https://github.com/albertoxamin/telegram-deep-fakes-bot
This telegram bot uses the first order model to produce deepfakes video notes
https://github.com/albertoxamin/telegram-deep-fakes-bot
deep-fakes deep-neural-networks first-order-motion-model google-colab telegram-bot
Last synced: about 2 months ago
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This telegram bot uses the first order model to produce deepfakes video notes
- Host: GitHub
- URL: https://github.com/albertoxamin/telegram-deep-fakes-bot
- Owner: albertoxamin
- License: bsd-3-clause
- Created: 2020-04-08T11:09:33.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-08-16T07:52:26.000Z (almost 4 years ago)
- Last Synced: 2025-03-31T14:40:27.912Z (3 months ago)
- Topics: deep-fakes, deep-neural-networks, first-order-motion-model, google-colab, telegram-bot
- Language: Jupyter Notebook
- Size: 50.8 KB
- Stars: 81
- Watchers: 10
- Forks: 29
- Open Issues: 0
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Metadata Files:
- Readme: Readme.md
- License: LICENSE
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README
# telegram-deep-fakes-bot
This bot uses the first-order-model https://github.com/AliaksandrSiarohin/first-order-model to generate video note deep fakes
## How to use it
Open the python notebook with colab by clicking this 
And **follow the instructions on the notebook**.
> **NOTE:** due to too many requests there is no support, do **not** dm me if you can't start the bot. If you follow the instructions on Google Colab you will get the bot running. If you do not know how to use Google colab search a tutorial on youtube or online.
## Enabled users
You can change the enabled users by simply adding your Telegram ID(not username or name, but ID) to the `enabled` array.
For example:
`enabled =[12345678,12344321]`
here we have enabled two users, `12345678` and `12344321`.
If this array is empty, everyone can use your bot (for testing purposes, we decided to set it like that).
## Screenshot
