheFox
AnimeGAN2 PyTorch
-
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
neural-style-tf
-
Anyone know of an app or a way I can take a photo and convert it into this style?
Look up Neural Style Transfer. There are many implementations.
-
[D] Anyone has experience with using DeepFlow2?
I'm trying to figure out how to extract ground-truth visualisation of optical flow in a png format from .flo files but can't wrap my head around the solution. The idea is to get output like this: https://github.com/cysmith/neural-style-tf/raw/master/examples/video/opt_flow.gif Git: https://github.com/zimenglan-sysu-512/deep-flow/blob/master/deep_flow2/deepflow2.m
-
Egg_irl
This comment inspired me to try and make a "Coolyori in the style of Aunt Cass" using neural-style-tf.
What are some alternatives?
ebsynth - Fast Example-based Image Synthesis and Style Transfer
AnimeGANv3 - Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
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.
StyleCLIPDraw - Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
cupscale - Image Upscaling GUI based on ESRGAN
neural-style-pt - PyTorch implementation of neural style transfer algorithm
gradio - Build and share delightful machine learning apps, all in Python. š Star to support our work!
deep-flow
ProsePainter
deep-motion-editing - An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]