cosh
VToonify
| cosh | VToonify | |
|---|---|---|
| 7 | 16 | |
| 128 | 3,468 | |
| - | - | |
| 9.3 | 1.0 | |
| 10 days ago | 6 months ago | |
| Rust | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
cosh
- FLiP Stack Weekly for 21 Jan 2023
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Show HN: Cosh – concatenative command-line shell
> That said, the examples could be better explained just like you did here now. The examples are not bad but things like the f iterator probably needs some explaining.
Thanks, the readme has been expanded now so that it has better examples, and the full documentation (https://github.com/tomhrr/cosh/blob/main/doc/all.md) is more clearly marked for those who are looking for more detail.
- cosh: concatenative command-line shell
VToonify
- FLiP Stack Weekly for 21 Jan 2023
-
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.
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