One-shot Face Stylization with JoJoGAN - In-depth face style transfer tutorial - Part (1/3)

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JoJoGAN just need one image to transfer human centric face landmarks i.e. eye size and color, bold lines to your target image. JoJoGAN can use extreme style references i.e. animal faces successfully with its one-shot (or few shot) face style transfer means just a little data is needed to train the model in comparative less amount of the time, i.e. under 30 second with GPU assistance.

This 3 part tutorials is everything you need to get started with StyleGAN and JoJoGAN more specific to Face Style Transfer.

Part 1 of 3: One-shot Face Stylization with JoJoGAN - In-depth face style transfer tutorial
- JoJoGAN Intro
- JoJoGAN Google Colab Exercise
- Inference using existing style models
- Training your own style
- Single image Source
- Multiple Images Source
- Animal Image Source

---------------------- Part 2 and Part 3 ----------------------

Part 2 of 3: One-shot Face Stylization with JoJoGAN - Code walk-through with detailed theory
- How JoJoGAN uses StyleGAN
- Google Colab Code walkthrough explaining
- Style training
- Inference Process
- Various Internal Details

- Saving Checkpoint model
- Exporting Style Model to disk
- Inference environment at Colab
- Deploying models at Colab
- Loading Style model and applying Style

GitHub Resources:

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬
- (00:00) Video Start
- (00:15) Why JoJoGAN
- (02:24) JoJo GAN Resources
- (03:40) Video Content Intro
- (05:35) Google Colab Setup
- (06:08) Loading Python Modules
- (11:05) Loading Source Image
- (12:16) Selecting Existing Style
- (16:37) You own Face Style
- (18:27) Fine-tuning GAN
- (21:04) Checking Results
- (21:58) Custom Style with Animal Face
- (24:00) GitHub Resources

Connect
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Tags:
#stylegan #ai #gan #cnn #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #mli #xai

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Sir a small trouble we cannot download the stylegan2.-ffhq-config-f.pt files from the urls could you please make a reply for this

Naruto-gizn

One-shot Face Stylization with JoJoGAN - In-depth face style transfer tutorial - Part (1/3)

One-shot Face Stylization with JoJoGAN - In-depth face style transfer tutorial - Part (1/3)

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