PTI
sd-webui-dragGAN-extension
| PTI | sd-webui-dragGAN-extension | |
|---|---|---|
| 4 | 1 | |
| 881 | 59 | |
| - | - | |
| 2.7 | 10.0 | |
| 6 months ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| MIT License | Creative Commons Zero v1.0 Universal |
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PTI
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NEW just released AI DragGAN is MIND-BLOWING! Revolutionary way to edit images.
you can do it by yourself with specific tool https://github.com/danielroich/PTI. Autor of repository even made Google Colab notebook.
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So Draggan code is finally released
from Dragan readme: This GUI supports editing GAN-generated images. To edit a real image, you need to first perform GAN inversion using tools like PTI. Then load the new latent code and model weights to the GUI.
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[D] New SOTA StyleGAN2 inversion paper explained in 5 minutes: Pivotal Tuning for Latent-based Editing of Real Images (PTI) by Daniel Roich et al.
[Full Explanation Post] [Arxiv] [Code]
- [R] Finally, Actual Real images editing using StyleGAN
sd-webui-dragGAN-extension
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So Draggan code is finally released
I just saw this, but idk if it's legit or not https://github.com/aleSheng/sd-webui-dragGAN-extension
What are some alternatives?
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
DragGAN - Official Code for DragGAN (SIGGRAPH 2023)
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
sd-webui-text2video - Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies
sd-webui-modelscope-text2video - Auto1111 extension consisting of implementation of text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies [Moved to: https://github.com/deforum-art/sd-webui-text2video]
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
sd-webui-deforum - Deforum extension for AUTOMATIC1111's Stable Diffusion webui
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
pytorch-gans - PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
DragGAN - Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" （DragGAN 全功能实现，在线Demo，本地部署试用，代码、模型已全部开源，支持Windows, macOS, Linux）