Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
Swaps a face in a picture through a web page, running as a Docker Space. The repository has no README text, so details come from its name and files. Use only faces you have the right to use.
Swap Face Model is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download zerovic/Swap-Face-Models-v1 --repo-type space --local-dir Swap-Face-Models-v1 cd Swap-Face-Models-v1
This Space is a face-swap app published by zerovic. It runs as a web page and is built from a Dockerfile. The repository has no README text, so the details come from the name and the files, which include sample pictures and folders named basicsr, gfpgan and models.
It suits people who want to try a face swap on pictures they have the right to use, and developers who want to see how a Docker-based image app is put together. Use only faces you have the right to use.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Media | Creators | Swap a face in a picture they own or have permission to edit | Make a playful edit of a photo with a friend's agreement |
| Software | Developers | Read app.py, the Dockerfile and the folder layout | See how a face-swap app is packaged in a container |
| Education | Learners | Study a working face-swap Space | Look at how the sample input, swap and result pictures are kept |
| Research | Image researchers | Try the app on their own test pictures | Check how the result looks on a picture they took themselves |
If you do not have permission to use the faces involved, skip it.
The app runs in two places.
| Use case | Who | What they get back |
|---|---|---|
| Swap a face | Anyone with the right to use the faces | A result picture with the face swapped |
| Study the code | Developers | app.py, the Dockerfile and the model folders to read and adapt |
| Run it privately | People who keep pictures on their own computer | A local copy that runs in a container |
The online Space needs none of this. For a local copy you need a few things first.
These are Hugging Face's steps for a local copy.
pip install -U huggingface_hub hf download zerovic/Swap-Face-Models-v1 --repo-type space --local-dir Swap-Face-Models-v1 cd Swap-Face-Models-v1 docker build -t swap-face-models-v1 . docker run -it -p 7860:7860 swap-face-models-v1
Open the Space page, or start your local container and open port 7860 on your computer in a browser. Then give the page the pictures it asks for. The file names input.jpg, swap img.jpg and result .jpg suggest an input photo, a face to swap in and a result.
| Tool | What it does |
|---|---|
| docker build | Builds the container image from the Dockerfile |
| docker run | Starts the app and publishes port 7860 |
You open the page and give it a photo and a face picture you have the right to use, if the page asks for those two. You run it, and one picture comes back with the face swapped.
A face swap puts the face from one picture onto the person in another. Start with two pictures that are yours to use, and look at the single result before trying more.
The Space is a Docker Space with app.py as the main file, listening on port 7860, and its record lists cpu-basic hardware at Hugging Face. The repository holds basicsr and gfpgan folders and a models folder, which suggest face restoration code and model files, but the source does not say how they are used. It also gives no speed or quality details.
A few facts are worth checking first.
Swaps a face in a picture through a web page, running as a Docker Space. The repository has no README text, so details come from its name and files. Use only faces you have the right to use.
Made by zerovic on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space is a face-swap app published by zerovic. It runs as a web page and is built from a Dockerfile. The repository has no README text, so the details come from the name and the files, which include sample pictures and folders named basicsr, gfpgan and models.
Who it suits: It suits people who want to try a face swap on pictures they have the right to use, and developers who want to see how a Docker-based image app is put together. Use only faces you have the right to use.
Industry | Who uses it | How they use it | Example
Media | Creators | Swap a face in a picture they own or have permission to edit | Make a playful edit of a photo with a friend's agreement
Software | Developers | Read app.py, the Dockerfile and the folder layout | See how a face-swap app is packaged in a container
Education | Learners | Study a working face-swap Space | Look at how the sample input, swap and result pictures are kept
Research | Image researchers | Try the app on their own test pictures | Check how the result looks on a picture they took themselves
If you do not have permission to use the faces involved, skip it.
Where to use it: The app runs in two places.
Use case | Who | What they get back
Swap a face | Anyone with the right to use the faces | A result picture with the face swapped
Study the code | Developers | app.py, the Dockerfile and the model folders to read and adapt
Run it privately | People who keep pictures on their own computer | A local copy that runs in a container
How to set it up: The online Space needs none of this. For a local copy you need a few things first.
These are Hugging Face's steps for a local copy.
pip install -U huggingface_hub
hf download zerovic/Swap-Face-Models-v1 --repo-type space --local-dir Swap-Face-Models-v1
cd Swap-Face-Models-v1
docker build -t swap-face-models-v1 .
docker run -it -p 7860:7860 swap-face-models-v1
How to use it: Open the Space page, or start your local container and open port 7860 on your computer in a browser. Then give the page the pictures it asks for. The file names input.jpg, swap img.jpg and result .jpg suggest an input photo, a face to swap in and a result.
Tool | What it does
docker build | Builds the container image from the Dockerfile
docker run | Starts the app and publishes port 7860
Example: You open the page and give it a photo and a face picture you have the right to use, if the page asks for those two. You run it, and one picture comes back with the face swapped.
For newcomers and experts: A face swap puts the face from one picture onto the person in another. Start with two pictures that are yours to use, and look at the single result before trying more.
The Space is a Docker Space with app.py as the main file, listening on port 7860, and its record lists cpu-basic hardware at Hugging Face. The repository holds basicsr and gfpgan folders and a models folder, which suggest face restoration code and model files, but the source does not say how they are used. It also gives no speed or quality details.
You open the Space page or run the container
You give the page the pictures it asks for
The app swaps the face in the picture
You see the result picture
Good to know: A few facts are worth checking first.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Swap Face Model This page | 21 | docker | mit | |
| AI JukeboxShares docker | 426 | docker | mit | |
| AUDIOShares docker | 25 | docker | apache-2.0 | |
| Xiaomi OCR 0 DemoShares docker | 18 | docker | apache-2.0 | |
| Image To ReliefShares docker | 3 | docker | mit | |
| Hermes Agent by Mega-EvolutionsShares docker | 3 | docker | mit |
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