[New]FaceFusion 3.3.0, How to remove nsfw filter
FaceFusion Guide: How to Swap Faces in Videos
Includes Instructions on Disabling the nsfw Filter
The Ultimate Deepfake Usage Guide (for Educational Purposes)
Guide Video of How to remove nsfw filter for FaceFusion3.3.0
🔞 How to remove nsfw filter.
FaceFusion automatically blurs and blocks NSFW content (e.g., erotic video samples).
To bypass this filter, follow the steps below (for educational and legal use only):
Use the 3.3.0 dedicated URL that you purchased.
We have also prepared a shortened URL. This may take one extra click to deploy Colab. Both are the
same, so please use whichever you prefer.
Use the modified program “content_analyser.py” file
included in Gumroad Our the file you received after purchase just $8.
- We kindly ask you to purchase it for $8 on Gumroad.
Free access may lead to widespread sharing, which could draw unwanted attention and result in restrictions that may affect you too.
Please consider the $8 both as a preventive measure and a donation to support future FaceFusion updates.
After clicking >Install but before running >Run UI,
(OPTION) Click Modified Specifications and execute.
The process will take less than a
second to complete. Once complete, you will see the message “Completed: Successful
special modification.” That’s it, the NSFW filter will be disabled!
This will disable the NSFW filter.
Proceed with >Run UI as usual to launch the FaceFusion User Interface panel.
❓ Questions or Updates
Feel free to contact us if you have questions.
Updates and patches will be provided for future versions of FaceFusion.
🧩 About Open Source
FaceFusion is open-source software.
Open source means the software’s source code is freely available to view, modify, and redistribute, as long as the original licensing terms are respected.
However, please note:
⚠️ Images, videos, and personal likenesses may be protected by copyright or privacy laws.
Use responsibly and at your own risk.
📝 FaceFusion Credit
GitHub: https://github.com/facefusion/facefusion
📘 [Usage Guide]
1. Launch from Google Colab Link
What is Google Colab?
Google Colab is a free, cloud-based Python development environment provided by Google.
It allows you to write and run Python code directly in your browser, even on low-end hardware, and is suitable for high-performance tasks like AI processing and data analysis.
2. Log in with your Google Account
If you’re using Google Chrome and already logged in, you’re good to go.
If not, please log in with a Google account.
While Colab works in other browsers, Chrome is highly recommended.
3. Install Setup
clicking >Install,
After clicking >Install, you’ll see a warning prompt.
Click “Run Anyway” to continue.
Installation begins with a message like:
“Installing…”
This first warning is something to keep in mind in the future. In this
FaceFusion, there is code that may be “unauthorized” in the free plan of Colab.
The second warning tells you that this is not something you created (obviously, since we provided it) , so ignore it and select “Run anyway”.
4, Run UI
Execute the FaceFusion UI you installed in step by clicking >Run UI.
5. Launch the FaceFusion User Interface Panel
After running >Run UI, a link will appear in the output section.
Click the link to access the FaceFusion User interface.
6. Configure Settings in the User interface Panel
In the “SOURCE” field at the top center, upload the image of the face to be swapped in.
In the “TARGET” field, upload the video where the face will be swapped.
⚠️ If using a free Colab plan , keep video length to 15–20 seconds to avoid timeouts.
Longer videos may exceed the usage limit.
The default settings are generally fine.
However, change the audio output format from “flac” to “aac”
if your media player doesn’t support flac.
If the target video contains profile or side-facing shots,
check the “90” box under FACE DETECTOR ANGLES on the right-hand side.
7. Execute FaceFusion
Once everything is ready, click the “START” button at the bottom center.
When the process completes, the output video with the swapped face will be displayed.
You can download the result.
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