VToonify
git-re-basin
| VToonify | git-re-basin | |
|---|---|---|
| 16 | 9 | |
| 3,468 | 438 | |
| - | - | |
| 1.0 | 3.5 | |
| 7 months ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | MIT 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.
VToonify
- FLiP Stack Weekly for 21 Jan 2023
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AI generated video: Best framework by Theo
this is a VToonify you can chek this here https://github.com/williamyang1991/VToonify
- FLiP Stack Weekly for 15-Jan-2023
- VToonify: Controllable high-resolution portrait video style transfer
- VToonify: Controllable High-Resolution Portrait Video Style Transfer
- VToonify - Controllable High-Resolution Portrait Video Style Transfer
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Hold on to your papers!
Here is the software repository
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Soup from a stone. Creating a Dreambooth model with just 1 image.
Vtoonify is a machine learning model (GAN) created that unlike stable diffusion always reproduces the same output given the same input. For example my character Midas went in looking like the right, can came out looking like the left.
git-re-basin
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Merge-Stable-Diffusion-models-without-distortion-gui
Implementation: https://github.com/samuela/git-re-basin
- I'm testing if the 1.5 and 2.0 model combine in Automatic 1111 now...
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I love SD but the pain is real
Wouldn't "applying the permutation" simply swap all the parameters in a model so they match on both models? For example, in https://github.com/samuela/git-re-basin/blob/main/src/cifar10_vgg_weight_matching.py, on line 184 they apply the permutation, and on line 192 they lerp from model A's params to the permuted model B's params. This lerp is basically a weighted sum merge, isn't it? At a lerp of 0.5, it would be somewhere in between model A and the permuted model B.
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Not really working, poorly coded sparse tensor compression of Dreambooth models. Help appreciated, code in comments
Definitely interesting, but you might get something useful out of https://github.com/samuela/git-re-basin ?
- Git Re-Basin: Merging models and preserving latent spaces (ie not the A111 linear interpolation)
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Most Popular AI Research Sept 2022 - Ranked Based On Total GitHub Stars
Git Re-Basin: Merging Models modulo Permutation Symmetries https://github.com/samuela/git-re-basin https://arxiv.org/abs/2209.04836v1
- [D] Most Popular AI Research Sept 2022 - Ranked Based On GitHub Stars
- Git Re-Basin: Merging Models Modulo Permutation Symmetries
What are some alternatives?
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
artbot-for-stable-diffusion - A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster
nicegui - Create web-based user interfaces with Python. The nice way.
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
storydalle
setfit - Efficient few-shot learning with Sentence Transformers
awk-raycaster - Pseudo-3D shooter written completely in gawk using raycasting technique
Text2Light - [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
LIA - [ICLR 22] Latent Image Animator: Learning to Animate Images via Latent Space Navigation